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Nanogenerators for energy harvesting: a holistic review of mechanisms, materials, and emerging applications

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Published/Copyright: January 28, 2026
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Abstract

Continuously increasing demand for compact, decentralized and sustainable energy solutions has increased interest in nanogenerators, which offer promising avenues for harvesting ambient energy across diverse environments. This study presents an in-depth review of all major types of nanogenerators, i.e., piezoelectric, triboelectric, pyroelectric, thermoelectric, electromagnetic, and hybrid systems, emphasizing their working principles, materials, synthesis techniques, device architectures, and performances. Special attention is given to recent advancements in cutting-edge materials, including 2D materials, MXenes, conductive polymers, perovskites, biodegradable and biocompatible composites, and porous nanostructures, that have significantly enhanced energy conversion efficiency, flexibility, and multifunctionality. A critical comparison of fabrication methods, scalability, and durability is provided to guide future research. A wide range of applications of nanogenerators, encompassing implantable and wearable medical devices, human-machine interfaces, Internet of Things nodes, soft robotics, and autonomous sensor systems, are discussed. By systematically integrating insights from material science, device engineering, and applied technology, this review offers a perspective on the current status, challenges, and future potential of nanogenerators as next-generation self-powered systems.

1 Introduction

The integration of digital technologies into daily life is reshaping infrastructure into smart, interconnected ecosystems. Modern society is increasingly dependent on distributed electronic systems that require continuous and reliable power, which includes applications in smart cities, autonomous robots, implantable biomedical devices and the Internet of things (IoT) [1], 2]. This led to an increase in global energy consumption, particularly for low-power, portable and embedded systems. Conventional energy sources such as batteries are often unsuitable as a power source for these devices. Especially in hard-to-access or implantable devices due to their limited lifespan, environmental impact and maintenance challenges [3]. Energy harvesting technologies have emerged as promising alternatives for powering self-sustained systems [4]. Primary energy sources, such as solar, electromagnetic, thermal and mechanical, are converted into electricity using mechanisms like photovoltaics, electromagnetic coupling, thermoelectric and pyroelectric conversion, and piezoelectric and triboelectric effects. These technologies are already being used in several applications, as illustrated in Figure 1.

Figure 1: 
Nanogenerators for energy harvesting: materials, device types, fabrication methods, applications, and future prospects.
Figure 1:

Nanogenerators for energy harvesting: materials, device types, fabrication methods, applications, and future prospects.

Beyond conventional solutions like solar panels, thermoelectric generators, and RF energy scavengers [6], [7], [8], nanogenerators have emerged as a class of microscale and flexible energy harvesters that are capable of converting even minute environmental energies into electricity. Nanogenerators were introduced in the early 2000s, and have evolved into six main types: piezoelectric, triboelectric, pyroelectric, thermoelectric, electromagnetic, and photovoltaic nanogenerators [9], [10], [11]. They have several advantages, such as compact form, lightweight, compatibility with soft/stretchable electronics and the ability to operate without external power, making them ideal for powering self-sustained systems [12], [13], [14]. Recent advancements in nanomaterials, fabrication techniques, and hybrid designs have significantly improved the performance and versatility of these devices, opening new frontiers in areas such as implantable medical devices, structural health monitoring, autonomous drones, and intelligent robotics [1], 15], 16]. The development of cutting-edge materials, such as ZnO nanowires, PVDF-based polymers, MXenes, quantum dots, 2D perovskites and biodegradable composites, has enhanced energy conversion efficiency, biocompatibility and integration potential [17], [18], [19].

Nanogenerators are defined as small-scale energy harvesting devices that convert mechanical, thermal, or electromagnetic stimuli into electrical output through piezoelectric, triboelectric, pyroelectric, thermoelectric, electromagnetic and hybrid mechanisms. While numerous reviews have addressed specific classes of nanogenerators, such as piezoelectric or triboelectric, only a few have presented a cross-comparison of the working principles and performance trade-offs across all nanogenerator types. This review also offers structure–property–performance relationships of these nanogenerators, and covers experimental outcomes and fabrication techniques across six nanogenerator types. This study also highlights emerging hybrid configurations, biocompatible and eco-friendly materials and multifunctional flexible systems, providing a comprehensive roadmap on how nanogenerators can enable future self-powered and autonomous systems.

1.1 Methodology

A systematic literature analysis was done to ensure comprehensive coverage of recent advances in nanogenerators. Scientific databases used to collect relevant studies in the field include Scopus and Web of Science. Studies published between 2020 and 2025 were considered to include the latest material innovations, fabrication techniques and applications. Keywords used for searching included nanogenerator, piezoelectric, triboelectric, hybrid nanogenerator, self-powered systems, wearable, and energy harvesting. Boolean combinations were used to broaden the search and capture emerging interdisciplinary work. Only peer-reviewed articles that presented original research, theoretical approaches, or reviews on nanogenerators were considered. Papers focusing only on macroscale harvesters, non-energy-related devices or papers lacking sufficient technical detail were excluded. The data collected was then synthesized to identify key advancements, common challenges and emerging directions across various nanogenerator types.

2 Classification of nanogenerators and working principles

Nanogenerators operate based on different energy conversion mechanisms. Each type is governed by specific physical variables that control charge generation and electrical output. Piezoelectric nanogenerators (PENGs) depend on strain induced polarization in non centrosymmetric crystals and thus produce a voltage proportional to the applied mechanical stress [20]. Triboelectric nanogenerators (TENGs) generate power through contact electrification and electrostatic induction. Its output is governed by surface charge density and separation geometry [21]. Pyroelectric nanogenerators (PyNGs) and thermoelectric generators (TEGs) convert thermal energy, but PyNGs depend on temporal temperature fluctuations and TEGs on spatial temperature gradients. Electromagnetic generators (EMGs) are not “nano” in scale; they are included here for a complete perspective on mechanical energy harvesting. EMGs operate via Faraday’s law of induction. Table 1 provides a consolidated comparison of these fundamental principles, scaling laws and operational domains.

Table 1:

Fundamental operating principles, scaling laws and performance characteristics of different energy harvesting technologies [22], [23], [24].

Type Governing principle Key stimulus Output scaling relation Optimal frequency range Typical voltage Typical current Typical power density Major limitations
PENG Piezoelectric effect (polarization under strain) Stress/strain V ∝ g 33 × stress

V ∝ d 33 × strain rate
10 Hz–1 kHz 1–150 V 10 nA–50 µA 1–100 μW cm−2 Fatigue, brittleness (material dependent), low strain tolerance
TENG Contact electrification and electrostatic induction Contact/separation V σ s /C

Q σ s
0.1–10 Hz 100–1,000 V 0.1–100 µA 10–1,000 μW cm−2 Humidity sensitivity, mechanical wear, high impedance
PyNG Pyroelectric effect (polarization change with dT/dt) Temporal ΔT (dT/dt) V ∝ p × (dT/dt) Thermal cycling 1–10 V pA–10 nA 0.1–10 μW cm−2 Requires dynamic heating/cooling, material stability
TEG Seebeck effect (spatial ΔT) Spatial ΔT (ΔT) V ∝ S × ΔT Continuous DC 10–100 mV (ΔT = 5–10 K) µA–mA ∼100 μW cm−2 (for ΔT = 5 K) Low efficiency, requires large, sustained gradient
EMG Faraday’s law of induction Magnetic flux change V ∝ -N· B /dt >100 Hz 0.5–5 V 1–100 mA 100–10,000 μW cm−2 Bulky at small scale, poor low-frequency response
Hybrid Coupled multi-physics mechanisms Multi-stimulus A combination of the above Broadened spectrum Mode-dependent Mode-dependent Variable/enhanced Design complexity, interfacial challenges, impedance matching

This comparison shows how structure and material properties affect performance and determine suitable applications. PENGs exhibit a linear response to strain, whereas TENGs depend on surface charge density, leading to complementary frequency domains of operation. PENGs are better suited for high-frequency, small-amplitude vibration. Whereas TENGs are good at capturing low-frequency, high-amplitude, intermittent mechanical energy. Due to these reasons, hybrid PENG-TENG systems are particularly effective for complex, real-world motions where both types of mechanical stimuli are present simultaneously, for example, biomechanical movement. The difference between the current-source-like behavior of TENGs (high voltage, high impedance) and the voltage-source-like behavior of PENGs (lower impedance) presents a critical challenge and opportunity for power management circuit design in integrated systems. The following sections will elaborate on each of these mechanisms, materials used, recent advancements and emerging applications.

2.1 Piezoelectric nanogenerators

Piezoelectric nanogenerators (PENGs) use a mechanical structure to transfer motion or vibrations to a piezoelectric material, and the deformation of the material generates an electric charge. Figure 2 illustrates the working principle of a PENG. The mechanical deformation leads to polarization changes and charge separation and generates electrical output during the pressing and releasing cycles. Depending on the application, these structures are commonly designed as cantilevers, beams, or membranes [25], [26], [27]. Their primary function is to transform kinetic energy into mechanical strain within the piezoelectric layer. The resulting charge is collected by the thin electrodes on the surface. Commonly used electrode materials are platinum [28], silver [29], aluminum [30], and copper [31]. The device is enclosed in a protective casing. To enhance insulation and structural stability, a polymer layer such as PET is often used. The generated electrical output can either be used directly or passed through conditioning circuits for further processing. This efficient setup enables mechanical energy to be used to power various electronic devices and sensors [5].

Figure 2: 
Working mechanism of a piezoelectric nanogenerator under mechanical deformation. (a) Initial state with randomly oriented dipoles, (b) aligned dipoles after mechanical poling, (c) compression generates positive and negative charges on opposite surfaces, (d) release leads to charge redistribution, (e) full cycle of deformation and relaxation results in alternating current generation (adapted from Ref [32] copyrights© 2022, The Royal Society of Chemistry).
Figure 2:

Working mechanism of a piezoelectric nanogenerator under mechanical deformation. (a) Initial state with randomly oriented dipoles, (b) aligned dipoles after mechanical poling, (c) compression generates positive and negative charges on opposite surfaces, (d) release leads to charge redistribution, (e) full cycle of deformation and relaxation results in alternating current generation (adapted from Ref [32] copyrights© 2022, The Royal Society of Chemistry).

PENGs are solid-state devices with low maintenance requirements and long operational lifetimes. They can produce varying voltage levels, but the current output is usually low. These devices are suitable for both micro-scale applications, like MEMS, and larger energy harvesting systems. The energy conversion performance depends on the frequency of the mechanical vibrations [5]. The piezoelectric materials used in a PENG determine the efficiency and durability of the device. These materials are generally classified into four main types: ceramics, single crystals, polymers, and organic-inorganic hybrid composites [33]. A wide range of substances, including paper and hydrophobic materials, has been utilized in various piezoelectric applications. PENG performance can be enhanced by using materials with higher d33​ values, along with optimizing fabrication techniques. Common methods for developing PENGs are hydrothermal synthesis, electrospinning, solution casting, dip coating, chemical vapor deposition (CVD) and sol-gel processes [34], [35], [36], [37], [38]. Piezoelectric materials can deteriorate over time or under harsh environmental conditions.

Beyond the structural operation shown in Figure 2, the working principle of a PENG is governed by the electromechanical coupling of piezoelectric materials. When mechanical stress σ is applied, the crystal lattice undergoes non-centrosymmetric distortion, producing a change in electric displacement D according to D = d33σ+ε T E, where d33 is the piezoelectric charge coefficient and ε T is the dielectric permittivity under constant stress. The generated charge flows to the electrodes to maintain electrostatic equilibrium, producing an open-circuit voltage V OC ≈ g33σt, where g33 = d33/(ε) is the piezoelectric voltage coefficient and the material thickness. At the atomic scale, this process results from the displacement of positive and negative charge centers in the unit cell and the reorientation of switchable ferroelectric domains. Since the induced current is proportional to the rate of strain I d 33 d ε dt . PENGs generate larger currents at higher vibration frequencies but saturate under quasi-static loads. Their equivalent electrical model is a voltage source connected in series with a capacitor, which is why they have high internal impedance and generate high voltage but low current [39]. These considerations are key to understanding material selection, device geometry and frequency-matched design for optimal PENG performance.

The concept of PENGs was first introduced by Wang in 2006, using zinc oxide (ZnO) nanowires to convert mechanical motion into electrical output [40]. Since then, PENG efficiency has improved significantly. This progress is mainly due to advances in piezoelectric materials, fabrication techniques and device design [41]. Table 2 provides a comparative overview of recent PENG materials, their synthesis methods, device fabrication, characterization methods, and performance metrics. Some PENGs can generate voltages higher than 100 V but have limited use due to low power output. For instance, PMMA/PDMS/organic nanowires (ONW)–Au–ZnO have demonstrated outputs of 170 mV [49], and PDMS/P(VDF-TrFE) achieved 150 V with a power density of 8.75 μW/cm2 [48]. Xu et al. [59] demonstrated self-powered nanowire devices using integrated ZnO nanowire arrays. This produced a peak voltage of 1.26 V at 0.19 % strain through lateral integration and a power density of 2.7 mW/cm3 via vertical stacking, sufficient to operate nanowire-based pH and UV sensors.

Table 2:

Summary of piezoelectric nanogenerator materials.

Material Type Synthesis techniques Production methods Characterisation methods Performance summary Ref.
PVDF/cellulose acetate (CA) composite Composite Solvent blending and ultrasonication Electrospinning and sandwich device assembly XRD, FE-SEM, FTIR V OC = 7.5 V, I SC = 2.1 µA, power density = 22.6 mW/m2 [31]
ZnO (nanowires) Ceramic nanowires Atomic Layer deposition (ALD), chemical bath deposition (CBD) Multistep fabrication, electrode assembly XRD, SEM, EDS, oscilloscope, electromechanical emulator, numerical power and energy analysis V OC = not reported, I SC = not reported, power density = 3,100 mW/m3 [42]
PDMS-BaTiO3 Polymer–ceramic composite (2D BaTiO3-oriented polycrystals in PDMS) Two-step hydrothermal synthesis Composite fabrication XRD, SEM, Raman, electrical output characterisation V OC = 13 V, I SC = 0.2 µA, power density = not reported [43]
SnS Monolayer 2D layered semiconductor Modified liquid metal van der Waals exfoliation technique Delamination onto flexible substrates, E-beam deposition of Cr–Au electrodes, and encapsulation Raman Spectroscopy, XPS, SEM, LPFM V OC = 0.15 V, I SC = 1.6 × 10−4 μA, power density = 24 mW/m2 [44]
Silicone rubber/samarium/titanium doped BiFeO3 (BFO) Polymer ceramic composite Solid state reaction, ball milling and calcination, and sintering Freeze-drying method, doctor blade coating, and electrical poling SEM, XRD, Raman spectroscopy, electrometer, LabView V OC = 16 V, I SC = 2.8 µA, power density = 31.1 mW/m2 [45]
PLA and BZCT Bio polymer and bio-ceramic Sol-gel method; single-step hydrothermal synthesis Solution casting method TEM, AFM, FE-SEM V OC = 14.4 V, I SC = 0.55 µA, power density = 7.54 × 106 mW/m3 [46]
BZT-BCT/PVDF Composite Solid state reaction method Solution casting, electrode coating, poling FE-SEM, XRD, COMSOL simulation, FTIR V OC = 20.61 V, I SC = 2 µA, power density = 4.12 × 106 mW/m3 [47]
PDMS/P(VDF-TrFE) Polymer composite Electrospinning Magnetron sputtering SEM, XRD, FTIR V OC = 150 V, I SC = 0.7 µA, power density = 87.5 mW/m2 (at optimal load) [48]
PMMA/PDMS/organic nanowires (ONW)–Au–ZnO Hybrid Plasma-enhanced chemical vapor deposition (PECVD), vacuum deposition Magnetron sputtering, spin coating, plasma etching SEM, HRTEM, XRD V OC = 170 mV, I SC = 0.067 µA, power density = not reported [49]
PVDF-TLNMs Nanofiber Electrospinning Cu electrode sandwiching, PET encapsulation (hot pressing) FE-SEM, FTIR, XRD, Impedance V OC = 4.08 V, I SC = 2.04 µA, power density = 20.8 mW/m2 [50]
PZT Ceramic-based multilayer actuator Solid-state reaction Tape casting, screen printing, lamination, sintering, electrode formation, poling, PDMS filling XRD, SEM, LCR meter, electrical output testing V OC = 10.41 V, 11.24 V, 12.26 V, I SC = not reported, power density = not reported, generated power = 0.63, 0.82, 1.25 mW (load-matched) [51]
PMN–PT/Ni–Mn–In Heterostructure DC magnetron sputtering, RF sputtering Layered heterostructure, encapsulation XRD, FESEM, XPS, PFM V OC = 9.3 V, I SC = 1.33 µA, power density = 27 mW/m2 [52]
KNN-PDMS Flexible polymer–ceramic nanocomposite Solid-state reaction Casting, thermal curing XRD, dielectric testing, P-E hysteresis studies, SEM V OC = 14.19 V, I SC = 2.10 µA, power density = 7.6 mW/m2 [53]
PVDF-LiNbO3 Composite Electrospinning Fiber mat fabrication, NB doping FESEM, EDS, XRD, ATR-IR, DSC, DC-EFM, ferroelectric tester V OC = 92.5 V, I SC = 48 µA, power density = 410 mW/m2 [54]
PVDF–CNT foam Porous form Salt-templated mixing in DMF, thermal treatment Salt leaching to create porous foam; silver paint electrode application FTIR, XRD, FESEM, oscilloscope, electrometer, d33 tester V OC = 12 V, I SC = not reported, power density = not reported, current density = 30 nA cm−2 [55]
PVDF/MoS2 @ZnO Composite films Liquid-phase exfoliation, in situ growth Solvent casting, hot pressing SEM, EDS, AFM, TEM, SAED, DLS, XRD, FTIR, impedance-analyser, d33 tester, piezoelectric testing V OC = 6.22 V, I SC = 0.528 µA, power density = Not reported [56]
GaN:Mg/ZnO Coaxial nanowire heterostructure VLS growth via MOCVD, ALD Spin coating, etching, transfer SEM, TEM, TEM-EDS, SAED, piezoelectric testing V OC = 66 V, I SC = 40 µA, power density = 1,700 mW/m2 [57]
P(VDF-TrFE)/AlN/ZnO Composite films Sonication and magnetic stirring Electrospinning and thermal annealing XRD, FTIR, SEM, nano measurer, Arduino-based signal analysis V OC = 23 V, I SC = 0.065 µA, power density = not reported [58]

Lead zirconate titanate (PZT) thin films are widely used in PENGs, but their fabrication is complex, and they contain high levels of lead (Pb), which is a toxic element. This toxicity limits their use in flexible, wearable and implantable medical technologies. Recent research has shifted toward developing environmentally friendly, cost-effective and lead-free alternatives, such as polyvinylidene fluoride (PVDF), zinc oxide (ZnO), barium titanate (BaTiO3), aluminum nitride (AlN), and complex perovskite ceramics like KNN-NTK [60], 61]. Table 2 also shows a strong trend towards lead-free alternatives. For example, PVDF/cellulose acetate (CA) composites have shown output voltages of 7.5 V [31], and ZnO nanowires produced up to 80 nJ of energy [42]. Similarly, PDMS-BaTiO3 achieved 13 V [43] and silicone rubber/samarium/titanium doped BiFeO3 (BFO) composites achieved 16 V [45]. PVDF and BaTiO3 have shown strong potential for integration into electronic systems. Bio-flexible piezoelectric nanogenerators (BF-PENGs) have exhibited excellent performance, particularly in the development of self-powered medical devices. BF-PENGs like PLA achieved 14.4 V [46]. Flexible biocompatible composites such as KNN-PDMS have demonstrated a V OC = 14.19 V [53]. Hydrogel-based PENGs have recently gained attention for their exceptional stretchability and flexibility [62], combining strong piezoelectric performance with conductive hydrogel structures. Natural polymer hydrogels are well-suited to green electronics due to their biocompatibility, elasticity, biodegradability, and non-toxic nature, making them ideal for sustainable energy harvesting applications.

Doping with rare-earth (RE) ions can enhance piezoelectric properties by reducing screening effects. The rare-earth group includes 17 elements, 15 lanthanides plus scandium and yttrium. Among these, samarium (Sm) and europium (Eu) dopants have demonstrated the highest piezoelectric coefficients [63]. Table 2 also illustrates the use of various advanced materials and dopants, such as P(VDF-TrFE)/AlN/ZnO composite films with V OC = 23 V [58] and PVDF/MoS2 @ZnO composites with V OC = 6.22 V [56]. RE doping can also enhance thermal and electric field stability and provide photoluminescent properties. Integrated synthesis and characterization approaches are advancing high-performance piezoelectric materials.

PENG performance depends on dipole alignment, domain mobility, and electromechanical coupling. The piezoelectric coefficient (d33) can be improved through domain engineering in ceramics (e.g., PZT, BaTiO3, KNN) by controlling domain orientation via poling, grain texturing, or epitaxial growth to maximize non-180° domain wall motion [64]. In polymer-based PENGs, such as PVDF and its copolymers, performance can be enhanced by inducing the β-phase through mechanical stretching, electrical poling, or the use of conductive fillers. Crystalline porous materials, including MOFs and COFs, have emerged as nanogenerator fillers due to their high surface area, tunable porosity, and chemical stability, leading to improved interfacial interactions and performance [65]. Dopant engineering (e.g., Mn2+, La3+ in PZT; Nb5+ in KNN) and artificial piezoelectric metamaterial design further improve d33 and g33 tunability beyond intrinsic limits [66]. Fatigue behavior is linked to polarization degradation under cyclic stress, which remains critical for reliability. Ceramics experience cracking and domain pinning, while polymers face dipole relaxation. Flexible composite structures, strain buffering interfaces, and self-healing polymers have recently improved endurance, highlighting a shift toward dynamic domain and interface engineering for durable, high-performance PENGs [67].

Ceramic systems such as BaTiO3, PMN, PT, and PZT-based devices have relatively higher power densities due to their strong electromechanical coupling. But they are brittle and have limited flexibility. Polymer-based systems, such as PVDF composites and PDMS, generate more modest energy output. They are suitable for wearable applications due to better flexibility and mechanical stability. Hybrid and nanostructured architectures such as MoS2@ZnO, PVDF-LiNbO3, and GaN/ZnO nanowires demonstrate how interfaces and filler induced polarization can improve performance by enhancing β-phase content, dielectric constant, and local electric fields. Overall, materials that improve dipole alignment, interfacial polarization, and flexibility exhibit the most balanced and scalable PENG performance, emphasizing the role of composite design and microstructural control.

2.2 Triboelectric nanogenerators

In 2012, Zhong Lin Wang and his team introduced the triboelectric nanogenerator (TENG) [68]. TENGs utilize the triboelectric effect combined with electrostatic induction to convert low-level mechanical energy into electrical power [69], 70]. There are four basic operational modes. In the single-electrode mode, only one electrode is attached to the triboelectric material, enabling a simple and flexible device architecture. This mode is suitable for self-powered sensing in complex or constrained environments where direct electrode pairing is impractical [71]. In contact-separation mode, the repeated contact and separation of two materials generates alternating charge flow. This is ideal for integrating into wearable or vibrating systems [72]. In plane-sliding mode, the lateral movement between two surfaces induces charge transfer. This is commonly used for sensing motion such as breathing or environmental waves [73]. The freestanding mode involves a dielectric layer moving independently between two electrode generating current from potential differences. This is used for applications in transport systems, environmental monitoring, and smart farming [74]. Figure 3 illustrates the four basic operational modes of TENGs.

Figure 3: 
Working principles of four fundamental triboelectric nanogenerator (TENG) modes: (a) vertical contact-separation mode, (b) lateral-sliding mode, (c) single-electrode mode, and (d) freestanding triboelectric-layer mode (adapted from Ref [77] copyrights© 2018, WILEY-VCH Verlag GmbH & co. KGaA).
Figure 3:

Working principles of four fundamental triboelectric nanogenerator (TENG) modes: (a) vertical contact-separation mode, (b) lateral-sliding mode, (c) single-electrode mode, and (d) freestanding triboelectric-layer mode (adapted from Ref [77] copyrights© 2018, WILEY-VCH Verlag GmbH & co. KGaA).

Electrostatic and triboelectric generators are compact, lightweight, produce high voltages and are used for portable and confined spaces. They are useful in dynamic environments involving irregular or fluctuating mechanical motion [75]. Due to lower power density than electromagnetic generators, they have limited use in high-power applications and require voltage conversion [76]. TENGs are affected by environmental conditions like humidity, temperature, and air pressure, which can impact their stability and performance.

TENGs are developed using various synthesis methods, including the sol-gel process, modified Hummer’s method, and a one-pot electrospinning approach [78], [79], [80]. Spin-coating techniques are used to fabricate both the electrode and triboelectric layer. Multiple cleaning processes are applied before assembly to ensure surface purity. Triboelectric materials and electrodes are trimmed to the specific dimensions required for the TENG device after fabrication. The triboelectric layers are then connected to their corresponding electrodes and arranged to face each other with a spacer separating them. Copper wires are finally attached to the electrodes and act as electrical terminals, as shown in Figure 4.

Figure 4: 
Schematic structure of a typical triboelectric nanogenerator (adapted from Ref [81] copyrights© 2020, Elsevier Ltd.).
Figure 4:

Schematic structure of a typical triboelectric nanogenerator (adapted from Ref [81] copyrights© 2020, Elsevier Ltd.).

Beyond the four basic TENG modes, electricity generation is through contact electrification and electrostatic induction. When two materials with different electron affinities come into contact, electrons transfer across the interface, creating an interfacial charge density (σ s) whose magnitude depends on the triboelectric potential, surface chemistry, and micro/nanostructures. After separation, these charges cannot recombine due to electrical insulation, creating a potential difference that drives free electrons through the external circuit to balance the electrostatic field. The open-circuit voltage can be approximated as V OC ≈ σ s d/ε 0, where dis the separation distance, revealing why voltage increases with spacing. The short-circuit current is determined by the rate of change of capacitance, I = d Q d t = σ s d A d t , or for sliding structures, by the rate of relative displacement between electrodes. TENGs thus behave as current sources at high frequency (where d C d t is large) but as voltage sources at high separation, explaining their characteristic high voltage–low current outputs [82].

TENGs face scalability and long-term stability challenges [83]. Humidity is a major challenge, as absorbed moisture forms conductive layers that increase charge leakage and reduce output stability. Dielectric breakdown can occur under repetitive contact or high voltage operation, especially in thin film architectures, leading to charge loss and material degradation. Surface recombination and environmental neutralization cause charge decay, reducing the durability of triboelectric charges. In oxide-based TENGs, surface states and ambient adsorption significantly limit charge retention and transfer efficiency [84]. Hydrophobic surface treatments, multilayer dielectric stacking, and elastomeric encapsulation are used to improve charge stability under humid conditions. Such material and structural optimizations are critical for achieving reliable large-area and wearable TENG devices.

TENGs often face challenges in energy use and storage because unpredictable mechanical inputs lead to inconsistent output amplitude and frequency [85], 86]. Their high internal impedance can lead to poor compatibility with electronic devices or storage systems, reducing overall efficiency. Conventional energy management approaches are insufficient, making improved energy management circuits essential. Among the four main application areas of TENGs, self-powered sensors are crucial for advancing microelectronic networks and expanding battery-free technologies [87]. Blue energy, particularly marine energy harvesting using triboelectric effects in liquid environments, shows strong potential for sustainable development [88]. TENGs harvest low-frequency mechanical energy in micro-nano systems to enable self-powered sensing and biosystems. [89]. They are also used in devices that require high-voltage input [77].

Four main methods are used to enhance TENG performance. Energy management uses circuit designs that are easy to implement and integrate, but increase system complexity and size. Structural optimization allows designs to be tailored for specific applications or durability, while increasing complexity. Surface microstructuring offers a compact method of improvement but requires specialized fabrication tools, raising production costs. Material modification is another important approach used to improve friction layer properties and increase output, but its complexity must be evaluated to ensure real performance improvements [86]. Numerous studies have explored TENG materials, their synthesis and production methods to optimize performance. For instance, MXene, a 2D material, has been utilized through MILD etching and spray coating to achieve high V OC ranging from ∼500 V to ∼650 V with an instantaneous peak power of 0.5–0.65 mW [90]. Researchers have also used cellulose nanofiber combined with Ag nanolayers, prepared via CNF homogenization and AgNW solution preparation, then processed through vacuum filtration and hot pressing/annealing, yielding V OC = 21 V and I SC = 2.5 µA [91].

Flexible composites and polymers are also widely studied. For example, PTFE/Ecoflex elastomers are formed by PTFE particle embedding and Ecoflex casting. This is followed by screen coating and thermal curing, and produces V OC = 1.33 V and I SC = 60.29 nA [92]. In another example, Nylon polymer nanofibers are synthesized via electrospinning and layer-by-layer deposition and achieve V OC = 200 V and I SC = 30 µA [93]. Natural polymers like chitosan have been transformed into TENGs through dissolving, film drying, and neutralization, yielding V OC ∼77 V and I SC ∼13 µA [94]. Similarly, a graphene oxide/carboxymethyl cellulose nanocomposite, derived from a modified Hummers’ method and sonication/blending, followed by casting and drying, produced V OC = 97 V and I SC = 1.2 µA [95].

Other innovations include laser Kapton-PDMS polymer-polymer layered structures [96], Polyurethane (PU) with Al electrodes via layer-by-layer casting and UV curing (V OC ∼500 V and I SC ∼2 µA) [97], and ITO-coated PET assembled layer-by-layer (V OC = 224.1 V and I SC = 79.9 µA) [98]. Furthermore, complex hybrid materials such as ZnO-AgNWs/PDMS (synthesized by electrospinning and hydrothermal synthesis, and processed via drop coating) [99], MoS2/PVDF-HFP prepared by hydrothermal synthesis and electrospinning [100], and paper-based TENGs utilizing oxidation, cationic modification, freeze drying, and compression molding [16] have shown significant output performance, demonstrating the vast potential of material modification in enhancing TENG capabilities. Table 3 provides various TENG materials explored in recent studies, synthesis approaches, device fabrication techniques, characterization methods, and performance metrics.

Table 3:

Summary of various triboelectric nanogenerator materials.

Material Type Synthesis techniques Production methods Characterisation methods Performance summary Ref.
MXene 2D material MILD etching Spray coating, vertical contact–separation device assembly with air-gap spacers Oscilloscope-based electrical characterization, load-dependent V–I–P measurements V OC = ∼500 to ∼650 V, I SC = 6.3–7.5 µA

power density = not reported
[90]
Cellulose nanofiber (CNF)–Ag nanowire paper Cellulose-based hybrid paper CNF homogenization, AgNW solution preparation Vacuum filtration, hot pressing/annealing HRFE-SEM, AFM, XPS, electrometer-based electrical measurements V OC = 21 V, I SC = 2.5 µA, power density = 693 mW/m2 [91]
PTFE/Ecoflex Stretchable elastomer (PTFE particle-modified) PTFE particle embedding, Ecoflex casting Mechanical sieve coating of PTFE particles, elastomer casting, thermal curing SEM, EDS, XRD, tensile testing, Impedance analysis, electrical output measurement V OC = 1.33 V, I SC = 0.06029 µA, power density = 6,890 mW/m2 L (droplet normalized) [92]
Nylon-6 nanofiber polymer nanofiber Electrospinning Contact–separation device assembly FTIR, XRD, TGA, FESEM, surface area analysis, micrometer, electrometer V OC = 200 V, I SC = 30 μA, power density = 890 mW m−2 [93]
Kapton-PDMS Polymer-polymer layered PDMS mixed and degassed under vacuum, Molded with pyramidal microstructure Vertical contact–separation TENG assembly Dual channel multimeter V OC = 3.5 V, I SC = 0.025 μA, power density = not reported [96]
Chitosan/Protein Biodegradable Solution casting, film drying, neutralisation Vertical contact–separation TENG assembly FTIR, SEM, XTM, electrical output measurement V OC ∼ 77 V, I SC ∼ 13 µA, power density = 224 mW/m2 [94]
Silk fibroin-modified carbon nanotube array Organic-inorganic Chemical vapor deposition, Immersion and freeze drying Freeze drying and layering FTIR, SEM, XPS, BET V OC = 80 V, I SC = 19 μA, power density = 5,800 mW m−2 [101]
Graphene Oxide/Carboxymethyl cellulose polymer-carbon nanocomposite Modified Hummers’ method, sonication and blending, then vacuum drying Casting, drying, Vertical contact–separation TENG assembly XRD, FTIR, Raman, FESEM, XPS, KPFM, electrical testing V OC = 97 V, I SC = 1.2 µA, Peak power = 41.4 µW

power density = not reported
[95]
Polyimide (PI) Self-healing Two-step polycondensation method, thermal imidization Casting, assembling FTIR, Raman spectroscopy, DSC, optical microscopy, tensile testing, electrometer V OC = 124 V, I SC =0.75 µA, QSC = 47 nC (area 4 cm2), power density not reported [102]
PU (Polyurethane)/Al electrode Flexible polymer with metal electrode None Layer-by-layer casting, UV curing, vertical contact–separation assembly SEM, XRD, oscilloscope, power–resistance analysis V OC ∼ 500 V, I SC ∼2 µA power density = 8,530 mW/m2 [97]
ITO-coated PET ITO/polymer None Layer-by-layer assembly with spacer alignment SEM, AFM, DSO Low-noise current preamplifier, Linear motor V OC = 224.1 V, I SC =79.9 µA power density = 171.6 mW/m2 [98]
Nanostructured PDMS Nanostructure (biocompatible) Plasma etching, spin coating, sputter deposition Layer-by-layer deposition and lamination SEM, EDX, FTIR, oscilloscope V OC = 14–52 V, Walking 18.3 V; Jogging 57.4 V; I SC not reported. power density = 306.2 mW/m2 [103]
ZnO-AgNWs/PDMS Flexible hybrid composite Electrospinning, sintering, hydrothermal synthesis Drop coating, vacuum curing SEM, EDX, XRD, BET analysis, d33 m, oscilloscope, electrochemical workstation. V OC = 146 V, I SC =1.1 µA

power density = 221.1 mW/m2
[99]
MoS2/PVDF-HFP polymer nanocomposite Hydrothermal synthesis Electrospinning, vertical contact–separation TENG assembly SEM, EDS, FTIR, XRD, XPS, dielectric analyzer, Keithley electrometer V OC = 208 V, I SC = 31 µA

power density = 1,420 mW/m2
[100]
Paper-based TENG Composite paper Oxidation, cationic modification, freeze drying, compression molding Solution blending, magnetron sputtering, layer-by-layer assembly FTIR, XPS, SEM, EDS Mapping, XRD, BET, Electrostatic voltmeter V OC = 222.1 V, I SC = 4.3 µA

power density = 217.3 mW/m2
[16]

The studies summarized in Table 3 collectively highlight how material chemistry, surface functionalization, and micro/nanostructuring drive performance improvements in TENGs. Device efficiency is determined by the combined effects of dielectric properties, charge affinity, mechanical flexibility, and interfacial engineering, not just output values. For example, 2D materials such as MXenes use electronegative surface groups, natural polymers rely on molecular dipoles and hydrogen bonding, and hybrid composites like ZnO–AgNWs/PDMS depend on combined piezoelectric and triboelectric effects. These qualitative trends demonstrate that material selection and structural tuning are equally, if not more, important than the absolute voltage or current values reported.

2.3 Pyroelectric nanogenerators

The pyroelectric effect was first identified during studies on how temperature changes influence the polarization intensity of materials. Research into pyroelectric materials and their practical applications has become a key area of focus with advancements in laser and infrared technologies [104]. This effect arises when temperature fluctuations over time lead to variations in a material’s surface charge density. In piezoelectric materials, the effect stems from intrinsic lattice asymmetry, but in pyroelectric materials, it requires self-polarization to generate an electric field within their crystal structure [105]. As the external temperature changes, the positions of electric dipole centers shift within the material. This results in a redistribution of bound surface charges. Pyroelectric materials can be categorized into single crystals such as LiNbO3 and ZnO, ceramic metal oxides such as PZT, organic polymers such as PVDF, and various composites [106]. For example, ZnO synthesized via hydrothermal methods and seed-assisted growth produced a V OC ≈ 5.8 mV [107]. In another example, KNbO3 nanowires prepared through hydrothermal and spin coating techniques, followed by electric poling, achieved I SC = 120 pA and V OC = 10 mV [108].

Pyroelectric materials such as barium titanate and tourmaline exhibit spontaneous polarization along their polar axis due to aligned dipole moments, resulting in surface charge generation under temperature variation [109], 110]. These materials exhibit spontaneous polarization due to the alignment of dipole moments in the direction normal to the surface. This polarization, defined as the net dipole moment per unit volume at room temperature without any external electric field, enables the material to attract charged particles like electrons or ions. When placed between two conductive plates of a capacitor (as shown in Figure 5), the material induces charge accumulation on the electrodes until its surface charge is balanced. It will be discharged when this charged capacitor is connected to an external circuit. Current stops flowing when the system stabilizes and the temperature remains unchanged. In pyroelectric materials, a rise in temperature leads to a reduction in the net dipole moment and a decrease in spontaneous polarization; a drop in temperature has the opposite effect. As illustrated in Figure 5(c–d), temperature variations modify the amount of bound charge on the material. This change induces a movement of free charges to balance the altered bound charge and generates current in the external circuit known as pyroelectric current.

Figure 5: 
Schematic illustration of the working mechanism of a pyroelectric nanogenerator (PENG). (a) Initial state with aligned dipoles and spontaneous polarization (Ps); (b) static condition with no temperature change (Dt/Dt = 0), resulting in no current flow; (c) increasing temperature (Dt/Dt > 0) causes reorientation of dipoles and outward current generation; (d) Decreasing temperature (Dt/Dt < 0) reverses dipole orientation and induces inward current flow. The cyclic variation in temperature leads to alternating current output due to the pyroelectric effect (adapted from Ref [111] copyright© 2018, MDPI).
Figure 5:

Schematic illustration of the working mechanism of a pyroelectric nanogenerator (PENG). (a) Initial state with aligned dipoles and spontaneous polarization (Ps); (b) static condition with no temperature change (Dt/Dt = 0), resulting in no current flow; (c) increasing temperature (Dt/Dt > 0) causes reorientation of dipoles and outward current generation; (d) Decreasing temperature (Dt/Dt < 0) reverses dipole orientation and induces inward current flow. The cyclic variation in temperature leads to alternating current output due to the pyroelectric effect (adapted from Ref [111] copyright© 2018, MDPI).

Lead-based ceramic PZT and BaTiO3-doped PMNT composites are widely studied due to their strong pyroelectric coefficients [11]. Ferroelectric oxide thin films like BiFeO3 are studied for their high d33 values [112]. Organic and conductive polymer materials such as PVDF-TrFE are also key areas of research, offering flexibility and demonstrating promising power and energy densities [113].

The operation of a pyroelectric nanogenerator (PyNG) is governed by the temperature-dependent behavior of spontaneous polarization in ferroelectric materials. Unlike piezoelectricity, which responds to mechanical stress, pyroelectricity arises exclusively from the time derivative of temperature. The governing constitutive relation is I = p A d T d t , where p is the pyroelectric coefficient, A is the electrode area, and d T d t is the rate of temperature change. A temperature increase reduces the magnitude of spontaneous polarization P s , while cooling enhances it, producing a displacement current as free charges flow to screen the changing bound charge. The open-circuit voltage can be approximated as V O C p t ε d T d t , where t is the film thickness and ε is dielectric permittivity, revealing why thinner materials produce higher output. Because pyroelectricity depends on d T d t rather than absolute temperature, PyNGs act as current sources driven by thermal transients, not static thermal gradients [114]. Their equivalent electrical behavior resembles a current source in parallel with a capacitor and resistor, leading to strong frequency dependence: faster and periodic thermal fluctuations yield higher output, while steady temperatures produce no current. At the atomic scale, the effect is governed by thermally induced reorientation of off-center ions (e.g., Ti in BaTiO3, Nb in KNbO3), which modify the dipole moment of the unit cell. These principles explain why pyroelectric devices are most effective in environments with cyclic heating, such as IR radiation, pulsating heat sources, or periodically modulated thermal fields, and why thermal diffusivity, heat capacity, and interface engineering are critical for maximizing PyNG performance. Table 4 summarizes various PyNG materials with their synthesis, device fabrication, characterization methods, and performance metrics. Overall, polymer-based composites currently show the highest pyroelectric outputs due to interfacial polarization effects, while oxide and nanowire-based PyNGs offer superior thermal stability and intrinsic polarization but lower current densities. This distinction is critical when selecting materials for wearable, flexible, or high-temperature applications.

Table 4:

Summary of various pyroelectric nanogenerator materials.

Material Type Synthesis techniques Production methods Characterisation methods Performance summary Ref.
ZnO Semiconducting oxide Hydrothermal Seed-assisted growth low-noise voltage/current preamplifier V OC ≈ 5.8 mV, I SC ≈ 108–120 pA, operates under uniform temperature fluctuation without spatial gradient [107]
KNbO3 Lead-free nanowire Hydrothermal, Spin coating Electric poling TEM, SAED, HRTEM, SEM V OC ≈ 10 mV, I SC ≈ 120 pA (sunlight: V OC ≈ 2.5 mV, I SC ≈ 25 pA); pyroelectric coefficient p ≈ 0.8 nC/cm2·K [108]
PVDF-TrFE/rGO Nanocomposite Modified Hummers’ method Langmuir–Schaefer (LS) deposition method XPS, FT-IR, XRD, Four-point probe conductivity measurement, source meter p = 334 μC/m2·K, Energy density = 3.85 mW/cm2 (ΔT = 20 °C); p increases to 707 μC/m2·K at ΔT = 20 °C–60 °C range. [113]
BaTiO3-doped PMNT Doped ferroelectric Solid-state reaction via precursor method Powder synthesis, sintering XRD, electrometer, impedance analysis The pyroelectric coefficient of 0.05 BaTiO3-PMNT ∼0.0084 C/m2 K, and that of 0.10 BaTiO3 PMN ∼0.0043 C/m2 K [11]
BiFeO3 Ferroelectric thin film Chemical spray pyrolysis, annealing Dissolving, spraying, annealing XRD, SEM, EDX, AC-STEM, EELS, XPS, PFM, SSPFM, AFM Effective d33 values exceed 60 pm V−1, No pyroelectric output reported [112]

2.4 Thermoelectric nanogenerators

The thermoelectric effect is a phenomena where charge carriers, electrons or holes, move from a region of higher temperature to a region of lower temperature under the influence of a thermal gradient and thus generates electric current or voltage. This converts heat into electrical energy and vice versa. The three primary effects involved in this conversion are the Seebeck effect, Peltier effect, and Thomson effect [115], [116], [117]. The Seebeck effect (Figure 6(a)), discovered by Thomas Johann Seebeck in 1821, is the direct conversion of a temperature difference into an electric voltage. When a temperature gradient exists across dissimilar conductors or semiconductors, the charge carriers redistribute and induce a thermoelectric potential. The strength of this behavior is characterized by the Seebeck coefficient (S). It is defined as the voltage generated per unit temperature difference [118], 119].

Figure 6: 
Schematic of thermoelectric effects (a) Seebeck effect: voltage from temperature gradient (b) Peltier effect: heat transfer via current at junctions (c) Thomson effect: heat absorption/emission in a single material with current and temperature gradient (adapted from Ref [120] copyrights© 2024, Elsevier B.V.).
Figure 6:

Schematic of thermoelectric effects (a) Seebeck effect: voltage from temperature gradient (b) Peltier effect: heat transfer via current at junctions (c) Thomson effect: heat absorption/emission in a single material with current and temperature gradient (adapted from Ref [120] copyrights© 2024, Elsevier B.V.).

The Peltier effect (Figure 6(b)), reported by Jean Charles Athanase Peltier in 1834, is the reverse of the Seebeck effect. When an electric current passes through a circuit of two different conductors, the heat is absorbed or released at the junction, resulting in heating or cooling of that region. This occurs because charge carriers carry thermal energy, which is exchanged as they move between materials with different energy levels. The Peltier coefficient (π) quantifies this heat transfer per unit of electric current [121], 122]. The Thomson effect (Figure 6(c)), discovered by William Thomson, is observed when a single conductor with a temperature gradient carries an electric current. As charge carriers move through this gradient, they absorb or release heat depending on the direction of both the current and the temperature gradient. This is given by the Thomson coefficient (τ) and is usually smaller in amplitude [123], 124].

In terms of materials, studies include 2D materials like MXene composites, synthesized via chemical etching and produced through vacuum filtration for low-power applications [125]. Another example is the carbon nanotubes that are developed using electrostatic spraying and fiber-based TEG assembly [126]. Materials like Bi2Te3, an N-type semiconductor, and Silicon Nanowires are also studied for their high ZT values, which is a measure of thermoelectric efficiency. They are fabricated mainly through solvothermal synthesis and metal-assisted chemical etching, respectively [127], 128]. PEDOT:PSS, a conductive polymer, and SnSe/PEDOT:PSS composite film, often produced via wet-spinning or ultrasonication dispersion, are explored for their high electrical conductivity and potential in thermoelectric devices [129], 130]. Tellurium nanowires have also been integrated into thermoelectric hydrogel composites through hydrothermal synthesis for flexible applications [131].

At the material level, the operation of a thermoelectric nanogenerator is driven by the diffusion of charge carriers along a temperature gradient. When one side of a thermoelectric material is heated, electrons or holes gain higher kinetic energy and drift toward the cooler side, creating a built-in electric field and a measurable thermovoltage. The magnitude of this response is defined by the Seebeck coefficient, which is strongly influenced by carrier concentration, band structure, and chemical composition. Heat and charge transport are tightly coupled, meaning that electrical conductivity and thermal conductivity compete, i.e., materials with high electrical conductivity but low lattice thermal conductivity (e.g., Bi2Te3, SnSe, PEDOT:PSS composites) are preferred for high thermoelectric performance [132], 133]. At the nanoscale, phonon scattering at grain boundaries, defects, and interfaces reduces heat conduction while preserving charge transport, which is why nanostructuring is a widely used strategy to enhance efficiency. In practical terms, TEGs behave like steady DC sources with low voltage and current output, so their performance is highly dependent on achieving sufficient temperature gradients and optimizing material architecture for efficient heat flow. Table 5 provides various thermoelectric nanogenerator materials, synthesis, device fabrication techniques, characterization methods, and performance metrics.

Table 5:

Summary of various thermoelectric nanogenerator materials.

Material Type Synthesis techniques Production methods Characterisation methods Performance summary Ref.
MXene 2D material Chemical etching, exfoliation/delamination Vacuum filtration and drop-casting, thermal annealimg XRD, Raman spectroscopy, SEM, TGA-DSC, four-probe conductivity, Seebeck coefficient measurement, I–V characterization V OC = 35.3 mV, I SC = not reported, power density not reported, Output power = 33.9 nW, first fully MXene-based TE nanogenerator; PF ≈ 11.06–13.26 μW m−1 K−2; flexible design. [125]
Carbon nanotube fibers Fiber-based carbon nanomaterial Electrostatic spraying Annealing, twisting and shaping of CNTFs, PEI impregnation, and fiber-based TEG assembly Raman, SEM, TEM, XPS, four-probe electrical conductivity, Seebeck coefficient measurement, 3ω thermal conductivity, I–V characterization V OC = 6.46 mV, I SC = 4.06 µA, power density = 0.20 nW K−1·unit−1, power: 26.2 nW [126]
Bi2Te3 Semiconductor Solvothermal synthesis SPS consolidation and pellet machining XRD, SEM, AFM, Hall measurements, Seebeck coefficient, electrical conductivity, laser flash thermal diffusivity, compression testing Peak ZT value of ∼0.69 at 333 K,No V OC/I SC/power data (material study only) [127]
PEDOT:PSS Conductive polymer Freeze-thaw treated DMSO-doped PEDOT:PSS dispersion Wet-spinning, coagulation, thermal drying FESEM, AFM, OM, POM, rheometry, Seebeck coefficient measurement, four-point probe, digital multimeter, voltage amplifier Electrical conductivity of 1,013 ± 32 S cm−1,Seebeck coefficient: 19 ± 1 μV/K, power factor (PF): 34 ± 2 μW/m K2 [129]
SnSe/PEDOT: PSS Composite films Ultrasonication dispersion Vacuum filtration, nitrogen drying SEM, Raman spectroscopy, Seebeck & electric resistivity measurement, Hall-effect measurement V OC = 3.73 mV, I SC = 15.48 nA, power density = not reported, power: 14.74 nW (device), power factor (PF): 59.35 μW/m·K2 at 393 K (film) [130]
Silicon Nanowires Nanostructure Nano-imprint lithography, metal-assisted chemical etching, doping Double-sided patterning, chemical vapor deposition, spin on glass filling, reactive ion etching, Ni/Ag Ohmic contact formation SEM, four-probe method, lock-in amplifier, hot plate setup, FDTR, Seebeck voltage–temperature gradient method ZT value: 0.211 (exp), 0.24 (SiNW/SOG) at 700 K, thermal conductivity: 0.644 W/mK, electrical conductivity: 4,288 S/m, Seebeck coefficient: 225 μV/K. No V OC/I SC/power data (material study only) [128]
Tellurium-nanowire-doped PEDOT:PSS/polyvinyl alcohol hydrogel Thermoelectric hydrogel Hydrothermal synthesis Polymer blending, mold casting, silver layer deposition, staggered Z-structure stacking, SEM, XRD, XPS, tensile testing, electrochemical workstation, AC four-probe conductivity, Seebeck (ΔV–ΔT), thermal conductivity measurement V OC = 23.8 mV, I SC = 0.83 µA, power density = 33.7 μW/m2, V OC = 138 mV (human arm); Seebeck coefficient: 787 μV/K, ZT: 4.3 × 10−4 (at 1.5 wt% Te-NWs), thermal conductivity 0.468 W m−1 K−1 [131]
PEDOT:PSS Organic Spin coating PEDOT:PSS solution coated onto tissue paper substrate AFM, SEM, electrical characterization (SMU), precision temperature measurement (Pt100) V OC = 0.52 V (ΔT = 85.5 K), I SC = 1.1 µA (ΔT = 25.9 K), Max power = 0.32 µW (ΔT = 85.5 K, matched load 200 k Ω); stable over >1 month; flexible and skin-attachable [134]

2.5 Electromagnetic generators

The electromagnetic generators (EMGs) operate on the principle of electromagnetic induction, first discovered by Michael Faraday [135]. Electromagnetic induction occurs when a change in magnetic flux within a closed circuit induces an electromotive force (EMF), leading to the flow of electric current. Different EMG designs have been developed by changing how magnets and coils move relative to each other to improve energy harvesting under different types of mechanical motion (Figure 7). This relationship is mathematically described by the equation:

(1) E = n Δ Φ / Δ t

where E is the induced EMF, ΔΦ is the change in magnetic flux over time, and n is the number of turns in the coil. To amplify the induced voltage, coils with multiple turns are commonly used.

Figure 7: 
Schematic illustrations of common EMG configurations: (i) perpendicular relative motion of a magnet over a coil, (ii) parallel relative motion, (iii) vertical motion of a magnet inside a coil, and (iv) horizontal movement of a coil between a pair of magnets (adapted from Ref [136] copyrights© 2020, Elsevier Ltd.).
Figure 7:

Schematic illustrations of common EMG configurations: (i) perpendicular relative motion of a magnet over a coil, (ii) parallel relative motion, (iii) vertical motion of a magnet inside a coil, and (iv) horizontal movement of a coil between a pair of magnets (adapted from Ref [136] copyrights© 2020, Elsevier Ltd.).

Stable and continuous output of EMG makes them suitable for large-scale power generation. They are highly efficient in converting mechanical energy into electricity, resulting in minimal energy losses. It has a large size and weight due to magnetic materials and coil windings, making it unsuitable for compact or lightweight applications like portable electronics or wearables. Their manufacturing is also complex due to these components [137], 138]. EMGs use copper coils and strong permanent magnets to produce electricity. Neodymium-iron-boron (NdFeB) magnets are commonly used because they create strong magnetic fields and improve efficiency [139]. Miniaturized EMGs have been made using MEMS-compatible methods, where planar coils are fabricated on silicon substrates together with integrated magnetic components [140].

An EMG works based on Faraday’s law. When mechanical motion changes the magnetic field around a coil, it induces an electric voltage. At the microscopic scale, this process arises from the Lorentz force acting on free electrons in the conductor. As the coil or magnet moves, charge carriers experience a force q(v × B) that drives them along the wire and generates current. The induced voltage scales with the rate of flux change (dΦ/dt), meaning that EMGs naturally favor high-frequency, large-amplitude motions. Their equivalent circuit resembles a low-impedance AC power source, in contrast to the high-impedance behavior of TENGs and PENGs. However, when miniaturized, the magnetic flux linkage drops sharply because magnetic field strength and effective area decrease, causing substantial losses in output [141]. Due to this limitation, hybrid systems are used, where EMGs harvest energy from high-frequency motion. Piezoelectric or triboelectric parts are added to collect energy from low-frequency movements.

Recent work has led to flexible EMGs that use soft structures and elastomer films. These designs allow the devices to bend and stretch easily. As a result, they can harvest energy efficiently from low-frequency motion in wearable applications [142]. Traditional EMGs work very efficiently at large sizes, but their performance drops when they are made smaller. This is because the magnetic flux becomes weaker, and bulky magnets are difficult to integrate into miniaturized devices. These constraints have motivated significant research interest in hybrid nanogenerator systems that combine electromagnetic induction with other mechanisms. For instance, several studies have demonstrated hybrid EMG-PENG configurations where electromagnetic coils are integrated with PVDF or ZnO nanowire arrays. This enables simultaneous harvesting of low-frequency vibrations through piezoelectric effects and high-frequency motions through electromagnetic induction [143]. EMG-TENG hybrid systems have also been developed using rotating magnetic parts that activate both triboelectric and electromagnetic generation at the same time. This allows the device to harvest energy over a wider range of motion and frequencies [22]. These hybrid approaches help overcome the main limitations of traditional EMGs. They allow different energy harvesting methods to work together. This opens new possibilities for collecting energy from multiple types of motion and environments.

2.6 Photovoltaic nanogenerators

Solar cells (SCs) convert sunlight into electricity using the photovoltaic effect. This process occurs in a semiconductor material featuring two oppositely doped regions separated by a depletion layer. When solar radiation is absorbed, it generates electron-hole pairs within the semiconductor [144]. These charge carriers are driven apart by the internal electric field at the junction, and when the two regions are connected through an external circuit, the electrons flow, producing an electric current. As illustrated in Figure 8, a photovoltaic cell consists of N-type and P-type semiconductor layers that generate electric current when exposed to sunlight through the photovoltaic effect.

Figure 8: 
Basic structure of a photovoltaic cell showing N-type and P-type layers generating electricity from sunlight via the photovoltaic effect (adapted from Ref [136] copyrights© 2020, Elsevier Ltd.).
Figure 8:

Basic structure of a photovoltaic cell showing N-type and P-type layers generating electricity from sunlight via the photovoltaic effect (adapted from Ref [136] copyrights© 2020, Elsevier Ltd.).

Among the various types of SCs available, those most used in photovoltaic-nanogenerator hybrid cells (PV–NG HCs) include silicon-based cells, dye-sensitized solar cells (DSSCs), quantum dot-sensitized solar cells, and polymer-based bulk heterojunction cells [145]. The first reported PV–NG hybrid device integrated a ZnO nanowire–based PENG with a DSSC constructed on aligned ZnO nanowire arrays, enabling simultaneous harvesting of mechanical and solar energy within a shared nanowire architecture [146]. Since this pioneering work, advancements in solar cell technologies have led to the development of PV–NG HCs incorporating a wider range of novel SC types, as documented in subsequent research.

The operation of a photovoltaic cell is governed by photogeneration and carrier transport processes within the semiconductor. When incident photons with energy greater than the bandgap are absorbed, they create electron–hole pairs, which are immediately separated by the built-in electric field of the p–n junction or heterojunction interface. The resulting photocurrent density (Jph) depends on the absorption coefficient, minority carrier diffusion length, and recombination dynamics within the depletion region. Materials with high carrier mobility and long diffusion lengths, such as crystalline silicone, perovskites, or organic bulk heterojunctions, facilitate efficient charge extraction. However, carrier recombination at grain boundaries, defects, or interfaces reduces V OC and fill factor (FF), making interface engineering and surface passivation essential [147], 148].

Recent studies show that different materials are being used to improve the performance of SCs. For example, monocrystalline silicon with blended TiO2–Al2O3 antireflective coatings applied via RF sputtering demonstrated a power conversion efficiency of 20.16 % [149]. For thin-film solar cells, amorphous silicon (a-Si) deposited by plasma-enhanced chemical vapor deposition (PECVD) has achieved efficiencies of 10.22 % in single-junction devices and 12.69 % in tandem cell configurations [150]. Hybrid organic–inorganic perovskite materials such as CH3NH3PbI3, typically fabricated using solution-based methods like spin, blade or slot-die coating, have shown high efficiencies. Rigid perovskite solar cells have reached 19.91 %, while flexible devices have achieved 17.4 % [151]. DSSCs, based on solution-based dye adsorption, have achieved an efficiency of 14.96 % [152]. Nanostructured oxides such as hydrothermally synthesized ZnO nanorods have been used in DSSCs, achieving efficiencies of around 2.08 % [19]. Graphene-TiO2 quantum dot composites, produced using electrochemical growth and applied in perovskite solar cells, improve charge separation and help achieve efficiencies of about 15.1 % [18].

PV-NG hybrid cells are generally classified into rigid and flexible types, depending on their application. Rigid HCs are primarily designed for large-scale and stationary applications like traditional silicon-based solar panel systems. In these systems, the solar cell functions as the main energy source, while the nanogenerator adds extra energy to improve the total output. In contrast, flexible HCs prioritize portability, adaptability and ambient energy harvesting. These systems are often used to power small, portable devices like IoT nodes and sensors, allowing them to work independently without external power [153], 154]. Nano-engineered antireflective coatings can enhance photovoltaic efficiency but do not constitute photovoltaic nanogenerators because the nano layers remain optically passive [155].

Based on this classification, hybrid cells using amorphous silicon (α-Si) and other thin-film solar technologies are typically flexible, and those based on monocrystalline or polycrystalline silicon are considered rigid. Fiber-based dye-sensitized solar cells (FDSSCs) and polymer-based bulk heterojunction solar cells are also classified as flexible devices. Table 6 provides an overview of diverse solar cell materials in recent studies, their synthesis approaches, device fabrication techniques, characterization methods, and performance metrics.

Table 6:

Summary of various photovoltaic generator materials.

Material Type Synthesis techniques Production methods Characterization methods Performance summary Ref.
Monocrystalline silicon with blended TiO2–Al2O3 coating Crystalline silicon photovoltaic cell with dielectric ARC Powder preparation, mechanical grinding, palletization RF sputtering, masking with GI sheet, pre-sputtering treatment XRD, HR-TEM, AFM, UV–vis-NIR spectroscopy, Four-probe method, Van der Pauw technique, I–V measurements, IR thermal imaging I3 solar cell demonstrated high power conversion efficiency of 19.42 % and 20.16 % [149]
Amorphous silicon (a-Si) Thin-film semiconductor Plasma-enhanced CVD (PECVD) Layer deposition Fourier transform photocurrent spectroscopy (FTPS), infrared absorption measurement Efficiencies of 10.22 % for single junction and 12.69 % for a-Si: H/hydrogenated microcrystalline silicon (lc-Si:H) tandem solar cells [150]
Perovskite (CH3NH3PbI3) Hybrid organic-inorganic perovskite Solution processing, precursor formulation Spin coating, blade coating, slot-die coating, thermal evaporation XRD, SEM, PL, TRPL, H NMR, UV–vis spectroscopy, solar simulator (Newport Oriel), EQE (Sciencetech PTS-1-SR) Efficiency of 19.91 % for rigid and 17.4 % for flexible PSCs [151]
Dye-Sensitized Solar Cell Sensitized wide bandgap Doctor blading, calcination, dye sensitization, electrolyte preparation. Pt-sputtered bifacial counter electrode + two identical TiO2 photoanodes, thermoplastic sealing, electrolyte injection, homo-tandem bifacial DSSC assembly. J–V under AM 1.5G and indoor LED, UV–vis absorbance, irradiance/lux mapping, bifacial and vertical performance analysis. Efficiency: 14.96 % [152]
ZnO Nanorods Nanostructured oxide Hydrothermal synthesis Precursor solution mixing, autoclaving and oven drying; paste formulation and DSSC assembly SEM, XRD, J-V analysis, electrochemical impedance spectroscopy (EIS) Efficiency: 2.08 % [19]
Graphene–TiO2 quantum dots Composite in perovskite solar cells Quantum dots nanocomposite Electrochemical process One-step spin-coating, sequential deposition SEM, XRD, UV-Vis, steady-state and time-resolved photoluminescence (TRPL), J-V curves, electrochemical impedance spectroscopy (EIS) Efficiency: 15.1 % [18]

2.7 Hybrid nanogenerators

Hybrid nanogenerators (HNGs) combine different energy harvesting mechanisms into one microsystem. They can generate electricity from multiple sources, either separately or at the same time [41]. Nanogenerators have improved in energy conversion efficiency and power density, but still struggle to provide continuous and sufficient energy for electronic devices. To overcome these challenges, HNGs have been developed by combining two or more energy harvesting mechanisms within a single system. This captures different types of ambient energy simultaneously and enhances the overall energy output. In recent years, substantial research has been devoted to optimize the design and materials of HNGs to maximize their performance for various energy harvesting applications [143]. HNGs achieve performance improvements not just by combining multiple energy harvesting mechanisms, but through coupling effects that create complementary energy pathways.

Piezo-triboelectric HNGs have been developed using PDMS combined with graphene quantum dot (GQD) and PVDF with titanium dioxide (TiO2) nanoparticles via spin coating, demonstrating combined outputs (V OC = 14.3 V; I SC = 5.1 μA for piezo and V OC = 105 V; I SC = 18.1 μA for tribo) [156]. In PENG-TENG hybrids, mechanical deformation creates electrical charges through the piezoelectric effect. At the same time, contact and separation between surfaces generate charges by the triboelectric effect. When these two processes work together, the charge density increases, leading to higher voltage and more stable output under irregular motion. In another example, piezo-pyroelectric HNG with flexible Pb(Zr0.52Ti0.48)O3 (PZT) films fabricated through spin coating achieved a piezoelectric coefficient of 140 pC/N and pyroelectric coefficient 50 nC/cm2 K [157]. In pyro-piezo hybrid systems, temperature changes alter the pyroelectric polarization and reduce internal charge screening. This makes it easier for mechanical stress to switch piezoelectric domains and improves the electrical output. Research also extends to triboelectric-electromagnetic HNGs, which have successfully integrated components like carbonized cotton-derived graphite-like textile through multilayer mold casting to produce outputs from both mechanisms (e.g., 186.5 V from triboelectricity and ±9 V from EM waste) [158]. Thermo-tribo hybrids benefit from enhanced surface charge retention, as elevated temperature can increase polymer segment mobility and thus triboelectric charge transfer. More complex, multi-modal systems like piezo-tribo-pyroelectric HNGs are developed using materials such as reduced graphene oxide (rGO) on PVDF fibers via electrospinning, producing promising outputs [159]. In another study, Pyro-Piezoelectric HNG was developed using titanium carbide-MXene electrodes with NiSnO3/FeSnO3-PVA-KOH gel electrolytes from recycled plastic, achieving V OC = 700 mV from combined force, bending, and heat, alongside high energy density [17]. Furthermore, PV-Triboelectric HNGs with CsPbBr3 perovskite doped with CaF2 and PDMS/MWCNTs on flexible substrates were fabricated using spin-coating, reaching I SC = 9.7 µA [160].

However, synergistic gains are accompanied by internal losses, such as impedance mismatch between high-voltage/low-current TENGs and low-voltage/higher-current PENGs, which causes charge leakage or inefficient rectification. Simultaneous operation of multiple units may introduce parasitic capacitances, and material interfaces may suffer from polarization cancellation or dielectric heating. Therefore, effective HNG design requires impedance matching, optimized multilayer architectures, and diode/capacitor-based stage management to minimize internal losses while leveraging complementary frequency responses and charge generation mechanisms [161]. HNGs include a wide array of material and structural combinations tailored for multi-modal energy harvesting. Numerous other hybrid configurations integrating combinations such as piezoelectric-electromagnetic, triboelectric-thermoelectric, or photoelectric-pyroelectric mechanisms are also being actively explored and reported in recent literature [9], 143], 145]. Table 7 provides a comparative overview of hybrid nanogenerators explored in recent studies.

Table 7:

Summary of various hybrid nanogenerators.

Hybrid type Materials combined Synthesis techniques Production methods Characterization methods Performance summary Ref.
Piezo-triboelectric PDMS:GQD (triboelectric) + PVDF:TiO2 (piezoelectric) Solution mixing Spin coating, thermal curing, vacuum sintering SEM, XRD, FTIR, dielectric spectroscopy, oscilloscope Piezo: V OC = 14.3 V; I SC = 5.1 μA; Tribo: V OC = 105 V; I SC = 18.1 μA [156]
Piezo-pyroelectric Flexible Pb(Zr0.52Ti0.48)O3 (PZT) film Solution-based precursor processing Spin coating, annealing XRD, FE-SEM, micro-Raman, ferroelectric testing, d33 m, pyroelectric current measurement Piezoelectric (140 pC/N) and pyroelectric (50 nC/cm2K) coefficients [157]
Triboelectric–electromagnetic Carbonized cotton–derived graphite-like textile (GT), graphite powder (GP), silicone rubber (SR) Carbonisation, grinding, thermal curing Multi layer mold casting SEM, EDS, Raman, XPS, TEM, electrostatic voltmeter, oscilloscope, force sensor Outputs 186.5 V (triboelectricity) and ±9 V (EM waste) [158]
Piezo-eribo-pyroelectric Reduced graphene oxide (rGO) on polyvinylidene fluoride (PVDF) fibers Solution mixing, electrospinning Electrospun composite fiber mat SEM, FTIR, DSC, XRD, d33 m, PFM, KPFM, SThM Triboelectric power density of 3.37 ± 0.72 mW cm−2; piezoelectric response (d33 ≈ 16.9 pC N−1); pyroelectric current (∼33 nA) [159]
Pyro–piezoelectric Titanium carbide–MXene (TiC–Ti3C2O2) electrodes and NiSnO3/FeSnO3–PVA–KOH pyro-piezoelectric gel electrolytes (from recycled plastic One-step calcination of PET plastic, and gel electrolyte by solution blending and drying Drop-casting, symmetric assembly using solid-state electrolytes FESEM, EDS, XRD, XPS, FTIR, BET, AFM, PFM, CV, GCD, EIS, Ragone plot, self-charging voltage under force, bending, heat Open-circuit voltage up to 700 mV (force/bending/heat), specific capacitance 556 F g−1 (device), energy density 111.11 Wh kg−1 at 4 kW kg−1, cyclic stability 93 % after 10,000 GCD cycles [17]
PV–triboelectric CsPbBr3 perovskite doped with CaF2 (fluoride-doped all-inorganic perovskite) with PDMS/MWCNTs as an electronegative layer Spin-coating multi-step layer deposition, blade coating Flexible substrate fabrication using ITO/PET, followed by doping-controlled perovskite layer formation SEM, EDS, XRD, XPS, PL, UV–vis spectroscopy, dielectric constant measurement, I–V output testing, load resistance and area-dependence analysis Peak short-circuit current 9.7 μA, open-circuit voltage up to 13.58 V, maximum power density 8.45 mW m−2; capable of powering 50 LEDs and charging capacitors [160]

3 Cutting-edge materials for advanced nanogenerators

3.1 Functional 2D materials and nanocomposites

MXenes are a family of two-dimensional transition-metal carbides and nitrides (Mn+1XnTx). It was first introduced as highly conductive 2D materials with tunable surface chemistry. Now MXenes are studied extensively for their use in energy storage and energy harvesting technologies [162]. They are synthesized by selectively etching “A” layers (e.g., aluminium) from MAX phases; these materials combine metallic conductivity (∼20,000 S/cm) with exceptional mechanical resilience (Young’s modulus ∼502 GPa) and surface functionality. Their noncentrosymmetric atomic arrangement, particularly in oxygen-terminated variants, facilitates intrinsic piezoelectricity. MXenes are ideal triboelectric layers, and their electron-withdrawing capacity is better than polymers like PTFE. MXenes do not need extra conductive coatings. Their natural electrical conductivity allows charges to move easily, reducing energy loss during charge transfer. The nanoscale gaps between MXene flakes enhance pressure-responsive behaviour and enable precise mechanical sensing and durability in dynamic environments [163]. MXenes are used in applications ranging from wearable textiles to large-scale environmental energy harvesters. TENGs enhanced with MXenes demonstrate 50 % higher output than standard designs, capturing energy from the ambient sources like wind, raindrops, and biomechanical motion.

Main challenges of energy harvesters based on MXenes are synthesis scalability and environmental stability. Their production often involves hazardous etchants such as hydrofluoric acid, which further complicates its large scale adoption [164]. Susceptibility to oxidation in humid conditions degrades its performance over time. Spin coating and filtration fabrication methods can be used to make them cost-effective and to achieve uniform layering. For instance, spray-deposited MXene films suit large area applications but lack precise thickness control, and chemical crosslinking, though rapid, risks material instability. Mechanical adaptability for wearable systems can be enhanced using innovations such as solvent-free spinning and modular fiber designs. Advanced methods like 3D printing can create complex structures, but they are often limited by slow production speeds and high costs. MXenes are integrated into breathable fabrics or corrosion-resistant coatings. Research focuses on hybrid composites (e.g., MXene-polymer blends) and surface engineering to overcome these limitations, paving the way for self-powered devices with high energy density, flexibility, and environmental resilience [165], [166], [167], [168]. Figure 9(a) shows a clear increase in research on MXene-based nanogenerators. Most studies focus on TENGs and PENGs. The rising number of publications and citations highlights the growing interest in using MXenes for mechanical energy harvesting.

Figure 9: 
Functional 2D materials and nanocomposites for energy harvesting applications. (a) Recent advancements in Mxene-based mechanical energy harvesters, highlighting publication trends and key developments in triboelectric (TENGs), piezoelectric (PENGs), and overall Mxene nanogenerator research (adapted from Ref [169] copyrights© 2024, Elsevier Ltd.). (b) Overview of printable graphene-based materials (adapted from Ref [170] copyrights© 2024, Elsevier B.V.). (c) Schematic structure of a quantum dot-sensitized solar cell (adapted from Ref [171] copyrights© 2025, Elsevier Ltd.).
Figure 9:

Functional 2D materials and nanocomposites for energy harvesting applications. (a) Recent advancements in Mxene-based mechanical energy harvesters, highlighting publication trends and key developments in triboelectric (TENGs), piezoelectric (PENGs), and overall Mxene nanogenerator research (adapted from Ref [169] copyrights© 2024, Elsevier Ltd.). (b) Overview of printable graphene-based materials (adapted from Ref [170] copyrights© 2024, Elsevier B.V.). (c) Schematic structure of a quantum dot-sensitized solar cell (adapted from Ref [171] copyrights© 2025, Elsevier Ltd.).

Despite their high conductivity and tunable dielectric properties, MXenes face long-term stability challenges in nanogenerator applications. Their high surface activity enables strong triboelectric and piezoelectric coupling but makes them prone to oxidation in humid or oxygen-rich environments. This decreases conductivity, weakens surface charge retention and reduces overall output performance [172]. The synthesis process also raises sustainability concerns, particularly when HF or other corrosive etchants are used, creating challenges for large-scale and environmentally safe production [173]. The biocompatibility and potential cytotoxicity of delaminated MXene flakes must also be considered when developing wearable or biomedical nanogenerators. To slow degradation and to enhance long term reliability, recent studies emphasize surface passivation, antioxidant coatings, hybrid polymer MXene composites, and encapsulation strategies [174]. MXene-based nanogenerators require careful materials engineering to ensure stability, safety, and environmental resilience over extended operational lifetimes.

Graphene-based aerogels show strong potential for energy storage systems. They are synthesized using advanced 3D printing methods. Aerogels have hierarchical pores, high electrical conductivity, and good mechanical strength. Techniques such as direct ink writing (DIW) allow precise control of their structure and improve ion transport and charge storage in supercapacitors. For example, 3D-printed graphene micro lattices with integrated pseudocapacitive materials achieve high areal capacitance and rapid charge-discharge rates, while composite aerogels incorporating metals or conductive polymers enhance energy density and cycling stability [175]. Layered graphene architectures and nitrogen-doped frameworks further improve electrochemical performance and offer scalable solutions for next-generation energy storage technologies.

Aerogels are not widely used because they are expensive to produce and difficult to scale up. Current research focuses on improving their flow behavior and post-processing while maintaining structural stability and performance. Hybrid approaches combining graphene with MXenes or magnetic nanomaterials demonstrate enhanced electromagnetic shielding and catalytic efficiency. Future advances in additive manufacturing aim to improve printing resolution and material compatibility. This will enable multifunctional aerogels for flexible electronics and grid-scale energy storage, supporting more sustainable renewable energy systems. [176], [177], [178], [179]. As shown in Figure 9(b), printable graphene-based materials have excellent mechanical properties and can be fabricated using 3D printing methods such as DIW and Digital Light Processing (DLP). These techniques enable their use in energy storage, sensing, and catalytic applications.

Quantum dots (QDs) have revolutionized nanotechnology since their Nobel Prize-winning discovery. QDs give control over optoelectronic properties through quantum confinement. There are challenges such as toxicity (e.g., cadmium-based QDs), environmental instability and high production costs that limit its widespread adoption [180], 181]. Research focuses on non-toxic alternatives like InP, silicon, and perovskite QDs and also on scalable synthesis techniques such as colloidal synthesis [182], hot injection [183], and sol-gel methods [184]. Surface passivation and hybrid nanostructures are used to improve stability and increase durability for real-world applications. As shown in Figure 9(c), quantum dot-sensitized solar cells (QDSSCs) utilize a multilayer structure where quantum dots are deposited onto a TiO2 scaffold to absorb sunlight and transfer photoinduced electrons through a buffer and electrode system. Efforts to integrate machine learning and eco-friendly fabrication processes further underscore the push toward sustainable, high-performance QD technologies.

In energy harvesting, quantum dots can improve solar technology by allowing tunable bandgaps and multi-exciton generation, which may enable efficiencies beyond traditional silicon solar cells. Beyond photovoltaics, hybrid QD-metal systems have also shown enhanced photocatalytic performance under visible light, supporting applications in solar-driven chemical reactions and environmental remediation [185]. QDs are increasingly explored in electrochemical energy systems, where their nanoscale dimensions and surface tunability can improve ion transport, interfacial stability, and charge storage behaviour.

Metal halide perovskites have emerged as high-performance active layers due to their strong polarization, defect-tunable dielectric properties, and ease of film formation. Their limitations are instability under humidity, UV exposure, and elevated temperatures and undergoing phase transitions or ionic migration that degrade output performance over time [186]. Lead-based perovskites also raise toxicity concerns due to possible Pb2+ leaching, particularly in wearable or environmental applications [187]. While lead-free perovskites (e.g., tin or bismuth-based) show promise, they remain prone to oxidation and moisture-driven degradation [188].

3.2 Eco-friendly and bio-derived materials

Green macroalgae are sustainable biomass materials that can be converted into nitrogen-doped porous carbon for energy storage using carbonization and chemical activation. Such structures serve as high surface area hosts for lithium sulfur batteries, delivering initial discharge capacities as high as 1,617 mAh g−1 [189]. Their biomass is converted into porous carbon materials using pyrolysis and activation.

These materials are used as efficient electrodes in energy storage devices. Algae-derived chlorophyll and xanthophyll pigments are used as natural dyes in dye-sensitized solar cells. Using them together improves the cell’s photovoltaic performance [190]. Cell-free biohybrid systems made from self-organised photosystem I nanoparticles, combined with electron mediators and metal catalysts, can produce hydrogen using light. These systems have shown efficient hydrogen generation of about 5.5 µmol H2 h−1 mg−1 chlorophyll and remain stable during long-term operation [191]. Microbial fuel cells (MFCs) utilize algae for oxygen supply and organic waste degradation, generating power densities up to 1,926 mW/m2 while sequestering CO2 [192]. Green algae show strong potential for energy storage, energy conversion and biofuel applications. Their main limitations are efficiency, scalability, and cost.

Chitosan is a biodegradable polymer from crustacean shells that is used in TENGs for wearable electronics. Modified chitosan composites increase triboelectric output and flexibility, making them suitable for self-powered sensors [193], [194], [195]. Similarly, cellulose-based materials from algae or plants are used to make flexible separators for lithium-ion batteries. These separators offer good thermal stability and ionic conductivity similar to commercial products. Innovative composites like chitosan-silk fibroin and cellulose-nanoparticle hybrids show how sustainability can be combined with good performance. For example, tea-leaf-reinforced polystyrene composites in TENGs achieve power densities of 61.25 W/m2, demonstrating durability over 110 days [196].

Biodegradable tribo and piezo materials such as cellulose, chitosan, starch, PLA and other biopolymers offer low toxicity and excellent environmental compatibility. Their long-term reliability is limited by moisture absorption, hydrolysis, and microbial degradation. This leads to softening of the material, lower surface charge density and weaker mechanical strength. Many biodegradable materials also exhibit lower dielectric constants and reduced fatigue resistance under repeated mechanical cycling [197], [198], [199]. These materials are suitable for transient or implantable devices, but their durability needs improvement. Techniques such as crosslinking, hydrophobic coatings, or adding stable fillers can help ensure reliable long-term performance.

3.3 Recycled and waste materials

Recent advances have demonstrated that biodegradable and waste-derived materials can function as highly effective triboelectric layers. Agricultural residues and biomass-based films, such as radish leaf, banana leaf, nopal powder, and corn husk, have suitable surface roughness, natural functional groups, and good electron-donating properties. This makes them suitable as tribopositive layers for contact electrification. For instance, radish leaf-based TENG fabricated from recycled and waste materials has been demonstrated as a stable, low-cost self-powered system capable of converting finger motions into electrical signals for wireless IoT-enabled communication applications [200]. Similarly, banana leaf and EVA foam-based triboelectric devices demonstrate stable performance under mechanical vibration, with the EVA foam providing a porous tribonegative interface and the banana leaf contributing a textured biopolymeric surface, together supporting sustained power generation for smart home security systems [201].

Waste-based materials have also emerged as effective alternatives to synthetic polymers. Spent coffee grounds have been employed as biodegradable triboelectric layers in TENGs, achieving a peak output power density of 75.48 mW m−2 with stable operation over tens of thousands of cycles. These coffee-based nanogenerators have been demonstrated as power sources for thermohygrometers, digital timers, LED arrays, and emergency alarm systems, highlighting the potential of food waste for sustainable energy harvesting [202]. Studies have also reported fully degradable negative triboelectric layers by co-processing coffee grounds with polycaprolactone, achieving 67–127 % of the triboelectric charge density of PTFE-based systems while enabling fully biodegradable and enclosed TENG architectures [203].

Agricultural waste can also be combined with recycled plastics to enhance circular economy benefits. Elvira Hernández et al. [204] have demonstrated that waste corn husk paired with recycled polystyrene forms a high-performance triboelectric pair capable of delivering 670.5 mW/m2 and powering 472 LEDs, as well as small electronic devices. The lignocellulosic microstructure of the corn husk, featuring micron-scale protrusions and roughness, promotes high charge transfer, while the recycled polystyrene provides mechanical stability and strong electron-accepting behavior. A similar design strategy is observed in banana leaf and EVA foam-based systems, where natural polymers are aligned with recycled synthetics to maximize durability, charge polarization, and environmental adaptability.

4 Advanced nanogenerator architectures and applications

4.1 Flexible and stretchable devices

Recent advancements in flexible and stretchable nanogenerators have revolutionized healthcare technologies and the Internet of Things (IoT) by enabling self-powered, wearable, and implantable systems [205], [206], [207]. The study emphasizes the use of TENGs and PENGs mixed with elastomeric dielectrics such as polydimethylsiloxane (PDMS), Ecoflex, and thermoplastic polyurethane (TPU). These materials are engineered for enhancing mechanical adaptability. For example, Cu2+ polyurethane elastomers made with polycaprolactone segments show high flexibility, self-healing ability and stable electrical output even during degradation. This makes them suitable for on-skin and implantable energy harvesting and sensing applications [208]. In a study, a novel stretchable TENG was developed using nitrogen-doped graphene sheets covalently bonded with nickel-based metal organic polyhedra (NG@MOP), enhancing mechanical durability and conductivity [209]. When embedded in a polyurethane matrix, the NG@MOP composite film with 5 wt% content can stretch up to 500 % and produce a high output of 417 V and 10.8 µA. This combination makes it well-suited for wearable electronic skin applications. The device also showed high strain sensitivity and could reliably detect subtle body movements, highlighting its potential for real-time motion tracking and health monitoring.

For PENGs, piezoelectric composites like lead-free perovskite Cs3Bi2Br9 embedded in PVDF-HFP and SEBS matrices achieve high mechanoelectrical conversion (400 V output) while maintaining flexibility [188]. Structural design improvements, such as using droplet-shaped ceramic fillers inside elastomers, help reduce stress buildup. This allows the device to maintain stable performance even after 5,000 stretching cycles at 60 % strain [210]. These designs are important for harvesting energy from biomechanical motions, such as joint movement and breathing, to power wearable sensors and implantable devices. Many flexible TENG and PENG-based wearables are already used as sensing nodes in healthcare IoT networks. For example, Munirathinam and Chandrasekhar [211] developed a self-powered SGAS-TENG wrist-wear device that integrates directly with an ESP8266 Wi-Fi module and the Blynk IoT platform for real-time wireless alerts. Recent bibliometric analyses highlight the growing role of nanogenerators as power sources for wearable healthcare IoT systems. A 2025 bibliometric study by Suryani et al. [212] analyzed 1,575 NG-related publications and identified TENG and PENG-based harvesters integrated at the wrist, fingers, chest, and feet as the dominant configurations reported for continuous physiological monitoring. Nanogenerator-based intelligent interfaces are also rapidly emerging, such as the electret nanofiber triboelectric sensor for noncontact 3D gesture recognition in VR systems [213].

Practical applications span diagnostics, therapeutics, and wireless telemedicine. Implantable NGs, such as bioresorbable triboelectric sensors (BTS) made from poly (lactic acid)-chitosan, detect vascular occlusions by monitoring pressure changes [214], while ultrathin PZT membranes on wrists enable noninvasive blood pressure monitoring. Self-powered therapies include TENG-based cardiac pacemakers that treat arrhythmias using heart motion and electrogenerative dressings that accelerate wound healing via endogenous electric field modulation. Wireless communication modules powered by NGs transmit physiological data (e.g., ECG signals) to smartphones, exemplified by a chest-mounted TENG transmitting a 71 BPM heart rate. Figure 10 provides a summary of recent wearable nanogenerator systems and sensors developed for human motion monitoring and rehabilitation applications. Challenges persist in biocompatibility, signal noise reduction, and scalable fabrication. Future efforts should focus on advanced encapsulation and AI-based analytics to enable clinical and IoT-ready nanogenerator systems for personalized healthcare and telemedicine.

Figure 10: 
Flexible and stretchable devices for self-powered sensing and motion monitoring. (a) Schematic of the Rehab-TENG used for playing a motivational game to aid recovery (adapted from Ref [215] copyrights© 2020, Elsevier Ltd). (b) Schematic structure of the BSRW-TENG and SEM images of the interlayer structure between the triboelectric layer, the Au electrode, and the PDMS protection layer (adapted from Ref [216] copyrights© 2022, Elsevier Ltd). (c) Photo of the BSRW-TENG attached to the knee joint for leg curl monitoring. Leg curl monitoring results before and after sweating (adapted from Ref [216] copyrights© 2022, Elsevier Ltd). (d) The application of tactile hydrogel sensors to detect human motion (adapted from Ref [217] copyrights© 2022 The authors. Advanced science published by Wiley-VCH GmbH. (e). Working principle and the electrical output under different stretching strain of the HFSSs. (a) Structural illustrations of the HFSSs at different states: (i) Side view without deformation; (ii) detached windings under tension; (iii) stretched to maximum. (b) Working principle of the HFSSs; the states i, ii, and iii correspond to i, ii, and iii of (a). (c) Simulation results of the electric potential model using the COMSOL software. (Adapted from Ref [218] copyrights© 2022, American Chemical Society).
Figure 10:

Flexible and stretchable devices for self-powered sensing and motion monitoring. (a) Schematic of the Rehab-TENG used for playing a motivational game to aid recovery (adapted from Ref [215] copyrights© 2020, Elsevier Ltd). (b) Schematic structure of the BSRW-TENG and SEM images of the interlayer structure between the triboelectric layer, the Au electrode, and the PDMS protection layer (adapted from Ref [216] copyrights© 2022, Elsevier Ltd). (c) Photo of the BSRW-TENG attached to the knee joint for leg curl monitoring. Leg curl monitoring results before and after sweating (adapted from Ref [216] copyrights© 2022, Elsevier Ltd). (d) The application of tactile hydrogel sensors to detect human motion (adapted from Ref [217] copyrights© 2022 The authors. Advanced science published by Wiley-VCH GmbH. (e). Working principle and the electrical output under different stretching strain of the HFSSs. (a) Structural illustrations of the HFSSs at different states: (i) Side view without deformation; (ii) detached windings under tension; (iii) stretched to maximum. (b) Working principle of the HFSSs; the states i, ii, and iii correspond to i, ii, and iii of (a). (c) Simulation results of the electric potential model using the COMSOL software. (Adapted from Ref [218] copyrights© 2022, American Chemical Society).

4.2 Implantable and transient systems

Implantable medical electronic devices (IMEs) are increasingly used to support organ function, monitor health, and deliver therapy inside the body. Recently, natural body motions such as breathing, heartbeat, and muscle activity have attracted attention as potential energy sources for harvesting. PENGs are used because they are compact and avoid bulky designs. They can be made ultra-thin, lightweight, flexible, and able to conform to curved body surfaces. Degradable piezoelectric biomaterials are increasingly used in transient IMEs because they are biocompatible and can generate their own power [219]. Medical applications include energy harvesting, sensing, and treatments. Yang et al. [220] demonstrated a wafer-scale heterostructured piezoelectric bio-organic thin film in which γ-glycine crystals self-assemble and align between poly (vinyl alcohol) (PVA) layers, yielding biodegradable, water-stable films with a macroscopic piezoelectric response (d33 ≈ 5.3 pC/ N) suitable for transient implantable electromechanical devices. Das et al. [221] reported biodegradable piezoelectric PLLA nanofiber scaffolds activated by ultrasound. The generated electrical stimulation enhanced osteogenesis in vitro. Bone formation was observed in mouse calvarial defects.

Challenges persist in optimizing degradable piezoelectric biomaterials for clinical use. A critical issue is the modulus mismatch between rigid small-molecule crystals (e.g., β-glycine at gigapascal scales) and soft tissues (e.g., skin at kilopascal levels). This shows the importance of hybrid designs like glycine-PCL composites (d33 = 19 pC/N) [222]. Additionally, their longitudinal piezoelectric performance is generally lower than that of inorganic materials such as PZT. Many biomaterials show shear piezoelectric effects (for example, FF nanotubes with d13 ≈ 60 pm V−1), which makes device design and integration more challenging. Balancing high crystallinity for strong piezoelectric performance with amorphous regions for mechanical flexibility makes material design more challenging. Degradation kinetics also pose stability concerns. For example, β-glycine transitions to non-piezoelectric phases in air, while PLLA’s slow hydrolysis requires enzymatic acceleration. Future work will focus on improving dipole alignment using electric field polarization to boost performance. These materials are also being studied for tumor therapy, where degradable systems may enable targeted drug delivery or piezoelectric-induced cell death, extending their use beyond regenerative and diagnostic applications. Figure 11 shows an overview of recent implantable nanogenerator technologies for biomedical applications, including cardiac monitoring, neural stimulation, and hearing enhancement.

Figure 11: 
 Implantable and transient systems for biomedical energy harvesting and stimulation. (a) Macroscopic images of a T2ENG located in the subdermal Dorsal region ((i) Sutured; (ii) opened) demonstration of a Sprague-Dawley mouse (adapted from Ref [2] copyrights© 2018, WILEY-VCH Verlag GmbH & Co. KGaA). (b) Advanced piezo array for retinal stimulation (F-URSP) (adapted from Ref [223] copyrights© 2022. (c) An implantable middle ear hearing device with a piezoelectric transducer attached to the Incus body (adapted from Ref [224] copyrights© 2019, MDPI).
Figure 11:

Implantable and transient systems for biomedical energy harvesting and stimulation. (a) Macroscopic images of a T2ENG located in the subdermal Dorsal region ((i) Sutured; (ii) opened) demonstration of a Sprague-Dawley mouse (adapted from Ref [2] copyrights© 2018, WILEY-VCH Verlag GmbH & Co. KGaA). (b) Advanced piezo array for retinal stimulation (F-URSP) (adapted from Ref [223] copyrights© 2022. (c) An implantable middle ear hearing device with a piezoelectric transducer attached to the Incus body (adapted from Ref [224] copyrights© 2019, MDPI).

4.3 Large-scale integration and industrial applications

Recent advances in TENG technology have demonstrated remarkable progress in large-scale integration across diverse applications. A dual-functional TENG/photocatalytic system was developed by integrating cobalt coordination polymers (Co-CP) into cellulose acetate (CA) films, where the 12 % Co-CP@CA composite achieved optimal power output [225]. Scalable TENG floors were constructed using these composites to harvest human walking energy, powering blue LEDs for self-driven photocatalytic oxidation reactions. This work demonstrates the feasibility of large-scale, bifunctional energy harvesting flooring systems that simultaneously capture mechanical energy and enable photocatalytic applications. Beyond conventional indoor IoT applications, nanogenerators are now playing a central role in next-generation smart agriculture systems by enabling fully self-powered, maintenance-free sensor networks. Wang et al. [226] developed a hybrid wind-solar energy harvesting device (HEHD) that integrates triboelectric generators, electromagnetic generators, and photovoltaic cells into a single platform, achieving simultaneous harvesting of wind and sunlight for powering distributed temperature-humidity sensors and NB-IoT-based farm security systems. Complementing these hybrid harvesters, Lan et al. [227] introduced a breathable, waterproof TENG (WB-TENG) made from PVDF-HFP nanofibers embedded with fluorinated CNT microspheres, capable of conformally attaching to plant leaves without disturbing physiological activity. This device efficiently scavenges energy from wind and raindrops and can continuously power wireless plant health monitoring nodes. Together, these advances show that nanogenerators can power battery-free IoT systems in agriculture. They enable continuous operation of sensors for precision irrigation, local climate monitoring and early detection of plant stress without relying on conventional batteries. Building on this concept of scalable energy harvesting, researchers have extended TENG technology to marine environments. The One Meter TENG (OM-TENG) overcomes the limitations of conventional TENGs in marine environments by employing a meter-scale lantern structure with stacked silicon-manganese steel sheets, achieving enhanced charge transfer (60.82 µC/cycle) and optimized internal space utilization [228]. Its segmented design allows multiple TENG units to work together in sync. As a result, it delivers strong wave energy harvesting performance (584 V, 444 µA) and remains stable under real-world operating conditions. This scalable design can reliably power high-wattage LED arrays and wireless systems. It represents a major step forward for large-scale blue energy harvesting technologies.

A scalable woven TENG textile was created using core-shell yarns made of wool/polyester with copper electrodes. The multilayer single-electrode/contact-separation design produced 18.5 V and 3.7 µA and a power density of 51 mW/m2. The structure improves durability, washability and sensitivity to motion while remaining comfortable to wear. It is also compatible with standard industrial textile manufacturing methods [229]. This approach bridges laboratory-scale TENGs and commercial smart garments, enabling applications such as athletic monitoring while allowing seamless integration into everyday clothing. NG-powered nodes are used in smart city infrastructures for structural health monitoring, traffic flow detection, water leakage sensing and environmental pollution tracking. These autonomous sensor units harvest energy from ambient vibrations, footsteps and wind, enabling maintenance-free deployment across bridges, tunnels and urban walkways [230]. Figure 12 demonstrates examples of advanced TENG architectures for chemical catalysis, large-scale blue energy harvesting, and motion-based power generation.

Figure 12: 
Large-scale integration and industrial applications. (a) The oxidation of sulphides driven by Quadruple-M−TENG device (adapted from Ref [225] copyrights© 2024, Elsevier B.V.), (b) Schematics of working principle and structure of WPc-PWc TENG, working mechanism and elements of WPc-PWc TENG under tapping motion (adapted from Ref [229] copyrights© 2024, Sage Publications).
Figure 12:

Large-scale integration and industrial applications. (a) The oxidation of sulphides driven by Quadruple-M−TENG device (adapted from Ref [225] copyrights© 2024, Elsevier B.V.), (b) Schematics of working principle and structure of WPc-PWc TENG, working mechanism and elements of WPc-PWc TENG under tapping motion (adapted from Ref [229] copyrights© 2024, Sage Publications).

4.4 Robotics and autonomous systems

Energy harvesting technologies are actively studied for application in autonomous robotic systems. For example, solar energy harvesting is used in unmanned aerial vehicles (UAVs), where weight, endurance and environmental adaptability remain critical constraints. AtlantikSolar and RoboRaven 3 are examples of real-world implementations showcasing ultra-light, high-efficiency photovoltaic integration for long-duration flight [231], 232]. For drones, flexible perovskite and organic solar cells are promising because they are lightweight and can easily conform to curved surfaces. Solar power is not always available, so it often needs support from batteries or supercapacitors. Mechanical energy harvesting using piezoelectric and triboelectric materials can help recharge onboard systems during motion. Dynamic soaring concepts offer energy-free propulsion inspired by nature by exploiting atmospheric wind gradients, although they require advanced real-time sensing and control systems [233]. Self-powered sensors enable tactile perception, force feedback, and object recognition in autonomous robotic systems. Hybrid triboelectric-piezoresistive skins, robotic grasp sensors, and neuromorphic droplet-based e-skins have been demonstrated. This supports advanced human-robot interaction and adaptive control in intelligent robotic systems [234].

In the broader context of autonomous mobile robots (AMRs), similar energy harvesting approaches are being tailored to ground-based and soft robotic systems. TENGs with their capacity to scavenge low-frequency mechanical energy have been integrated into robotic skins, smart textiles, and sensory actuator systems [235]. They are useful in wearable robotics and soft actuators as they can act as both energy harvesters and active sensors. Flexible solar cells (e.g., perovskite and fiber-shaped organic cells) and thermoelectric generators harvesting waste heat further support onboard power in robotics. Hybrid systems combined with compact storage technologies such as photo batteries, redox flow systems, or supercapacitors, enhance autonomy, making robots capable of prolonged operation in constrained or remote environments [236].

For drones, energy harvesting can enhance operational autonomy by supplying power to onboard sensors and other low-power electronic components. Recent studies show that piezoelectric transducers can harvest energy from vibrations and airflow when integrated into UAV structures. This helps reduce dependence on onboard batteries [237]. In the future, solar and mechanical energy harvesting can be combined. Lightweight, multifunctional materials will help reduce payload weight. Better power management circuits will improve energy use. Bio-inspired designs, such as wing-based harvesters, can increase energy capture. Together, these advances can enable long-endurance, self-powered UAVs for environmental monitoring and disaster response.

TENGs have made it possible to power autonomous soft robots. For example, a very lightweight flapping-wing micro-aerial robot (160 mg) was able to take off using high voltage dielectric elastomer actuation driven by a TENG [238]. The system integrates an in-plane charge pump TENG (ICP-TENG) comprising PFA (perfluoroalkoxy alkane) and PA (polyamide) triboelectric layers with aluminum electrodes, which delivers 1,640 V and 117 mW peak power. This outperforms conventional designs by 280 % in voltage and 920 % in energy. The MAV’s rolled Elastosil P7670 dielectric elastomer actuator (DEA), embedded with carbon nanotube electrodes, is driven by the TENG via a voltage-doubler circuit, achieving 400 Hz flapping at 1,540 V. Key results include a lift-to-weight ratio of 1.75 and stable operation over 72,000 contact cycles. This highlights the synergy between TENGs and robust soft actuators for resilient microsystems. Figure 13 highlights key advancements in energy harvesting for robotics and drones, including major milestones in solar and mechanical energy harvesting for UAVs, the integration of nanogenerators in robotic systems, and the use of wearable solar cells as conformable power sources for robotic surfaces.

Figure 13: 
Energy harvesting strategies for robotics and autonomous systems. (a) The milestone in solar and mechanical energy harvesting for UAVs (adapted from Ref [239] copyrights© 2023, Elsevier Ltd.). (b) Wearable solar cells for robots. Bendable commercial thin-film solar cells could be the “cloth” or “skin” of a robot. Bendable, stretchable, or wearable PSCs, OSCs, and DSSCs are being further studied, such as I) a bendable PSC (adapted from Ref [236] copyrights© 2022, Wiley-VCH GmbH).
Figure 13:

Energy harvesting strategies for robotics and autonomous systems. (a) The milestone in solar and mechanical energy harvesting for UAVs (adapted from Ref [239] copyrights© 2023, Elsevier Ltd.). (b) Wearable solar cells for robots. Bendable commercial thin-film solar cells could be the “cloth” or “skin” of a robot. Bendable, stretchable, or wearable PSCs, OSCs, and DSSCs are being further studied, such as I) a bendable PSC (adapted from Ref [236] copyrights© 2022, Wiley-VCH GmbH).

While nanogenerators are used in wearables, IoT devices, and soft robotics, several practical challenges remain. Wearable TENG systems face several limitations. As highlighted in studies of skin-contact TENGs, performance is highly sensitive to environmental variability, including humidity, temperature fluctuations, sweat, and mechanical vibrations, all of which can suppress charge density and reduce output stability [240]. Additionally, biocompatibility and long-term skin safety remain critical concerns, since many triboelectric layers and electrodes may cause irritation or degrade under continuous contact. Durability under repeated deformation, including stretching, bending, and torsional loads typical of wearable applications, can induce mechanical fatigue, interfacial delamination, and gradual output degradation. Many devices lack robust encapsulation to protect against moisture, oils, and abrasion, and they do not integrate energy management circuits that are essential for rectifying, stabilizing, storing, and conditioning the irregular AC outputs generated during human motion. Together, these issues illustrate that while wearable nanogenerators show promising sensing and energy harvesting capabilities, substantial engineering improvements are needed before large-scale, long-term, real-world applications [241].

For large-scale IoT integration, nanogenerators still face several practical limitations. First, long-term durability is a major concern. Continuous vibrations, outdoor conditions, and repeated mechanical loading can wear TENG surfaces and cause microcracks in piezoelectric films, which lowers reliability in distributed sensor networks [230]. Second, most TENGs generate high voltages but very low currents with intermittent output, creating a mismatch with the stable, low-voltage power requirements of IoT nodes. This requires compact energy management modules, including rectifiers, impedance matching circuits, and small energy storage units to provide stable power for sensors and wireless transmitters. Third, environmental sustainability is a concern. Many triboelectric polymers are non-degradable, and traditional piezoelectric ceramics may contain toxic elements, leading to waste management challenges. Therefore, eco-friendly materials and long-life encapsulation strategies will be essential for future NG-powered IoT infrastructures. In soft robotics and human-machine interfaces, repeated deformation can induce mechanical fatigue or interfacial failure, making robust packaging and strain-tolerant architectures essential for maintaining sensing accuracy [242]. Solving these challenges requires better material stability, effective encapsulation and improved power management circuits. This is essential to move nanogenerators from laboratory prototypes to reliable real-world systems.

5 Future recommendations and outlook

There are several key challenges in translating nanogenerator technologies from lab-scale prototypes to real-world applications. These must be addressed to improve performance and unlock new opportunities across interdisciplinary fields. The future outlook for nanogenerators can be visualized as a strategic transition from present limitations to innovation-driven opportunities and eventual commercialization, as illustrated in Figure 14.

Figure 14: 
Strategic framework illustrating the transition from current limitations to emerging opportunities and a roadmap for commercialization of nanogenerator technologies.
Figure 14:

Strategic framework illustrating the transition from current limitations to emerging opportunities and a roadmap for commercialization of nanogenerator technologies.

5.1 Current limitations and research priorities

5.1.1 Enhancing energy output and stability

Nanogenerators have high energy conversion efficiency, but their power density is lower. This makes them unsuitable for high-demand applications like medical implants and industrial IoT.

Material innovations: In PENGs, to improve electromechanical response, there is a need for lead-free, high-coupling materials such as doped ZnO and bio-piezoelectric polymers like PVDF-TrFE. In TENGs, there must be strategies to enhance charge density (e.g., micro/nanostructured surfaces, MXene-based composites) and environmental resilience (e.g., hydrophobic coatings, self-healing materials).

Device stability: Long term durability under mechanical fatigue, humidity, and temperature fluctuations must be addressed through advanced encapsulation (e.g., atomic layer deposition and elastomeric coatings).

These limitations directly affect real-world deployment. Low current density prevents TENGs/PENGs from powering wireless transmitters or biomedical devices. This also leads to unstable performance in wearables and outdoor IoT nodes because of charge decay due to humidity and ceramic fatigue. To address these impacts, material-level strategies (high-dielectric nanocomposites, β-phase enhancement) and system-level approaches (robust encapsulation, self-healing interfaces) are required to maintain long term stability under practical operating environments.

5.1.2 Seamless integration and miniaturization

Power management: Developing ultra-low power circuits capable of handling irregular, pulsed outputs like adaptive DC-DC converters and hybrid supercapacitor integration.

Flexible and biocompatible designs: In implantable/wearable systems, there is a need for conformal, stretchable architectures like kirigami-inspired designs and liquid-metal electrodes. There must be a standardized Benchmarking, establishing universal testing protocols for comparative performance evaluation across different nanogenerator types.

Artificial intelligence and digital twin-enabled design: Machine learning and digital twin technologies can help nanogenerator design by enabling data-driven optimization of materials, structural geometries and operating conditions. AI models have been used to predict output voltage, charge density and mechanical durability from composition and fabrication parameters. This reduces trial and error in material selection. Digital twins allow real-time simulation of device behavior under varying strain, humidity, or load profiles. This provides a virtual environment to test reliability and optimize performance before fabrication. Integrating these tools with experimental workflows offers a powerful pathway for rapid prototyping, multi-objective optimisation and intelligent control of hybrid energy harvesting systems.

Power management for nanogenerators: Power management circuits capable of regulating high voltage and low current outputs are required for effective utilization of nanogenerators. Nanogenerators typically produce pulsed and irregular AC signals. Due to this rectification, impedance matching, and energy storage are essential for stable operation. Ultra low power rectifiers, buck-boost converters, and microtransformers are often used to optimize power flow and prevent energy loss during intermittent harvesting. Hybrid storage units such as thin film supercapacitors enable buffering of small harvested charges for continuous powering of IoT nodes. Recent systems also integrate maximum power point tracking and adaptive switching control to improve charging efficiency under variable mechanical stimuli.

In practical systems, impedance mismatch between high voltage/low current NG outputs and low voltage electronics causes severe energy loss. This limits their ability to drive IoT sensors, BLE modules, or implantable stimulators. Irregular pulsed outputs also restrict continuous operation. These challenges can be overcome by adaptive rectifiers, micro transformers, ultra-low-power storage modules and unified testing standards that enable reliable integration across platforms.

5.1.3 Scalable and sustainable manufacturing

Cost-effective fabrication: Transitioning from lab-scale methods (e.g., e-beam lithography) to large-scale techniques (e.g., roll-to-roll printing, 3D/4D printing of functional materials).

Eco-friendly materials: Exploring biodegradable composites (e.g., cellulose nanofibers, silk-based piezoelectrics) for sustainable energy harvesting.

For practical deployment in IoT and smart city environments, the lack of scalable manufacturing and reliance on non-degradable polymers or toxic ceramics (e.g., PZT) pose both economic and environmental barriers. Large area printing, bio-derived tribolayers, and recyclable composites offer actionable pathways to reduce cost, support mass production, and minimize end of life waste.

5.1.4 Reliability under real-world conditions

Reliability under practical environmental conditions remains a critical barrier to large-scale deployment. PENGs are affected by temperature changes, moisture exposure, and repeated mechanical stress. These factors can reduce polarization, increase electrical losses and cause fatigue, especially in brittle ceramic-based devices. TENGs have performance decay in humid environments due to moisture-assisted charge leakage, along with surface wear and dielectric abrasion under repeated contact cycles. Pyroelectric devices undergo polarization fatigue and stress accumulation during thermal cycling. Thermoelectric nanogenerators suffer from interfacial degradation, oxidation of electrodes, and thermal stress mismatch during sustained temperature gradients. EMGs encounter coil insulation breakdown, magnet corrosion, and flux instability at elevated temperatures. These degradation processes make the output less stable and shorten the device lifetime. As a result, their use is limited in wearables, outdoor IoT systems, and biomedical applications. To overcome these challenges, strong encapsulation layers such as hydrophobic coatings or ALD nanofilms are needed. Using fatigue-resistant composites, corrosion-resistant electrodes and thermally matched interfaces also helps maintain long-term reliability and stable performance.

5.2 Emerging opportunities and strategic directions

5.2.1 AI-enabled self-powered IoT networks

Smart sensing: TENG/PENG-based sensors for real-time health monitoring (e.g., pulse, gait analysis) and environmental sensing (e.g., air quality, structural integrity).

Edge computing integration: Combining nanogenerators with energy-efficient AI chips to enable autonomous decision-making in remote/wearable systems.

5.2.2 Nanogenerators for autonomous robotics and UAVs

Hybrid energy harvesting is utilized by self-charging drones to overcome battery limitations. Kinetic energy harvesting employs piezoelectric patches on wings or propellers to convert vibrations and aerodynamic forces into electricity. Materials like ZnO nanowires or PVDF-TrFE films offer high power density (∼5–10 mW/g). Solar-triboelectric hybrids integrate flexible perovskite solar cells (efficiency >25 %) with TENGs to simultaneously capture sunlight and mechanical energy. This enables multi-source power generation during flight. But there are many limitations, including the weight-power tradeoff, where optimizing gravimetric power density (W/g) is essential to avoid payload penalties. Also, the need for dynamic power management circuits to balance intermittent harvesting with stable battery storage. Recent studies have explored AI-driven MPPT strategies and ultra-lightweight MXene-based electrodes as potential solutions to these challenges, with the aim of improving autonomy and flight endurance in drone platforms.

5.2.3 Next-gen biomedical applications

Self-powered implants represent a transformative approach in medical technology. They utilize biodegradable PENGs to power transient cardiac pacemakers and TENGs for motion activated drug delivery. These devices utilise natural biomechanical energy (e.g., heartbeats or muscle movements) to operate without external batteries. The challenges are long-term biocompatibility (e.g., minimizing inflammatory responses) and maintaining stable performance in vivo amid dynamic physiological conditions. Latest materials, such as silk-based PENGs and self-healing TENG coatings, are critical to overcoming these hurdles for clinical adoption.

5.2.4 Hybrid and multi-source energy harvesting

Hybrid nanogenerators achieve broadband energy harvesting by coupling piezo, tribo, and pyroelectric effects in a single device. This enables efficient capture of diverse ambient energy sources such as mechanical vibrations, friction, and thermal fluctuations. To enhance performance and to boost output efficiency, 2D materials (MXenes, graphene) and ionic gels are integrated to optimize interfacial charge transfer. These synergistic approaches enable next-generation energy harvesters with higher power density and adaptability for wearable and IoT applications.

5.3 Roadmap for commercialisation

To accelerate adoption, future efforts should focus on:

Industry partnerships: Must collaborate with electronics manufacturers for embedded nanogenerator solutions.

Regulatory standards: Safety and performance guidelines for medical/consumer applications must be established.

Lifecycle analysis: Assessing environmental impact from production to disposal.

After discussing commercialization potential, it is also important to clearly identify the technical challenges that still limit large-scale deployment of nanogenerators. First, persistent impedance mismatch between the inherently high-voltage/low-current output of NGs, especially TENGs and the low voltage requirements of practical electronics restricts seamless integration. Low-loss impedance-matching circuits, soft magnetic micro transformers, and adaptive power conditioning modules optimized for irregular mechanical inputs can be a solution for this. Second, environmental instability remains a major constraint. Polymer-based TENGs exhibit humidity-induced charge decay, MXenes oxidize rapidly in air, and emerging perovskites degrade under moisture and UV exposure. Advances in encapsulation layers, hydrophobic surface engineering and the development of intrinsically stable, eco-friendly alternatives are required to ensure long-term reliability. Third, the low current density of most NGs limits their ability to drive communication units, sensors, and edge computing elements in IoT systems. Solutions include multilayer stacking, high dielectric nanocomposites, interfacial polarization engineering, and hybridization with piezoelectric or electromagnetic modules to boost charge generation. Addressing these specific challenges through coordinated materials innovation and system-level optimisation is essential for transitioning nanogenerators from laboratory prototypes to robust, commercially viable self-powered technologies.

6 Conclusions

Nanogenerators including piezoelectric, triboelectric, pyroelectric, electromagnetic, and hybrid architectures, enable self-powered electronics by harvesting ambient mechanical, thermal, and environmental energy. This review has summarized recent advancements in materials, device engineering, and system-level integration to provide a comprehensive perspective on the state of the field. Beyond high performance functional materials such as MXenes, doped polymers, and graphene aerogels, emerging sustainable options based on biodegradable and waste-derived resources, including radish leaf, banana leaf, coffee grounds, corn husk, and cellulose-based films, have shown that environmentally friendly nanogenerator platforms can achieve competitive performance while supporting circular economy principles.

Recent advances in flexible, stretchable, implantable, and transient device designs have expanded the use of nanogenerators in biomedical sensing, environmental monitoring, soft robotics, IoT, and smart textiles. At the system level, hybridised harvesters that combine piezoelectric, triboelectric, electromagnetic, and photovoltaic mechanisms enhance bandwidth, stability, and output under variable operating conditions. These advances are further enabled by improved power management electronics, including ultra-low power rectifiers, impedance matching, adaptive buck boost converters, and thin-film energy storage. Despite their promise, nanogenerators face challenges such as humidity induced charge loss, mechanical wear, thermal instability, and long term environmental degradation. New encapsulation strategies, fatigue-resistant composites, and corrosion-tolerant electrodes can improve stability and extend device lifetime. AI and digital twin frameworks further accelerate design and optimization by predicting performance and simulating device behavior under different operating conditions. Overall, advances in materials, fabrication, intelligent design, and power management are accelerating the transition of nanogenerators toward practical deployment, with growing impact across healthcare, agriculture, wearables, and smart cities.


Corresponding author: Nafeesa Thadikkal Abdul Muthalif, Division of Sustainable Development, College of Science and Engineering, Hamad Bin Khalifa University, Qatar Foundation, Doha 34110, Qatar, E-mail:

Acknowledgment

Open Access funding provided by the Qatar National Library (QNL).

  1. Funding information: The authors state no funding involved.

  2. Author contribution: All authors have accepted responsibility for the entire content of this manuscript and approved its submission.

  3. Conflict of interest: The authors state no conflict of interest.

  4. Data availability statement: All data generated or analysed during this study are included in this published article.

References

1. Qu, X, Yang, Z, Cheng, J, Li, Z, Ji, L. Development and application of nanogenerators in humanoid robotics. Nano Trends 2023;3:100013. https://doi.org/10.1016/j.nwnano.2023.100013.Search in Google Scholar

2. Zhang, Y, Zhou, Z, Fan, Z, Zhang, S, Zheng, F, Liu, K, et al.. Self‐powered multifunctional transient bioelectronics. Small 2018;14:1802050. https://doi.org/10.1002/smll.201802050.Search in Google Scholar PubMed

3. Seah, WKG, Tan, YK, Chan, ATS. Research in energy harvesting wireless sensor networks and the challenges ahead. Berlin, Heidelberg: Springer; 2012:73–93 pp.10.1007/5346_2012_27Search in Google Scholar

4. Paradiso, JA, Starner, T. Energy scavenging for Mobile and wireless electronics. IEEE Pervasive Comput 2005;4:18–27. https://doi.org/10.1109/mprv.2005.9.Search in Google Scholar

5. Kang, W, Ji, G, Huber, JE. Mechanical energy harvesting: from piezoelectric effect to ferroelectric/ferroelastic switching. Nano Energy 2025;133:110489. https://doi.org/10.1016/j.nanoen.2024.110489.Search in Google Scholar

6. Roy, S, Tiang, JJ, Roslee, MB, Ahmed, MDT, Kouzani, AZ, Mahmud, MAP. Design of a highly efficient wideband multi-frequency ambient RF energy harvester. Sensors 2022;22:424. https://doi.org/10.3390/s22020424.Search in Google Scholar PubMed PubMed Central

7. He, H, Wu, Y, Niu, C, Ren, H, Xiong, T, Yu, K, et al.. Toward tiny high-power-density thermoelectric harvesters. Energy Convers Manag 2024;300:117954. https://doi.org/10.1016/j.enconman.2023.117954.Search in Google Scholar

8. Hao, D, Qi, L, Tairab, AM, Ahmed, A, Azam, A, Luo, D, et al.. Solar energy harvesting technologies for PV self-powered applications: a comprehensive review. Renew Energy 2022;188:678–97. https://doi.org/10.1016/j.renene.2022.02.066.Search in Google Scholar

9. Pang, Y, Cao, Y, Derakhshani, M, Fang, Y, Wang, ZL, Cao, C. Hybrid energy-harvesting systems based on triboelectric nanogenerators. Matter 2021;4:116–43. https://doi.org/10.1016/j.matt.2020.10.018.Search in Google Scholar

10. Vidal, JV, Slabov, V, Kholkin, AL, dos Santos, MPS. Hybrid triboelectric-electromagnetic nanogenerators for mechanical energy harvesting: a review. Nano-Micro Lett 2021;13:199. https://doi.org/10.1007/s40820-021-00713-4.Search in Google Scholar PubMed PubMed Central

11. Kim, YJ. Pyroelectricity of BaTiO₃-doped PMNT ferroelectric system for pyroelectric sensor. J Surf Sci Eng 2023;56:380–5. Search in Google Scholar

12. Jung, YH, Wang, S, Lee, KJ, Zi, Y. Nanogenerators for flexible and wearable electronics toward healthcare applications. MRS Bull 2025;50:482–90. https://doi.org/10.1557/s43577-025-00870-6.Search in Google Scholar

13. Li, X, Li, J, Li, K, Zhang, S, Yang, Z, Zhang, C, et al.. From fiber to power: recent advances toward electrospun‐based nanogenerators. Adv Funct Mater 2025;35:2418066. https://doi.org/10.1002/adfm.202418066.Search in Google Scholar

14. Gao, S, Ma, T, Zhou, N, Feng, J, Huayan, P, Luo, J, et al.. Extremely compact and lightweight triboelectric nanogenerator for spacecraft flywheel system health monitoring. Nano Energy 2024;122:109330. https://doi.org/10.1016/j.nanoen.2024.109330.Search in Google Scholar

15. Zuo, Z, Liu, C, Han, QL, Song, J. Unmanned aerial vehicles: control methods and future challenges. IEEE/CAA J Automatica Sinica 2022;9:601–14. https://doi.org/10.1109/jas.2022.105410.Search in Google Scholar

16. Lin, C, Zhao, H, Huang, H, Ma, X, Cao, S. PEO/cellulose composite paper based triboelectric nanogenerator and its application in human-health detection. Int J Biol Macromol 2023;228:251–60. https://doi.org/10.1016/j.ijbiomac.2022.12.237.Search in Google Scholar PubMed

17. Padha, B, Verma, S, Prerna, AA, Patole, SP, Arya, S. Plastic turned into MXene–based pyro-piezoelectric hybrid nanogenerator-driven self-powered wearable symmetric supercapacitor. Appl Energy 2024;356:122402. https://doi.org/10.1016/j.apenergy.2023.122402.Search in Google Scholar

18. Sucharitakul, S, Yarangsi, V, Thanasanvorakun, S, Sintiam, T, Yarin, S, Hongsith, K, et al.. Enhanced perovskite solar cells with TiO2-Graphene nanocomposite quantum dots in electron transport layer. Electrochim Acta 2025;521:145901. https://doi.org/10.1016/j.electacta.2025.145901.Search in Google Scholar

19. Sufyan, M, Mehmood, U, Qayyum Gill, Y, Nazar, R, Ul Haq Khan, A. Hydrothermally synthesize zinc oxide (ZnO) nanorods as an effective photoanode material for third-generation Dye-sensitized solar cells (DSSCs). Mater Lett 2021;297:130017. https://doi.org/10.1016/j.matlet.2021.130017.Search in Google Scholar

20. Sapkal, S, Kandasubramanian, B, Panda, HS. A review of piezoelectric materials for nanogenerator applications. J Mater Sci Mater Electron 2022;33:26633–77. https://doi.org/10.1007/s10854-022-09339-7.Search in Google Scholar

21. Kumar, KU, Hajra, S, Mohana Rani, G, Panda, S, Umapathi, R, Venkateswarlu, S, et al.. Revolutionizing waste-to-energy: harnessing the power of triboelectric nanogenerators. Adv Compos Hybrid Mater 2024;7:91. https://doi.org/10.1007/s42114-024-00903-9.Search in Google Scholar

22. Xu, L, Hasan, MAM, Wu, H, Yang, Y. Electromagnetic–triboelectric hybridized nanogenerators. Energies (Basel) 2021;14:6219. https://doi.org/10.3390/en14196219.Search in Google Scholar

23. Mondal, R, Hasan, MAM, Zhang, R, Olin, H, Yang, Y. Nanogenerators‐based self‐powered sensors. Adv Mater Technol 2022;7:2200282. https://doi.org/10.1002/admt.202200282.Search in Google Scholar

24. Wang, ZL, Zhu, G, Yang, Y, Wang, S, Pan, C. Progress in nanogenerators for portable electronics. Mater Today 2012;15:532–43. https://doi.org/10.1016/s1369-7021(13)70011-7.Search in Google Scholar

25. Nan, Y, Tan, D, Shao, J, Willatzen, M, Wang, ZL. 2D materials as effective cantilever piezoelectric nano energy harvesters. ACS Energy Lett 2021;6:2313–9. https://doi.org/10.1021/acsenergylett.1c00901.Search in Google Scholar

26. Bagla, A, Hembram, K, Rault, F, Salaün, F, Sundarrajan, S, Ramakrishna, S, et al.. ZnO@C/PVDF electrospun membrane as a piezoelectric nanogenerator for wearable applications. J Phys Chem C 2025;129:5808–20. https://doi.org/10.1021/acs.jpcc.4c07913.Search in Google Scholar

27. Xiao, Y, Wu, N, Wang, Q. Energy generation from friction-induced vibration of a piezoelectric beam. Int J Mech Sci 2024;280:109648. https://doi.org/10.1016/j.ijmecsci.2024.109648.Search in Google Scholar

28. Park, H, Si, H, Gu, J, Lee, D, Park, D, Lee, YI, et al.. Engineered kirigami design of PVDF-Pt core–shell nanofiber network for flexible transparent electrode. Sci Rep 2023;13:2582. https://doi.org/10.1038/s41598-023-29812-5.Search in Google Scholar PubMed PubMed Central

29. Park, S, Kim, Y, Jung, H, Park, JY, Lee, N, Seo, Y. Energy harvesting efficiency of piezoelectric polymer film with graphene and metal electrodes. Sci Rep 2017;7:17290. https://doi.org/10.1038/s41598-017-17791-3.Search in Google Scholar PubMed PubMed Central

30. Kulkarni, ND, Kumari, P. Development of highly flexible PVDF-TiO2 nanocomposites for piezoelectric nanogenerator applications. Mater Res Bull 2023;157:112039. https://doi.org/10.1016/j.materresbull.2022.112039.Search in Google Scholar

31. Li, Y, Hu, Q, Zhang, R, Ma, W, Pan, S, Zhao, Y, et al.. Piezoelectric nanogenerator based on electrospinning PVDF/cellulose acetate composite membranes for energy harvesting. Materials 2022;15:7026. https://doi.org/10.3390/ma15197026.Search in Google Scholar PubMed PubMed Central

32. Avanish Babu, T, Madhuri, W. A hybrid microwave sintered PZT composite as a flexible piezoelectric nanogenerator. RSC Adv 2022;12:34454–62. https://doi.org/10.1039/d2ra05570h.Search in Google Scholar PubMed PubMed Central

33. Mohamed Mustakim, NS, Kamaruzaman, D, Abdullah, MH, Malek, MF, Parimon, N, Ahmad, MK, et al.. Review of recent advances in piezoelectric material for nanogenerator application: preparation methods, material selection, performance, applications, and future outlook. J Mater Sci 2024;59:19380–423. https://doi.org/10.1007/s10853-024-10293-4.Search in Google Scholar

34. Mahapatra, SD, Mohapatra, PC, Aria, AI, Christie, G, Mishra, YK, Hofmann, S, et al.. Piezoelectric materials for energy harvesting and sensing applications: roadmap for future smart materials. Adv Sci 2021;8:2100864. https://doi.org/10.1002/advs.202100864.Search in Google Scholar PubMed PubMed Central

35. Du, X, Zhou, Z, Zhang, Z, Yao, L, Zhang, Q, Yang, H. Porous, multi-layered piezoelectric composites based on highly oriented PZT/PVDF electrospinning fibers for high-performance piezoelectric nanogenerators. J Adv Ceram 2022;11:331–44. https://doi.org/10.1007/s40145-021-0537-3.Search in Google Scholar

36. Faraz, M, Singh, HH, Khare, N. A progressive strategy for harvesting mechanical energy using flexible PVDF-rGO-MoS2 nanocomposites film-based piezoelectric nanogenerator. J Alloys Compd 2022;890:161840. https://doi.org/10.1016/j.jallcom.2021.161840.Search in Google Scholar

37. Zhao, Z, Dai, Y, Dou, SX, Liang, J. Flexible nanogenerators for wearable electronic applications based on piezoelectric materials. Mater Today Energy 2021;20:100690. https://doi.org/10.1016/j.mtener.2021.100690.Search in Google Scholar

38. Han, SA, Lee, J, Lin, J, Kim, SW, Kim, JH. Piezo/triboelectric nanogenerators based on 2-dimensional layered structure materials. Nano Energy 2019;57:680–91. https://doi.org/10.1016/j.nanoen.2018.12.081.Search in Google Scholar

39. Xu, Q, Wen, J, Qin, Y. Development and outlook of high output piezoelectric nanogenerators. Nano Energy 2021;86:106080. https://doi.org/10.1016/j.nanoen.2021.106080.Search in Google Scholar

40. Wang, ZL, Song, J. Piezoelectric nanogenerators based on zinc oxide nanowire arrays. Science (1979) 2006;312:242–6. https://doi.org/10.1126/science.1124005.Search in Google Scholar PubMed

41. Mohamed Mustakim, NS, Kamaruzaman, D, Abdullah, MH, Malek, MF, Parimon, N, Ahmad, MK, et al.. Review of recent advances in piezoelectric material for nanogenerator application: preparation methods, material selection, performance, applications, and future outlook. J Mater Sci 2024;59:19380–423. https://doi.org/10.1007/s10853-024-10293-4.Search in Google Scholar

42. Wlazło, M, Haras, M, Kołodziej, G, Szawcow, O, Ostapko, J, Andrysiewicz, W, et al.. Piezoelectric response and substrate effect of ZnO nanowires for mechanical energy harvesting in internet-of-things applications. Materials 2022;15:6767. https://doi.org/10.3390/ma15196767.Search in Google Scholar PubMed PubMed Central

43. Yao, M, Li, L, Wang, Y, Yang, D, Miao, L, Wang, H, et al.. Mechanical energy harvesting and specific potential distribution of a flexible piezoelectric nanogenerator based on 2-D BaTiO3-Oriented polycrystals. ACS Sustain Chem Eng [Internet] 2022;10:3276–87. https://doi.org/10.1021/acssuschemeng.1c07875.Search in Google Scholar

44. Khan, H, Mahmood, N, Zavabeti, A, Elbourne, A, Rahman, MA, Zhang, BY, et al.. Liquid metal-based synthesis of high performance monolayer SnS piezoelectric nanogenerators. Nat Commun 2020;11:3449. https://doi.org/10.1038/s41467-020-17296-0.Search in Google Scholar PubMed PubMed Central

45. Zhang, Y, Wu, M, Zhu, Q, Wang, F, Su, H, Li, H, et al.. Performance enhancement of flexible piezoelectric nanogenerator via doping and rational 3D structure design for self‐powered mechanosensational system. Adv Funct Mater 2019;29:1904259. https://doi.org/10.1002/adfm.201904259.Search in Google Scholar

46. Hanani, Z, Izanzar, I, Amjoud, M, Mezzane, D, Lahcini, M, Uršič, H, et al.. Lead-free nanocomposite piezoelectric nanogenerator film for biomechanical energy harvesting. Nano Energy 2021;81:105661. https://doi.org/10.1016/j.nanoen.2020.105661.Search in Google Scholar

47. Shin, DJ, Ji, JH, Kim, J, Jo, GH, Jeong, SJ, Koh, JH. Enhanced flexible piezoelectric energy harvesters based on BaZrTiO3–BaCaTiO3 nanoparticles/PVDF composite films with Cu floating electrodes. J Alloys Compd 2019;802:562–72. https://doi.org/10.1016/j.jallcom.2019.05.363.Search in Google Scholar

48. Zhang, L, Gui, J, Wu, Z, Li, R, Wang, Y, Gong, Z, et al.. Enhanced performance of piezoelectric nanogenerator based on aligned nanofibers and three-dimensional interdigital electrodes. Nano Energy 2019;65:103924. https://doi.org/10.1016/j.nanoen.2019.103924.Search in Google Scholar

49. Filippin, AN, Sanchez-Valencia, JR, Garcia-Casas, X, Lopez-Flores, V, Macias-Montero, M, Frutos, F, et al.. 3D core-multishell piezoelectric nanogenerators. Nano Energy 2019;58:476–83. https://doi.org/10.1016/j.nanoen.2019.01.047.Search in Google Scholar

50. Zhao, Y, Jia, M, Wang, X, Sun, X, Li, Z. Enhanced output performance piezoelectric nanogenerators based on highly polarized PVDF/TBAHP tree-like nanofiber membranes for energy harvesting. Polym (Guildf) 2024;293:126681. https://doi.org/10.1016/j.polymer.2024.126681.Search in Google Scholar

51. Shin, DJ, Jeong, SJ, Seo, CE, Cho, KH, Koh, JH. Multi-layered piezoelectric energy harvesters based on PZT ceramic actuators. Ceram Int 2015;41:S686–90. https://doi.org/10.1016/j.ceramint.2015.03.180.Search in Google Scholar

52. Shankhdhar, S, Arora, D, Rahman, H, Kumar, R, Ranjan, B, Kaushlendra, K, et al.. Harnessing the mechanical and magnetic energy with PMN-PT/Ni-Mn-In-based flexible piezoelectric nanogenerator. Nano Energy 2025;133:110441. https://doi.org/10.1016/j.nanoen.2024.110441.Search in Google Scholar

53. Sharma, B, Gupta, R, Sharma, A, Chowdhuri, A, Tomar, M. Power in motion: KNN-PDMS self-biased flexible piezoelectric nanogenerators. Mater Today Commun 2025;44:112140. https://doi.org/10.1016/j.mtcomm.2025.112140.Search in Google Scholar

54. Mankuni, A, Varghese, S. High-performance underwater energy harvesting using flexible piezoelectric nanogenerator based on electrospun polyvinylidene fluoride-LiNbO3 fibers. Nano Energy 2025;140:111042. https://doi.org/10.1016/j.nanoen.2025.111042.Search in Google Scholar

55. Badatya, S, Bharti, DK, Sathish, N, Srivastava, AK, Gupta, MK. Humidity sustainable hydrophobic poly(vinylidene fluoride)-Carbon nanotubes foam based piezoelectric nanogenerator. ACS Appl Mater Interfaces 2021;13:27245–54. https://doi.org/10.1021/acsami.1c02237.Search in Google Scholar PubMed

56. Cao, S, Zou, H, Jiang, B, Li, M, Yuan, Q. Incorporation of ZnO encapsulated MoS2 to fabricate flexible piezoelectric nanogenerator and sensor. Nano Energy 2022;102:107635. https://doi.org/10.1016/j.nanoen.2022.107635.Search in Google Scholar

57. Waseem, A, Johar, MA, Abdullah, A, Bagal, IV, Ha, JS, Lee, JK, et al.. Enhanced performance of a flexible and wearable piezoelectric nanogenerator using semi-insulating GaN:Mg/ZnO coaxial nanowires. Nano Energy 2021;90:106552. https://doi.org/10.1016/j.nanoen.2021.106552.Search in Google Scholar

58. Wang, J, Liu, S, Zhang, X, Hou, Y, Liu, Y, Li, X, et al.. High-performance piezoelectric nanogenerators with P(VDF-TrFE)/AlN/ZnO nanofiber membranes for harvesting and monitoring gesture movements. Chem Eng J 2025;510:161818. https://doi.org/10.1016/j.cej.2025.161818.Search in Google Scholar

59. Xu, S, Qin, Y, Xu, C, Wei, Y, Yang, R, Wang, ZL. Self-powered nanowire devices. Nat Nanotechnol 2010;5:366–73. https://doi.org/10.1038/nnano.2010.46.Search in Google Scholar PubMed

60. Bagheri, MH, Khan, AA, Shahzadi, S, Rana, MM, Hasan, MS, Ban, D. Advancements and challenges in molecular/hybrid perovskites for piezoelectric nanogenerator application: a comprehensive review. Nano Energy 2024;120:109101. https://doi.org/10.1016/j.nanoen.2023.109101.Search in Google Scholar

61. Coondoo, I, Pullar, RC, Miranda, G. Multifunctional lead-free piezoelectric (Ba,Ca)(Zr,Ti)O3 compounds: from energy harvesting to electrocaloric cooling and energy storage applications. Mater Res Bull 2024;179:112924. https://doi.org/10.1016/j.materresbull.2024.112924.Search in Google Scholar

62. Wang, Z, Li, N, Zhang, Z, Cui, X, Zhang, H. Hydrogel-based energy harvesters and self-powered sensors for wearable applications. Nanoen Adv 2023;3:315–42. https://doi.org/10.3390/nanoenergyadv3040017.Search in Google Scholar

63. Bodulwar, J. Rare-earth doped piezoelectric materials. Int J Adv Res Innovative Ideas Educ [Internet] 2023;9:3622–5.Search in Google Scholar

64. Khorsand, ZA, Yazdi, ST, Abrishami, ME, Hashim, AM. A review on piezoelectric ceramics and nanostructures: fundamentals and fabrications. J Australian Ceramic Soc 2024;60:723–53, https://doi.org/10.1007/s41779-024-00990-3.Search in Google Scholar

65. Rajaboina, RK, Khanapuram, UK, Vivekananthan, V, Khandelwal, G, Potu, S, Babu, A, et al.. Crystalline porous material‐based nanogenerators: recent progress, applications, challenges, and opportunities. Small 2024;20:2306209. https://doi.org/10.1002/smll.202306209.Search in Google Scholar PubMed

66. Gao, Z, Lei, Y, Li, Z, Yang, J, Yu, B, Yuan, X, et al.. Artificial piezoelectric metamaterials. Prog Mater Sci 2025;151:101434. https://doi.org/10.1016/j.pmatsci.2025.101434.Search in Google Scholar

67. Mathew, MM, Jones, N, Panicker, UG. Self-healing and flexible piezoelectric nanogenerators from sustainable sources: natural rubber composites empowered by embedded machine learning protocol for real-time remote alert system. Chem Eng J 2025;525:170090. https://doi.org/10.1016/j.cej.2025.170090.Search in Google Scholar

68. Fan, FR, Tian, ZQ, Lin Wang, Z. Flexible triboelectric generator. Nano Energy 2012;1:328–34. https://doi.org/10.1016/j.nanoen.2012.01.004.Search in Google Scholar

69. Hao, Y, Zhang, C, Su, W, Zhang, H, Qin, Y, Wang, ZL, et al.. Sustainable materials systems for triboelectric nanogenerator. SusMat 2024;4:e244. https://doi.org/10.1002/sus2.244.Search in Google Scholar

70. Kulandaivel, A, Potu, S, Babu, A, Madathil, N, Velpula, M, Rajaboina, RK, et al.. Advances in ferrofluid-based triboelectric nanogenerators: design, performance, and prospects for energy harvesting applications. Nano Energy 2024;120:109110. https://doi.org/10.1016/j.nanoen.2023.109110.Search in Google Scholar

71. Su, Y, Zhu, G, Yang, W, Yang, J, Chen, J, Jing, Q, et al.. Triboelectric sensor for self-powered tracking of object motion inside tubing. ACS Nano [Internet] 2014;8:3843–50. https://doi.org/10.1021/nn500695q.Search in Google Scholar PubMed

72. Mallineni, SSK, Behlow, H, Dong, Y, Bhattacharya, S, Rao, AM, Podila, R. Facile and robust triboelectric nanogenerators assembled using off-the-shelf materials. Nano Energy 2017;35:263–70. https://doi.org/10.1016/j.nanoen.2017.03.043.Search in Google Scholar

73. Kuang, SY, Chen, J, Cheng, XB, Zhu, G, Wang, ZL. Two-dimensional rotary triboelectric nanogenerator as a portable and wearable power source for electronics. Nano Energy 2015;17:10–6. https://doi.org/10.1016/j.nanoen.2015.07.011.Search in Google Scholar

74. Guo, H, Chen, J, Yeh, MH, Fan, X, Wen, Z, Li, Z, et al.. An ultrarobust high-performance triboelectric nanogenerator based on charge replenishment. ACS Nano [Internet] 2015;9:5577–84. https://doi.org/10.1021/acsnano.5b01830.Search in Google Scholar PubMed

75. Zhang, B, Jiang, Y, Ren, T, Chen, B, Zhang, R, Mao, Y. Recent advances in nature inspired triboelectric nanogenerators for self-powered systems. Int J Extrem Manuf 2024;6:062003. https://doi.org/10.1088/2631-7990/ad65cc.Search in Google Scholar

76. Zhang, C. Comparison of triboelectric nanogenerator and electromagnetic generator. In: Handbook of Triboelectric Nanogenerators. Cham: Springer International Publishing; 2023:1–34 pp.10.1007/978-3-031-05722-9_14-1Search in Google Scholar

77. Wu, C, Wang, AC, Ding, W, Guo, H, Wang, ZL. Triboelectric nanogenerator: a foundation of the energy for the new era. Adv Energy Mater 2019;9:1802906. https://doi.org/10.1002/aenm.201802906.Search in Google Scholar

78. Huang, J, Hao, Y, Zhao, M, Li, W, Huang, F, Wei, Q. All-fiber-structured triboelectric nanogenerator via one-pot electrospinning for self-powered wearable sensors. ACS Appl Mater Inter [Internet] 2021;13:24774–84. https://doi.org/10.1021/acsami.1c03894.Search in Google Scholar PubMed

79. Jannesari, M, Ejehi, F, English, NJ, Mohammadpour, R, Akhavan, O, Shams, S. Triggering triboelectric nanogenerator antibacterial activities: effect of charge polarity and host material correlation. Chem Eng J 2024;486:150036. https://doi.org/10.1016/j.cej.2024.150036.Search in Google Scholar

80. Behera, SA, Hajra, S, Panda, S, Sahu, AK, Alagarsamy, P, Mishra, YK, et al.. Synergistic energy harvesting and humidity sensing with single electrode triboelectric nanogenerator. Ceram Int 2024;50:37193–200. https://doi.org/10.1016/j.ceramint.2024.07.110.Search in Google Scholar

81. Mahapatra, B, Kumar Patel, K, Vidya, Patel, PK. A review on recent advancement in materials for piezoelectric/triboelectric nanogenerators. Mater Today Proc 2021;46:5523–9, https://doi.org/10.1016/j.matpr.2020.09.261.Search in Google Scholar

82. Niu, S, Wang, ZL. Theoretical systems of triboelectric nanogenerators. Nano Energy 2015;14:161–92. https://doi.org/10.1016/j.nanoen.2014.11.034.Search in Google Scholar

83. Rajaboina, RK, Khanapuram, UK, Kulandaivel, A. 2D layered materials based triboelectric self‐powered sensors. Adv Sens Res 2024;3:2400045. https://doi.org/10.1002/adsr.202400045.Search in Google Scholar

84. Potu, S, Kulandaivel, A, Gollapelli, B, Khanapuram, UK, Rajaboina, RK. Oxide based triboelectric nanogenerators: recent advances and future prospects in energy harvesting. Mater Sci Eng R Rep 2024;161:100866. https://doi.org/10.1016/j.mser.2024.100866.Search in Google Scholar

85. Walden, R, Kumar, C, Mulvihill, DM, Pillai, SC. Opportunities and challenges in triboelectric nanogenerator (TENG) based sustainable energy generation technologies: a mini-review. Chem Eng J Adv 2022;9:100237. https://doi.org/10.1016/j.ceja.2021.100237.Search in Google Scholar

86. Lone, SA, Lim, KC, Kaswan, K, Chatterjee, S, Fan, KP, Choi, D, et al.. Recent advancements for improving the performance of triboelectric nanogenerator devices. Nano Energy 2022;99:107318. https://doi.org/10.1016/j.nanoen.2022.107318.Search in Google Scholar

87. Zhou, Y, Shen, M, Cui, X, Shao, Y, Li, L, Zhang, Y. Triboelectric nanogenerator based self-powered sensor for artificial intelligence. Nano Energy 2021;84:105887. https://doi.org/10.1016/j.nanoen.2021.105887.Search in Google Scholar

88. Wang, ZL, Jiang, T, Xu, L. Toward the blue energy dream by triboelectric nanogenerator networks. Nano Energy 2017;39:9–23. https://doi.org/10.1016/j.nanoen.2017.06.035.Search in Google Scholar

89. Shen, J, Li, B, Yang, Y, Yang, Z, Liu, X, Lim, KC, et al.. Application, challenge and perspective of triboelectric nanogenerator as micro-nano energy and self-powered biosystem. Biosens Bioelectron 2022;216:114595. https://doi.org/10.1016/j.bios.2022.114595.Search in Google Scholar PubMed

90. Dong, Y, Mallineni, SSK, Maleski, K, Behlow, H, Mochalin, VN, Rao, AM, et al.. Metallic MXenes: a new family of materials for flexible triboelectric nanogenerators. Nano Energy 2018;44:103–10. https://doi.org/10.1016/j.nanoen.2017.11.044.Search in Google Scholar

91. Kim, I, Jeon, H, Kim, D, You, J, Kim, D. All-in-one cellulose based triboelectric nanogenerator for electronic paper using simple filtration process. Nano Energy 2018;53:975–81. https://doi.org/10.1016/j.nanoen.2018.09.060.Search in Google Scholar

92. Yang, C, Wang, Y, Wang, Y, Zhao, Z, Zhang, L, Chen, H. Highly stretchable PTFE particle enhanced triboelectric nanogenerator for droplet energy harvestings. Nano Energy 2023;118:109000. https://doi.org/10.1016/j.nanoen.2023.109000.Search in Google Scholar

93. Jelmy, EJ, Sunil, M, Kandappanthodi, C, Rincy, P, Saji, KJ, Pillai, SC, et al.. Sustainable energy harvesting and breath sensing with electrospun triboelectric nylon-6. J Phys: Energy 2024;6:025010. https://doi.org/10.1088/2515-7655/ad29fe.Search in Google Scholar

94. Charoonsuk, T, Pongampai, S, Pakawanit, P, Vittayakorn, N. Achieving a highly efficient chitosan-based triboelectric nanogenerator via adding organic proteins: influence of morphology and molecular structure. Nano Energy 2021;89:106430. https://doi.org/10.1016/j.nanoen.2021.106430.Search in Google Scholar

95. Mohan, V, Pazhamalai, P, Krishnamoorthy, K, Kim, SJ. Free-standing graphene oxide/carboxymethyl cellulose paper-based triboelectric nanogenerator for self-powered motion sensor. Surf Interfaces 2024;51:104553. https://doi.org/10.1016/j.surfin.2024.104553.Search in Google Scholar

96. Keykha, M, Mohammadi, A. Investigation of KAPTON–PDMS triboelectric nanogenerator considering the edge-effect capacitor. Energ Harvesting Syst 2024;11:20230030. https://doi.org/10.1515/ehs-2023-0030.Search in Google Scholar

97. Ejaz, S, Shah, I, Aziz, S, Hassan, G, Shuja, A, Khan, MA, et al.. Fabrication and characterization of a flexible polyurethane-based triboelectric nanogenerator for a harvesting energy system. Micromachines (Basel) 2025;16:230. https://doi.org/10.3390/mi16020230.Search in Google Scholar PubMed PubMed Central

98. Navaneeth, M, Supraja, P, Babu, A, Uday Kumar, K, Prakash, K, Rakesh Kumar, R. A triboelectric nanogenerator based on commercial ITO-PET sheets for mechanical energy harvesting and self-powered indicator display applications. Mater Lett 2023;336:133866. https://doi.org/10.1016/j.matlet.2023.133866.Search in Google Scholar

99. Chen, W, Zhao, SZ, Xiang, GT, Lu, R, Xu, JL, Rodriguez, RD, et al.. A flexible ultra-robust ZnO-AgNWs/PDMS-based hybrid nanogenerator for simultaneous energy harvesting and sensing applications. Sens Actuators A Phys 2025;384:116264. https://doi.org/10.1016/j.sna.2025.116264.Search in Google Scholar

100. Zhao, H, Lin, JH, Ren, HT, Peng, HK, Lou, CW, Li, TT. Triboelectric nanogenerator based on superstructure MoS2 for energy harvesting and human sensing. Chem Eng J 2025;505:159107. https://doi.org/10.1016/j.cej.2024.159107.Search in Google Scholar

101. Xiong, Q, Yang, Z, Zhang, X. Flexible triboelectric nanogenerator based on silk fibroin-modified carbon nanotube arrays. Chem Eng J 2024;482:148986. https://doi.org/10.1016/j.cej.2024.148986.Search in Google Scholar

102. Li, C, Wang, P, Zhang, D. Self-healable, stretchable triboelectric nanogenerators based on flexible polyimide for energy harvesting and self-powered sensors. Nano Energy 2023;109:108285. https://doi.org/10.1016/j.nanoen.2023.108285.Search in Google Scholar

103. Jan, AA, Kim, S, Kim, S. A skin-wearable and self-powered laminated pressure sensor based on triboelectric nanogenerator for monitoring human motion. Soft Sci 2024;4. https://doi.org/10.20517/ss.2023.54.Search in Google Scholar

104. Panda, S, Hajra, S, Song, H, Jo, J, Kim, N, Hwang, S, et al.. Pyroelectric based energy harvesting devices: hybrid structures and applications. Sustain Energy Fuels 2023;7:5319–35. https://doi.org/10.1039/d3se01180a.Search in Google Scholar

105. Zhang, D, Wu, H, Bowen, CR, Yang, Y. Recent advances in pyroelectric materials and applications. Small 2021;17:2103960. https://doi.org/10.1002/smll.202103960.Search in Google Scholar PubMed

106. Wang, C, Liu, Z. Piezoelectric materials and pyroelectric materials:high efficient catalysts for photoelectrochemical water splitting. ChemPhysChem 2024;25:e202400227. https://doi.org/10.1002/cphc.202400227.Search in Google Scholar PubMed

107. Yang, Y, Guo, W, Pradel, KC, Zhu, G, Zhou, Y, Zhang, Y, et al.. Pyroelectric nanogenerators for harvesting thermoelectric energy. Nano Lett 2012;12:2833–8. https://doi.org/10.1021/nl3003039.Search in Google Scholar PubMed

108. Yang, Y, Jung, JH, Yun, BK, Zhang, F, Pradel, KC, Guo, W, et al.. Flexible pyroelectric nanogenerators using a composite structure of lead-free KNbO 3 nanowires. Adv Mater 2012;24:5357–62. https://doi.org/10.1002/adma.201201414.Search in Google Scholar PubMed

109. Mohtashami, S, Afarideh, H, Moshkbar-Bakhshayesh, K. Pyroelectric crystals for generation of neutrons: a review. J Appl Phys 2024;135:200701. https://doi.org/10.1063/5.0205453.Search in Google Scholar

110. Deng, C, Zhang, Y, Yang, D, Zhang, H, Zhu, M. Recent progress on barium titanate‐based ferroelectrics for sensor applications. Adv Sens Res 2024;3:2300168. https://doi.org/10.1002/adsr.202300168.Search in Google Scholar

111. Kishore, RA, Priya, S. A review on low-grade thermal energy harvesting: materials, methods and devices. Materials 2018;11:1433. https://doi.org/10.3390/ma11081433.Search in Google Scholar PubMed PubMed Central

112. Zhang, H, Nagashree, MC, Webster, RF, Wang, Z, Zheng, X, Kulkarni, SD, et al.. Optical control of ferroelectric imprint in BiFeO 3. Adv Funct Mater 2025;35:2502700. https://doi.org/10.1002/adfm.202502700.Search in Google Scholar

113. Yaseen, HMA, Park, S. Improved pyroelectric nanogenerator performance of P(VDF-TrFE)/rGO thin film by optimized rGO reduction. Nanomaterials 2024;14:1777. https://doi.org/10.3390/nano14221777.Search in Google Scholar PubMed PubMed Central

114. Ryu, H, Kim, S. Emerging pyroelectric nanogenerators to convert thermal energy into electrical energy. Small 2021;17:1903469. https://doi.org/10.1002/smll.201903469.Search in Google Scholar PubMed

115. Sanin-Villa, D. Recent developments in thermoelectric generation: a review. Sustainability 2022;14:16821. https://doi.org/10.3390/su142416821.Search in Google Scholar

116. Ding, J, Zhao, W, Jin, W, Di, C, Zhu, D. Advanced thermoelectric materials for flexible cooling application. Adv Funct Mater 2021;31:2010695. https://doi.org/10.1002/adfm.202010695.Search in Google Scholar

117. Uchida, Ki., Adachi, H, Kikkawa, T, Kirihara, A, Ishida, M, Yorozu, S, et al.. Thermoelectric generation based on spin seebeck effects. Proc IEEE 2016;104:1946–73. https://doi.org/10.1109/jproc.2016.2535167.Search in Google Scholar

118. Lei, B, Bai, S, Ju, S, Yin, C, Chen, C, Zhang, J. Review on advances in thermoelectric conversion using ion-conducting polymers. Mater Res Express 2021;8:062001. https://doi.org/10.1088/2053-1591/ac0364.Search in Google Scholar

119. Reverter, F. A tutorial on thermal sensors in the 200th anniversary of the seebeck effect. IEEE Sens J 2021;21:22122–32. https://doi.org/10.1109/jsen.2021.3105546.Search in Google Scholar

120. Cheng, H, Wang, Z, Guo, Z, Lou, J, Han, W, Rao, J, et al.. Cellulose-based thermoelectric composites: a review on mechanism, strategies and applications. Int J Biol Macromol 2024;275:132908. https://doi.org/10.1016/j.ijbiomac.2024.132908.Search in Google Scholar PubMed

121. Hasan, MN, Nafea, M, Nayan, N, Mohamed Ali, MS. Thermoelectric generator: materials and applications in wearable health monitoring sensors and internet of things devices. Adv Mater Technol 2022;7:2101203. https://doi.org/10.1002/admt.202101203.Search in Google Scholar

122. Liu, A, Xie, H, Wu, Z, Wang, Y. Advances and outlook of TE-PCM system: a review. Carbon Neutrality 2022;1:20. https://doi.org/10.1007/s43979-022-00018-4.Search in Google Scholar

123. Al-Fartoos, MMR, Roy, A, Mallick, TK, Tahir, AA. Advancing thermoelectric materials: a comprehensive review exploring the significance of one-dimensional nano structuring. Nanomaterials 2023;13:2011. https://doi.org/10.3390/nano13132011.Search in Google Scholar PubMed PubMed Central

124. Abbasi, MS, Sultana, R, Ahmed, I, Adnan, M, Shah, UA, Irshad, MS, et al.. Contemporary advances in organic thermoelectric materials: fundamentals, properties, optimization strategies, and applications. Renew Sustain Energy Rev 2024;200:114579. https://doi.org/10.1016/j.rser.2024.114579.Search in Google Scholar

125. Huang, D, Kim, H, Zou, G, Xu, X, Zhu, Y, Ahmad, K, et al.. All-MXene thermoelectric nanogenerator. Mater Today Energy 2022;29:101129. https://doi.org/10.1016/j.mtener.2022.101129.Search in Google Scholar

126. Jin, L, Sun, T, Zhao, W, Wang, L, Jiang, W. Durable and washable carbon nanotube-based fibers toward wearable thermoelectric generators application. J Power Sources 2021;496:229838. https://doi.org/10.1016/j.jpowsour.2021.229838.Search in Google Scholar

127. Bao, D, Chen, J, Yu, Y, Liu, W, Huang, L, Han, G, et al.. Texture-dependent thermoelectric properties of nano-structured Bi2Te3. Chem Eng J 2020;388:124295. https://doi.org/10.1016/j.cej.2020.124295.Search in Google Scholar

128. Ning, R, Zeng, Y, Rapp, V, Zhang, B, Yang, L, Prasher, R, et al.. Thermoelectric performance of high aspect ratio double-sided silicon nanowire arrays. J Appl Phys 2024;135:095001. https://doi.org/10.1063/5.0187590.Search in Google Scholar

129. Liu, L, Chen, J, Liang, L, Deng, L, Chen, G. A PEDOT:PSS thermoelectric fiber generator. Nano Energy 2022;102:107678. https://doi.org/10.1016/j.nanoen.2022.107678.Search in Google Scholar

130. Liu, D, Yan, Z, Zhao, Y, Zhang, Z, Zheng, Y, Zhang, B, et al.. Enhanced performance of SnSe/PEDOT: PSS composite films by MWCNTs for flexible thermoelectric power generator. J Alloys Compd 2022;898:162844. https://doi.org/10.1016/j.jallcom.2021.162844.Search in Google Scholar

131. Kong, S, Huang, Z, Hu, Y, Jiang, Y, Lu, Y, Zhao, W, et al.. Tellurium-nanowire-doped thermoelectric hydrogel with high stretchability and seebeck coefficient for low-grade heat energy harvesting. Nano Energy 2023;115:108708. https://doi.org/10.1016/j.nanoen.2023.108708.Search in Google Scholar

132. Zhang, D, Wang, Y, Yang, Y. Design, performance, and application of thermoelectric nanogenerators. Small 2019;15:1805241. https://doi.org/10.1002/smll.201805241.Search in Google Scholar PubMed

133. Kim, A, Kumar, P, Annamalai, PK, Patel, R. Recent advances in the nanomaterials, design, fabrication approaches of thermoelectric nanogenerators for various applications. Adv Mater Interfac 2022;9:2201659. https://doi.org/10.1002/admi.202201659.Search in Google Scholar

134. Zheng, C, Xiang, L, Jin, W, Shen, H, Zhao, W, Zhang, F, et al.. A flexible self‐powered sensing element with integrated organic thermoelectric generator. Adv Mater Technol 2019;4:1900247. https://doi.org/10.1002/admt.201900247.Search in Google Scholar

135. Kamolaxon, S. 90 INTERNATIONAL CONFERENCE ON MEDICINE, SCIENCE, AND EDUCATION universalpublishings.com UNDERSTANDING FARADAY’S LAWS: A COMPREHENSIVE OVERVIEW.Search in Google Scholar

136. Chen, X, Ren, Z, Han, M, Wan, J, Zhang, H. Hybrid energy cells based on triboelectric nanogenerator: from principle to system. Nano Energy 2020;75:104980. https://doi.org/10.1016/j.nanoen.2020.104980.Search in Google Scholar

137. Gao, X, Huang, M, Zou, G, Li, X, Wang, Y. Self-powered vibration sensor based on the coupling of dual-mode triboelectric nanogenerator and non-contact electromagnetic generator. Nano Energy 2023;111:108356. https://doi.org/10.1016/j.nanoen.2023.108356.Search in Google Scholar

138. Pan, X, Ling, P, Bao, H, He, W, Li, Q, Yan, B. Tumbler-inspired electromagnetic generator for low-frequency ocean wave energy harvesting. Energy Convers Manag 2023;294:117569. https://doi.org/10.1016/j.enconman.2023.117569.Search in Google Scholar

139. Li, Z, Jiang, X, Xu, W, Gong, Y, Peng, Y, Zhong, S, et al.. Performance comparison of electromagnetic generators based on different circular magnet arrangements. Energy 2022;258:124759. https://doi.org/10.1016/j.energy.2022.124759.Search in Google Scholar

140. Balazadeh, BMR, Bahrami, M, Bannae Sharifian, MB. Novel structure for electromagnetic micro-power harvester. Eng Sci Technol 2022:1–13. https://doi.org/10.37256/est.4120231636.Search in Google Scholar

141. Beeby, SP, O’Donnell, T. Electromagnetic energy harvesting. In: Energy Harvesting Technologies. Boston, MA: Springer US:129–61 pp.10.1007/978-0-387-76464-1_5Search in Google Scholar

142. Zhang, Y, Liu, J, Zhang, J, Chen, Y, Zhou, Y, Liu, X. A flexible droplet-based triboelectric-electromagnetic hybrid generator for raindrop energy harvesting. Nano Energy 2024;121:109253. https://doi.org/10.1016/j.nanoen.2024.109253.Search in Google Scholar

143. Yang, Y, Lee, JH. Hybridized nanogenerators: materials and structural design for improving energy harvesting. MRS Bull 2025;50:416–27. https://doi.org/10.1557/s43577-025-00873-3.Search in Google Scholar

144. Al-Ezzi, AS, Ansari, MNM. Photovoltaic solar cells: a review. Appl Syst Innovation 2022;5:67. https://doi.org/10.3390/asi5040067.Search in Google Scholar

145. Sivasubramanian, R, Aravind Vaithilingam, C, Indira, SS, Paiman, S, Misron, N, Abubakar, S. A review on photovoltaic and nanogenerator hybrid system. Mater Today Energy 2021;20:100772. https://doi.org/10.1016/j.mtener.2021.100772.Search in Google Scholar

146. Xu, C, Wang, X, Wang, ZL. Nanowire structured hybrid cell for concurrently scavenging solar and mechanical energies. J Am Chem Soc 2009;131:5866–72. https://doi.org/10.1021/ja810158x.Search in Google Scholar PubMed

147. Ji, Y, Liu, Y, Yang, Y. Multieffect Coupled Nanogenerators. Research 2020;2020.10.34133/2020/6503157Search in Google Scholar PubMed PubMed Central

148. Ali, I, Islam, MR, Yin, J, Eichhorn, SJ, Chen, J, Karim, N, et al.. Advances in smart photovoltaic textiles. ACS Nano [Internet] 2024;18:3871–915.10.1021/acsnano.3c10033Search in Google Scholar PubMed PubMed Central

149. Alkallas, FH, Alghamdi, SM, Velu Kaliyannan, G, Gunasekaran, R, Rathanasamy, R, Gouider Trabelsi, AB, et al.. Enhanced efficiency of mono-crystalline Si solar cells utilizing RF sputtered TiO2–Al2O3 blended anti-reflection coating for optimal sunlight transmission and energy conversion. Ceram Int 2024;50:14865–77. https://doi.org/10.1016/j.ceramint.2024.01.402.Search in Google Scholar

150. Matsui, T, Bidiville, A, Maejima, K, Sai, H, Koida, T, Suezaki, T, et al.. High-efficiency amorphous silicon solar cells: impact of deposition rate on metastability. Appl Phys Lett 2015;106:053901. https://doi.org/10.1063/1.4907001.Search in Google Scholar

151. Ahmed, Y, Thrithamarassery Gangadharan, D, Kokaba, MR, Yeddu, V, Awais, M, Zhang, D, et al.. All‐scalable CH 3 NH 3 PbI 3 perovskite solar cells fabricated in ambient air. Sol RRL 2023;7:2300288. https://doi.org/10.1002/solr.202300288.Search in Google Scholar

152. Gianola, G, Speranza, R, Bella, F, Lamberti, A. Homo-tandem-bifacial dye-sensitized solar cell: a new paradigm to boost photoconversion efficiency above limit. Sol Energy 2023;265:112116. https://doi.org/10.1016/j.solener.2023.112116.Search in Google Scholar

153. Gupta, B, Min, KH, Lee, Y, Tournet, J, Hoex, B, Jagadish, C, et al.. From rigid to flexible: progress, challenges and prospects of thin c‐Si solar energy devices. Adv Energy Mater 2024;14:2400743. https://doi.org/10.1002/aenm.202400743.Search in Google Scholar

154. Singh, SS, Shougaijam, B. Recent development and future prospects of rigid and flexible dye-sensitized solar cell. Review 2022:85–109.10.1007/978-981-16-9124-9_5Search in Google Scholar

155. Kaliyannan, GV, Gandhi, U, Rathanasamy, R, Subramanian, M, Kandasamy, S, Gunasekaran, R, et al.. Effect of zinc oxide – aluminium oxide mechanical blends for boosting the polycrystalline silicon solar cell performance through antireflection properties. Silicon 2023;15:6375–86. https://doi.org/10.1007/s12633-023-02515-2.Search in Google Scholar

156. Yang, X, Li, P, Wu, B, Li, H, Zhou, G. A flexible piezoelectric-triboelectric hybrid nanogenerator in one structure with dual doping enhancement effects. Curr Appl Phys 2021;32:50–8. https://doi.org/10.1016/j.cap.2021.09.003.Search in Google Scholar

157. Ko, YJ, Kim, DY, Won, SS, Ahn, CW, Kim, IW, Kingon, AI, et al.. Flexible Pb(Zr0.52Ti0.48)O3 (PZT) film for a hybrid piezoelectric-pyroelectric nanogenerator under harsh environments. ACS Appl Mater Interfaces 2016;8:6504–11. https://doi.org/10.1021/acsami.6b00054.Search in Google Scholar PubMed

158. Peng, X, Peng, WC, Chen, YT, Yan, ZX, Lee, LY, Hsiao, KY, et al.. Synergistically designed carbon-based hybrid non-contact triboelectric-and-electromagnetic nanogenerator with ultralong charge retention for wearable and ambient electromagnetic-waste energy harvesting and self-powered sensing. Mater Sci Eng R Rep 2025;165:100994. https://doi.org/10.1016/j.mser.2025.100994.Search in Google Scholar

159. Sukumaran, S, Szewczyk, PK, Bajda, T, Stachewicz, U. Hybrid piezo-pyro-and triboelectric nanogenerator based on PVDF and rGO composite fibers for a multifunctional approach to energy harvesting applications. Mater Des 2025;254:114105. https://doi.org/10.1016/j.matdes.2025.114105.Search in Google Scholar

160. Yang, Y, Xu, B, Yin, X, Liu, X, Tan, D, Wang, Q. Flexible hybrid nanogenerator coupling of triboelectric and photovoltaic effects based on fluoride dielectric regulation for energy harvesting. Nano Energy 2024;126:109707. https://doi.org/10.1016/j.nanoen.2024.109707.Search in Google Scholar

161. Shen, G, Hu, Y, Li, J, Wen, J, Ma, J. A piezo-triboelectric hybrid nanogenerator based on charge pumping strategy. Energy Convers Manag 2023;292:117368. https://doi.org/10.1016/j.enconman.2023.117368.Search in Google Scholar

162. Naguib, M, Kurtoglu, M, Presser, V, Lu, J, Niu, J, Heon, M, et al.. Two‐dimensional nanocrystals produced by exfoliation of Ti3 AlC2. Adv Mater 2011;23:4248–53. https://doi.org/10.1002/adma.201102306.Search in Google Scholar PubMed

163. Ma, Y, Liu, N, Li, L, Hu, X, Zou, Z, Wang, J, et al.. A highly flexible and sensitive piezoresistive sensor based on MXene with greatly changed interlayer distances. Nat Commun 2017;8:1207. https://doi.org/10.1038/s41467-017-01136-9.Search in Google Scholar PubMed PubMed Central

164. Zhang, S, Rana, SS, Bhatta, T, Pradhan, GB, Sharma, S, Song, H, et al.. 3D printed smart glove with pyramidal MXene/Ecoflex composite-based toroidal triboelectric nanogenerators for wearable human-machine interaction applications. Nano Energy 2023;106:108110. https://doi.org/10.1016/j.nanoen.2022.108110.Search in Google Scholar

165. Pang, J, Mendes, RG, Bachmatiuk, A, Zhao, L, Ta, HQ, Gemming, T, et al.. Applications of 2D MXenes in energy conversion and storage systems. Chem Soc Rev 2019;48:72–133. https://doi.org/10.1039/c8cs00324f.Search in Google Scholar PubMed

166. VahidMohammadi, A, Rosen, J, Gogotsi, Y. The world of two-dimensional carbides and nitrides (MXenes). Science 1979;2021:372.10.1126/science.abf1581Search in Google Scholar PubMed

167. Salauddin, M, Rana, SMS, Rahman, MT, Sharifuzzaman, MD, Maharjan, P, Bhatta, T, et al.. Fabric‐assisted MXene/Silicone nanocomposite‐based triboelectric nanogenerators for self‐powered sensors and wearable electronics. Adv Funct Mater 2022;32:2107143. https://doi.org/10.1002/adfm.202107143.Search in Google Scholar

168. Cao, Y, Guo, Y, Chen, Z, Yang, W, Li, K, He, X, et al.. Highly sensitive self-powered pressure and strain sensor based on crumpled MXene film for wireless human motion detection. Nano Energy 2022;92:106689. https://doi.org/10.1016/j.nanoen.2021.106689.Search in Google Scholar

169. Rasheed, A, Ajmal, S, Wang, P, Lee, SG. Energizing the future: unveiling challenges and prospects in MXene-based piezoelectric and triboelectric nanogenerators for micro- and nanoscale energy harvesting applications. Appl Mater Today 2024;39:102270. https://doi.org/10.1016/j.apmt.2024.102270.Search in Google Scholar

170. Wang, J, Shi, Z, Gong, J, Zhou, X, Li, J, Lyu, Z. 3D printing of graphene-based aerogels and their applications. FlatChem 2024;47:100731. https://doi.org/10.1016/j.flatc.2024.100731.Search in Google Scholar

171. Sharma, SN, Semalti, P, Bhawna, Rao, AS. Pioneering advancements in quantum dot solar cells: innovations in synthesis and cutting-edge applications. Curr Opin Colloid Interface Sci 2025;77:101905, https://doi.org/10.1016/j.cocis.2025.101905.Search in Google Scholar

172. Kumar, S, Kumari, N, Singh, T, Seo, Y. Shielding 2D MXenes against oxidative degradation: recent advances, factors and preventive measures. J Mater Chem C Mater 2024;12:8243–81. https://doi.org/10.1039/d4tc00884g.Search in Google Scholar

173. Gao, Y, Liu, G, Bu, T, Liu, Y, Qi, Y, Xie, Y, et al.. MXene based mechanically and electrically enhanced film for triboelectric nanogenerator. Nano Res 2021;14:4833–40. https://doi.org/10.1007/s12274-021-3437-5.Search in Google Scholar

174. Kumar, S, Zain Mehdi, SM, Taunk, M, Kumar, S, Aherwar, A, Singh, S, et al.. Synergistic effects of polymer integration on the properties, stability, and applications of MXenes. J Mater Chem A Mater 2025;13:11050–113. https://doi.org/10.1039/d4ta08094g.Search in Google Scholar

175. Yao, B, Chandrasekaran, S, Zhang, H, Ma, A, Kang, J, Zhang, L, et al.. 3D‐Printed structure boosts the kinetics and intrinsic capacitance of pseudocapacitive graphene aerogels. Adv Mater 2020;32:1906652. https://doi.org/10.1002/adma.201906652.Search in Google Scholar PubMed

176. Wang, Z, Gao, W, Zhang, Q, Zheng, K, Xu, J, Xu, W, et al.. 3D-Printed graphene/polydimethylsiloxane composites for stretchable and strain-insensitive temperature sensors. ACS Appl Mater Inter [Internet] 2019;11:1344–52. https://doi.org/10.1021/acsami.8b16139.Search in Google Scholar PubMed

177. Huang, K, Dong, S, Yang, J, Yan, J, Xue, Y, You, X, et al.. Three-dimensional printing of a tunable graphene-based elastomer for strain sensors with ultrahigh sensitivity. Carbon N Y 2019;143:63–72. https://doi.org/10.1016/j.carbon.2018.11.008.Search in Google Scholar

178. Wu, Y, An, C, Guo, Y. 3D printed graphene and graphene/polymer composites for multifunctional applications. Materials 2023;16:5681. https://doi.org/10.3390/ma16165681.Search in Google Scholar PubMed PubMed Central

179. Zhang, X, Zhou, J, Zheng, Y, Wei, H, Su, Z. Graphene-based hybrid aerogels for energy and environmental applications. Chem Eng J 2021;420:129700. https://doi.org/10.1016/j.cej.2021.129700.Search in Google Scholar

180. Manna, L. The bright and enlightening science of quantum dots. Nano Lett [Internet] 2023;23:9673–6.10.1021/acs.nanolett.3c03904Search in Google Scholar PubMed PubMed Central

181. Lims, SC, Tran, NA, Dao, VD, Pham, PV. The world of quantum dot-shaped nanoparticles: nobel prize in chemistry 2023: advancements and prospectives. Coord Chem Rev 2025;528:216423. https://doi.org/10.1016/j.ccr.2024.216423.Search in Google Scholar

182. Hu, C, Channa, AI, Xia, L, Li, X, Li, Z, Wang, ZM, et al.. Colloidal InAs quantum dots: synthesis, properties, and optoelectronic devices. Adv Funct Mater 2025;35:2500280. https://doi.org/10.1002/adfm.202500280.Search in Google Scholar

183. Xu, RHJ, Keating, LP, Vikram, A, Shim, M, Kenis, PJA. Understanding hot injection quantum dot synthesis outcomes using automated high-throughput experiment platforms and machine learning. Chem Mater [Internet] 2024;36:1513–25.10.1021/acs.chemmater.3c02751Search in Google Scholar

184. Flores-Gómez, J, Mota-Macías, S, Guerrero-Jiménez, JP, Romero-Arellano, VH, Morales-Rivera, J. Sol–gel synthesis of TiO2 with pectin and their efficiency in solar cells sensitized by quantum dots. Gels 2024;10:470. https://doi.org/10.3390/gels10070470.Search in Google Scholar PubMed PubMed Central

185. Mohanty, A, Kamali, K. Hybrid quantum dots for surface-enhanced raman scattering-based monitoring and photoreduction of Hg (II) ions. ACS Appl Nano Mater 2024;7:3326–38. https://doi.org/10.1021/acsanm.3c05750.Search in Google Scholar

186. Chai, Z, Lin, H, Bai, H, Huang, Y, Guan, Z, Liu, F, et al.. Application of metal halide perovskite in internet of things. Micromachines (Basel) 2024;15:1152. https://doi.org/10.3390/mi15091152.Search in Google Scholar PubMed PubMed Central

187. Mondal, B, Sarkar, R, Saini, D, Gupta, V, Kundu, TK, Mandal, D. All‐electrospun, water‐resistant, breathable, wearable, and stable metal halide perovskite engineered electroactive polymer textiles for flexible piezoelectric nanogenerator. Adv Mater Technol 2023;8:2300614. https://doi.org/10.1002/admt.202300614.Search in Google Scholar

188. Jiang, F, Zhou, X, Lv, J, Chen, J, Chen, J, Kongcharoen, H, et al.. Stretchable, breathable, and stable lead‐free perovskite/polymer nanofiber composite for hybrid triboelectric and piezoelectric energy harvesting. Adv Mater 2022;34:2200042. https://doi.org/10.1002/adma.202200042.Search in Google Scholar PubMed

189. Ji, S, Imtiaz, S, Sun, D, Xin, Y, Li, Q, Huang, T, et al.. Coralline‐like n‐doped hierarchically porous carbon derived from enteromorpha as a host matrix for lithium‐sulfur battery. Chem Eur J 2017;23:18208–15. https://doi.org/10.1002/chem.201703357.Search in Google Scholar PubMed

190. Lim, A, Haji Manaf, N, Tennakoon, K, Chandrakanthi, RLN, Lim, LBL, Bandara, JMRS, et al.. Higher performance of DSSC with dyes from cladophora sp. as mixed cosensitizer through synergistic effect. Journal of Biophysics 2015;2015:1–8. https://doi.org/10.1155/2015/510467.Search in Google Scholar PubMed PubMed Central

191. Iwuchukwu, IJ, Vaughn, M, Myers, N, O’Neill, H, Frymier, P, Bruce, BD. Self-organized photosynthetic nanoparticle for cell-free hydrogen production. Nat Nanotechnol 2010;5:73–9. https://doi.org/10.1038/nnano.2009.315.Search in Google Scholar PubMed

192. Cui, Y, Rashid, N, Hu, N, Rehman, MSU, Han, JI. Electricity generation and microalgae cultivation in microbial fuel cell using microalgae-enriched anode and bio-cathode. Energy Convers Manag 2014;79:674–80. https://doi.org/10.1016/j.enconman.2013.12.032.Search in Google Scholar

193. S, S, Chandran, AM, Varun, S, Kumar, MVP, Mural, PKS. Chitosan nanocomposite-based triboelectric nanogenerators with enhanced electrical performance: an opportunity for bioelectronics. ACS Appl Electron Mater 2024;6:887–900. https://doi.org/10.1021/acsaelm.3c01428.Search in Google Scholar

194. Zhang, YH, Shao, Y, Luo, C, Ma, HZ, Yu, H, Liu, X, et al.. Preparation of a high-performance chitosan-based triboelectric nanogenerator by regulating the surface microstructure and dielectric constant. J Mater Chem C Mater 2023;11:260–8. https://doi.org/10.1039/d2tc04262b.Search in Google Scholar

195. Gao, C, Tong, W, Liu, S, Wang, X, Zhang, Y. Fully degradable chitosan–based triboelectric nanogenerators applying in disposable medical products for information transfer. Nano Energy 2023;117:108876. https://doi.org/10.1016/j.nanoen.2023.108876.Search in Google Scholar

196. Sanyal, D, Chowdhury, P, Dey, S, Mandal, A, Saha, M, Nawaz, SM, et al.. Performance enhancement of triboelectric nanogenerator by embedding tea-leaf powder in waste polystyrene. Nano Energy 2024;132:110359. https://doi.org/10.1016/j.nanoen.2024.110359.Search in Google Scholar

197. Mi, Y, Lu, Y, Shi, Y, Zhao, Z, Wang, X, Meng, J, et al.. Biodegradable polymers in triboelectric nanogenerators. Polymers (Basel) 2022;15:222. https://doi.org/10.3390/polym15010222.Search in Google Scholar PubMed PubMed Central

198. Gao, X, Huang, L, Wang, B, Xu, D, Zhong, J, Hu, Z, et al.. Natural materials assembled, biodegradable, and transparent paper-based electret nanogenerator. ACS Appl Mater Interfaces 2016;8:35587–92. https://doi.org/10.1021/acsami.6b12913.Search in Google Scholar PubMed

199. Chao, S, Ouyang, H, Jiang, D, Fan, Y, Li, Z. Triboelectric nanogenerator based on degradable materials. EcoMat 2021;3:e12072. https://doi.org/10.1002/eom2.12072.Search in Google Scholar

200. Delgado-Alvarado, E, Ashraf, MW, Tayyaba, S, González-Calderon, JA, López-Esparza, R, Pérez-Pérez, MC, et al.. A novel sustainable and cost-effective triboelectric nanogenerator connected to the internet of things for communication with deaf–mute people. Technologies (Basel) 2025;13:188. https://doi.org/10.3390/technologies13050188.Search in Google Scholar

201. Jarvio-Cordova, VA, Elvira-Hernández, EA, García-Saldaña, A, Garay-Marín, JD, Ovando-Chacón, GE, Díaz-González, M, et al.. Sustainable triboelectric nanogenerator based on recycled and waste materials for renewable energy harvesting. Renew Energy 2025;251:123439.10.1016/j.renene.2025.123439Search in Google Scholar

202. Delgado-Alvarado, E, Figueroa-Navarro, MA, Martínez-Castillo, J, García-González, L, Elvira-Hernández, EA, Vallejo-Montesinos, J, et al.. Sustainable, eco-friendly, and cost-effective energy generation based on coffee grounds for self-powered devices and alarm systems. Sens Actuators A Phys 2024;378:115816.10.1016/j.sna.2024.115816Search in Google Scholar

203. Duan, Z, Xu, J, Zhao, H, Chen, Y, Huang, C, Lu, P. A fully degradable and enclosed triboelectric nanogenerator based on spent coffee grounds triboelectric material. Adv Funct Mater 2025:e23277. https://doi.org/10.1002/adfm.202523277.Search in Google Scholar

204. Elvira-Hernández, EA, Hernández-Hernández, J, de León, A, Gallardo-Vega, C, Delgado-Alvarado, E, López-Huerta, F, et al.. Green energy harvesting to power electronic devices using portable triboelectric nanogenerator based on waste corn husk and recycled polystyrene. Energy Rep 2024;11:276–86. https://doi.org/10.1016/j.egyr.2023.11.059.Search in Google Scholar

205. Dong, C, Leber, A, Yan, D, Banerjee, H, Laperrousaz, S, Das Gupta, T, et al.. 3D stretchable and self-encapsulated multimaterial triboelectric fibers. Sci Adv 2022;8:eabo0869. https://doi.org/10.1126/sciadv.abo0869.Search in Google Scholar PubMed PubMed Central

206. He, X, Zi, Y, Guo, H, Zheng, H, Xi, Y, Wu, C, et al.. A highly stretchable fiber‐based triboelectric nanogenerator for self‐powered wearable electronics. Adv Funct Mater 2017;27:1604378. https://doi.org/10.1002/adfm.201604378.Search in Google Scholar

207. Zhao, G, Zhang, Y, Shi, N, Liu, Z, Zhang, X, Wu, M, et al.. Transparent and stretchable triboelectric nanogenerator for self-powered tactile sensing. Nano Energy 2019;59:302–10. https://doi.org/10.1016/j.nanoen.2019.02.054.Search in Google Scholar

208. Shen, A, Xuan, H, Jia, Y, Gu, S, Neisiany, RE, Shu, W, et al.. Dynamic healing-assembly for biocompatible, biodegradable, stretchable and self-healing triboelectric nanogenerators. Chem Eng J 2024;491:151896. https://doi.org/10.1016/j.cej.2024.151896.Search in Google Scholar

209. Ippili, S, Jella, V, Jyothi, SJ, Kment, S, Zboril, R, Yoon, S, et al.. Covalent Graphene‐Metal–Organic polyhedra hybrids: triboelectric nanogenerators for next generation of wearable e‐skin technologies. Small 2025;21:2503772. https://doi.org/10.1002/smll.202503772.Search in Google Scholar PubMed

210. Xu, Q, Tao, Y, Wang, Z, Zeng, H, Yang, J, Li, Y, et al.. Highly flexible, high‐performance, and stretchable piezoelectric sensor based on a hierarchical droplet‐shaped ceramics with enhanced damage tolerance. Adv Mater 2024;36:2311624. https://doi.org/10.1002/adma.202311624.Search in Google Scholar PubMed PubMed Central

211. Munirathinam, P, Chandrasekhar, A. Wearable triboelectric nanogenerator for real-time IoT-supported security applications. Sustain Mater Technol 2023;37:e00700. https://doi.org/10.1016/j.susmat.2023.e00700.Search in Google Scholar

212. Suryani, S, Tahir, D, Alomari, A, Setiawan, V, Akouibaa, A, Mardiyanti, R, et al.. Science mapping of nanogenerator research development to harvest energy from human body motion for wearable IoT devices. JOM 2025;78:431–47. https://doi.org/10.1007/s11837-025-07845-7.Search in Google Scholar

213. Lu, L, Wu, J, Zhang, Y, Liu, C, Hu, Y, Chen, B, et al.. Noncontact 3D gesture recognition enabled VR human–machine interface via electret-nanofiber-based triboelectric sensor. Nano Res 2025;18:94907924. https://doi.org/10.26599/nr.2025.94907924.Search in Google Scholar

214. Ouyang, H, Li, Z, Gu, M, Hu, Y, Xu, L, Jiang, D, et al.. A bioresorbable dynamic pressure sensor for cardiovascular postoperative care. Adv Mater 2021;33:2102302. https://doi.org/10.1002/adma.202102302.Search in Google Scholar PubMed

215. Bhatia, D, Jo, SH, Ryu, Y, Kim, Y, Kim, DH, Park, HS. Wearable triboelectric nanogenerator based exercise system for upper limb rehabilitation post neurological injuries. Nano Energy 2021;80:105508. https://doi.org/10.1016/j.nanoen.2020.105508.Search in Google Scholar

216. Li, W, Lu, L, Kottapalli, AGP, Pei, Y. Bioinspired sweat-resistant wearable triboelectric nanogenerator for movement monitoring during exercise. Nano Energy 2022;95:107018. https://doi.org/10.1016/j.nanoen.2022.107018.Search in Google Scholar

217. Tao, K, Chen, Z, Yu, J, Zeng, H, Wu, J, Wu, Z, et al.. Ultra‐sensitive, deformable, and transparent triboelectric tactile sensor based on micro‐pyramid patterned ionic hydrogel for interactive human–machine interfaces. Adv Sci 2022;9:2104168. https://doi.org/10.1002/advs.202104168.Search in Google Scholar PubMed PubMed Central

218. Ning, C, Cheng, R, Jiang, Y, Sheng, F, Yi, J, Shen, S, et al.. Helical fiber strain sensors based on triboelectric nanogenerators for self-powered human respiratory monitoring. ACS Nano 2022;16:2811–21. https://doi.org/10.1021/acsnano.1c09792.Search in Google Scholar PubMed

219. Bai, Y, Meng, H, Li, Z, Wang, ZL. Degradable piezoelectric biomaterials for medical applications. MedMat 2024;1:40–9. https://doi.org/10.1097/mm9.0000000000000002.Search in Google Scholar

220. Yang, F, Li, J, Long, Y, Zhang, Z, Wang, L, Sui, J, et al.. Wafer-scale heterostructured piezoelectric bio-organic thin films. Science (1979) 2021;373:337–42. https://doi.org/10.1126/science.abf2155.Search in Google Scholar PubMed PubMed Central

221. Das, R, Curry, EJ, Le, TT, Awale, G, Liu, Y, Li, S, et al.. Biodegradable nanofiber bone-tissue scaffold as remotely-controlled and self-powering electrical stimulator. Nano Energy 2020;76:105028. https://doi.org/10.1016/j.nanoen.2020.105028.Search in Google Scholar PubMed PubMed Central

222. Chorsi, MT, Le, TT, Lin, F, Vinikoor, T, Das, R, Stevens, JF, et al.. Highly piezoelectric, biodegradable, and flexible amino acid nanofibers for medical applications. Sci Adv 2023;9:eadg6075. https://doi.org/10.1126/sciadv.adg6075.Search in Google Scholar PubMed PubMed Central

223. Jiang, L, Lu, G, Zeng, Y, Sun, Y, Kang, H, Burford, J, et al.. Flexible ultrasound-induced retinal stimulating piezo-arrays for biomimetic visual prostheses. Nat Commun 2022;13:3853. https://doi.org/10.1038/s41467-022-31599-4.Search in Google Scholar PubMed PubMed Central

224. Liu, H, Zhao, Y, Yang, J, Rao, Z. The influence of piezoelectric transducer stimulating sites on the performance of implantable middle ear hearing devices: a numerical analysis. Micromachines (Basel) 2019;10:782. https://doi.org/10.3390/mi10110782.Search in Google Scholar PubMed PubMed Central

225. Wang, F, Zhang, YY, Li, S, Zhang, L, Tao, Y, Cui, J, et al.. Integration of cobalt coordination polymer-based triboelectric nanogenerators as sustainable power sources for self-driven selective photocatalytic reactions. Chem Eng J 2025;503:158194. https://doi.org/10.1016/j.cej.2024.158194.Search in Google Scholar

226. Wang, Z, Liu, X, Yue, M, Yao, H, Tian, H, Sun, X, et al.. Hybridized energy harvesting device based on high-performance triboelectric nanogenerator for smart agriculture applications. Nano Energy 2022;102:107681. https://doi.org/10.1016/j.nanoen.2022.107681.Search in Google Scholar

227. Lan, L, Xiong, J, Gao, D, Li, Y, Chen, J, Lv, J, et al.. Breathable nanogenerators for an On-Plant self-powered sustainable agriculture system. ACS Nano [Internet] 2021;15:5307–15.10.1021/acsnano.0c10817Search in Google Scholar PubMed

228. Chen, C, Guo, D, Tuo, L, Wen, Y, Li, J, Qu, H, et al.. One meter triboelectric nanogenerator for efficient harvesting of meter‐scale wave energy. Adv Funct Mater 2024;34:2406775. https://doi.org/10.1002/adfm.202406775.Search in Google Scholar

229. Bakhtiyari, S, Bagherzadeh, R, Ezazshahabi, N, Jahanshahi, A, Van Langenhove, L, Malengier, B. Scalable all-textile embedded electrode triboelectric nanogenerator: hybrid single-electrode and contact-separation working functions for wearable body motion monitoring. J Ind Textil 2024;54. https://doi.org/10.1177/15280837241300546.Search in Google Scholar

230. Zhao, X, Askari, H, Chen, J. Nanogenerators for smart cities in the era of 5G and internet of things. Joule 2021;5:1391–431. https://doi.org/10.1016/j.joule.2021.03.013.Search in Google Scholar

231. Perez-Rosado, A, Gehlhar, RD, Nolen, S, Gupta, SK, Bruck, HA. Design, fabrication, and characterization of multifunctional wings to harvest solar energy in flapping wing air vehicles. Smart Mater Struct 2015;24:065042. https://doi.org/10.1088/0964-1726/24/6/065042.Search in Google Scholar

232. Oettershagen, P, Melzer, A, Mantel, T, Rudin, K, Stastny, T, Wawrzacz, B, et al.. Design of small hand‐launched solar‐powered UAVs: from concept study to a multi‐day world endurance record flight. J Field Robot 2017;34:1352–77. https://doi.org/10.1002/rob.21717.Search in Google Scholar

233. Gavrilovic, N, Mohamed, A, Marino, M, Watkins, S, Moschetta, JM, Benard, E. Avian-inspired energy-harvesting from atmospheric phenomena for small UAVs. Bioinspir Biomim 2018;14:016006. https://doi.org/10.1088/1748-3190/aaec61.Search in Google Scholar PubMed

234. Liu, SZ, Guo, WT, Zhao, XH, Tang, XG, Sun, QJ. Self-powered sensing for health monitoring and robotics. Soft Sci 2025;5. https://doi.org/10.20517/ss.2024.65.Search in Google Scholar

235. Wang, Y, Tan, P, Wu, Y, Luo, D, Li, Z. Artificial intelligence‐enhanced skin‐like sensors based on flexible nanogenerators. View 2022;3:20220026. https://doi.org/10.1002/viw.20220026.Search in Google Scholar

236. Liang, Z, He, J, Hu, C, Pu, X, Khani, H, Dai, L, et al.. Next‐generation energy harvesting and storage technologies for robots across all scales. Adv Intell Syst 2023;5:2200045. https://doi.org/10.1002/aisy.202200045.Search in Google Scholar

237. Gonçalves, Ldos S, Pereira, RML, Tyszler, RS, Morais, MCAM, Barbosa, CRH. Application of PVDF transducers for piezoelectric energy harvesting in unmanned aerial vehicles. Energies (Basel) 2025;18:4759. https://doi.org/10.3390/en18174759.Search in Google Scholar

238. Lee, Y, Ren, Z, Hsiao, YH, Kim, S, Song, WJ, Lee, C, et al.. Liftoff of a soft-actuated micro-aerial-robot powered by triboelectric nanogenerators. Nano Energy 2024;126:109602. https://doi.org/10.1016/j.nanoen.2024.109602.Search in Google Scholar

239. Wei, X, Yi, Z, Li, W, Zhao, L, Zhang, W. Energy harvesting fueling the revival of self-powered unmanned aerial vehicles. Energy Convers Manag 2023;283:116863. https://doi.org/10.1016/j.enconman.2023.116863.Search in Google Scholar

240. Matin Nazar, A, Mohsenian, R, Rayegani, A, Shadfar, M, Jiao, P. Skin-contact triboelectric nanogenerator for energy harvesting and motion sensing: principles, challenges, and perspectives. Biosensors (Basel) 2023;13:872. https://doi.org/10.3390/bios13090872.Search in Google Scholar PubMed PubMed Central

241. Dassanayaka, DG, Alves, TM, Wanasekara, ND, Dharmasena, IG, Ventura, J. Recent progresses in wearable triboelectric nanogenerators. Adv Funct Mater 2022;32:2205438. https://doi.org/10.1002/adfm.202205438.Search in Google Scholar

242. Zhao, H, Ruan, L, Wang, Z, Shu, M, Lyu, C, Lakshan, BR, et al.. Flexible nanogenerators for intelligent robotics: design, manufacturing, and applications. Int J Extrem Manuf 2025;7:022012. https://doi.org/10.1088/2631-7990/ad94b8.Search in Google Scholar

Received: 2025-08-24
Accepted: 2025-12-16
Published Online: 2026-01-28

© 2026 the author(s), published by De Gruyter, Berlin/Boston

This work is licensed under the Creative Commons Attribution 4.0 International License.

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