Abstract
Achieving high-efficiency sorting of microfluidics (such as cells, particles, droplets, etc.) has great significance in the fields of biology, chemistry, medical treatment, material synthesis, and drug development. This paper introduces the microfluidics sorting methods in recent years. The current research status and progress can be divided into the active sorting system and passive sorting system according to whether there is an external field. They can control the microfluidics by promoting more selective separation, so as to obtain higher resolution and selection rate. In this paper, the above methods are analyzed and discussed, and the future microfluidic sorting is prospected.
1 Introduction
Research based on cells and droplets has greatly increased the technical requirements for separating and purifying specific samples from complex samples [1, 2]. Classification and detection of cells according to their inherent characteristics are important goals directly related to biomedical and clinical applications [3, 4]. In recent years, the development of microfluidic technology has provided a new technology platform for the separation of cells and droplets. Micron-level particles can be sorted by the laminar distribution of microfluidics on the platform [5, 6]. When several streams of fluid are in parallel, mixing does not occur, and material communication between the fluids relies on relatively slow and inefficient diffusion [7]. Molecular transfer between them must always consider diffusion [8]. Smaller size microfluidic devices can significantly reduce the number of samples and reagents used by several orders of magnitude [9, 10]. It also reduces the amount of biohazardous waste and greatly improves biological compatibility [4]. This property is particularly important in microfluidic instruments [11, 12]. The separation and screening of micro-scale objects have broad application prospects in the fields of biomedicine [9, 13,14,15], physical chemistry [16], and preparation of micro-nano materials [17, 18]. Therefore, microfluidic instruments can obtain finer, more stable chemical gradients than traditional experimental conditions. Smaller size microfluidic devices can reduce the amount of sample and reagent used by several orders of magnitude. The research of microfluidic chips is to further reduce the experimental equipment and processes. The research of microfluidic chip is to further reduce the experimental equipment and process. The integration and transportation of samples or reagents in the microchannel can be realized through micropumps and valves [13].
Therefore, how to achieve precise and high-throughput sorting of microfluidics is a crucial technical means. At present, there are many methods to improve the efficiency of sorting and shorten the time scale of sorting. The sorting technology based on microfluidic chips can be divided into active sorting and passive sorting. Active sorting system relies primarily on external fields to apply force to achieve microfluidic sorting (Including electrophoretic sorting [19,20,21], acoustrophoresis sorting [22,23,24], magnetic sorting [25,26,27,28] and optical sorting [29, 30]). The passive sorting system mainly includes gravity inertia analysis [31, 32], micro-scale method [33,34,35], deterministic lateral displacement [36] and hydrodynamic fractionation [37, 38].
Among them, active sorting technology relies on external force field to classify microfluidics. Therefore, these sorting methods are often targeted and have special requirements on the properties of microfluidics (such as electrophoretic sorting requires microfluidics to have electrical properties [39]). Passive sorting technology mainly realizes particle sorting by using microchannels with complex structures. Therefore, the use of microfilters or well-designed microchannel structures can achieve high-efficiency and energy-saving microfluid separation. In addition, active and passive sorting techniques can also be combined for particle sorting [40,41,42].
This review mainly investigates the latest research progress of microfluidic sorting systems from two perspectives: (1) based on active sorting system; (2) based on passive sorting system. Furthermore, the research progress of microfluidic sorting technology in recent years is explored, and it is hoped that it can help the development of microfluidic sorting technology.
2 Active sorting
2.1 Electrophoretic sorting
Electrophoretic sorting is the sorting of microfluidics by applying an electric field, which can be divided into a direct current (DC) electric field and an alternating current (AC) electric field. Among them, the DC electric field is a uniform electric field, and the droplet can be sorted due to the existence of its surface charge [43]. The AC electric field is a non-uniform electric field, and the droplets do not need to have surface charges. Different from the DC field, AC electric field can polarize the droplet. Once the droplet is exposed to an AC field, the migration and orientation at the maximum electric field strength depends on the conductivity of the droplet itself, which is called dielectrophoresis (DEP), and the dielectrophoretic force depend on the size and characteristics of the fluid. A droplet with a higher permeability than a fluid is attracted to the field maximum, which is called positive DEP (pDEP) [44], and the opposite is negative DEP (nDEP) [45]. Dielectrophoresis has little effect on microfluidics and has been widely used.
Wang et al. [46] developed an nDEP system with a set of fork-shaped alignment electrodes, which can provide repulsive forces on both sides of the microfluidic channel to allow tissue cells to pass through at a precise distance from the microfluidic channel wall. When the nDEP effect is added, due to the action of the electric field, the flow state of the polystyrene beads or cells in the microchannel changes and flows out from a specific outlet to achieve the purpose of sorting. Guo et al. [47] designed a micro-fluid sorting device for “droplet self-charging” phenomenon. The oil-in-water droplets produced by the flow focusing are in the main flow channels with oppositely charged electrodes and across the channels that generate electric fields. When the charged droplets pass through this section, the different properties induced by the charge or switching between ions can achieve the sorting effect. Thomas et al. [20] used microelectrode array dielectrophoresis to flow through microfluidic channels to sort individual fluorescently labeled cells and particles. As shown in Figure 1a, a negative dielectric is used to create a “dielectrophoretic virtual channel” microfluidic channel extending along the center of the cell. The dielectrophoretic virtual channel is extended to any number of sorted outputs, and two alternative geometries are designed, simulated, and experimentally verified. By switching the polarity of the electrodes, the virtual channel can dynamically reconfigure the direct portions on different paths, and then classify the particles into two microfluidic streams that are streamed out from different outlets. The entire process is controlled by an automated system. Experimental results that the device is suitable for the separation of high-purity single particles. Based on a flow rate of 60 nl/min, the separation rate reaches 100% and the speed is up to 0.9 particles per second. In addition, it is also suitable for the separation of osteosarcoma and human bone marrow cells. However, the separation flux is small and cannot reach the flux of similar devices, and the electrode can be redesigned for improvement.
![Figure 1 (a) Photograph of the microfluidic device and electrodes, and an enlarged view of the microfluidic channel area. Adapted permission from [20]. Copyright 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. (b) Schematic illustration of the device structure and its working principle showcased by particles (yellow and red) under positive- and negative-DEP. Adapted permission from [48]. Copyright 2020 the Royal Society of Chemistry.](/document/doi/10.1515/rams-2020-0044/asset/graphic/j_rams-2020-0044_fig_001.jpg)
(a) Photograph of the microfluidic device and electrodes, and an enlarged view of the microfluidic channel area. Adapted permission from [20]. Copyright 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. (b) Schematic illustration of the device structure and its working principle showcased by particles (yellow and red) under positive- and negative-DEP. Adapted permission from [48]. Copyright 2020 the Royal Society of Chemistry.
As shown in Figure 1b, Zhang et al. [48] demonstrated a new type of microfluidic nDEP sorting device, which is composed of 3D electrodes and a fluid structure integrated with silver-polydimethylsiloxane (PDMS) composite materials. The unique two-layer electrode forms a non-uniform electric field, which is convenient to capture the target cells drifting upward and improves the sorting efficiency. Experiments have shown that in the process of separating live/dead Hela cells, when the flow rate is 0.3 ml/h, the separation efficiency of live cells can reach 95.4%, and the purity can reach 85.6%. K. Tatsumi et al. [49] researched a device that manipulates and sorts particles by dielectric (DEP) force. This device is composed of electrode regions of different shapes. Trapezoidal and orbital electrodes can capture particles with nDEP in the central area of the electrode. Trapezoidal electrodes allow particles to be arranged at equal intervals in the direction of their flow, while flip-over electrodes can separate particles and combine these electrodes to improve particle separation efficiency.
2.2 Acoustrophoresis sorting
Acoustrophoresis means that the motion of an object changes with the change of sound pressure. In recent years, the development of acoustic microfluidics has proposed a new research direction for the sorting of microfluidics. Acoustics can provide fast and accurate indications. Scattered sound waves were first applied to cell sorting by Johansson et al. and have since been followed by more and more scholars. Ding et al. [50] research shows that standing surface acoustic wave (SSAW) devices can be used as acoustic tweezers to manipulate cells and nematodes. Adjust the particle displacement by changing the pressure node of the target particle. As shown in Figure 2a, L. Ren et al. [51] designed an acoustic sorting system based on the SSAW method, which has the advantages of simplicity and high integration. At a flow rate of 2500 particles per second, the separation purity of the sample can reach more than 90%, and the separation efficiency can reach 94.9%±2.0%. The cell viability after sorting is basically unaffected, and it has excellent sorting performance in achieving high throughput and ensuring cell viability. Although its sorting speed is inferior to commercial fluorescence-activated droplet sorting (FADS), it has the advantages of small size, high biosecurity and biocompatibility. In Figure 2b, Chen et al. [52] designed a micro-flow cytometer based on SSAW, which can clearly identify two sets of different particles. The system can be used to focus and measure cells, showing a certain applicability to biological samples. In Figure 2c, Li et al. [23] designed a new type of FADS system that uses highly focused surface acoustic waves (HFSAW) with a width of approximately 50 μm to sort single cells and droplets. Acoustic waves are partially coupled in the microchannel, and the separation of cells and droplets is achieved by the micropillar waveguide structure between the channel and the interdigital transducer (IDT). The IDT in this sonic sorting device can be reused, and can achieve rapid separation of single particles. The separation purity is higher than 90% and the separation rate can reach 1 kHz. Moreover, the sorting range of the particles can be reduced to the sub-micron size, which greatly expands the demand for sorting sub-micron particles. However, sorting on the sub-micron scale is too dependent on the fluorescent signal and still has certain challenges.
![Figure 2 (a) Schematically shows the integrated SSAW-based FACS. Adapted permission from [51]. Copyright 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. (b) Schematic of the SSAW-based microfluidic cytometer. A microfluidic device is integrated with a LIF detection system. Adapted permission from [52]. Copyright 2013 the Royal Society of Chemistry. (c) Experimental setup of the fluorescence-activated droplet sorting (FADS) system. Adapted permission from [23]. Copyright 2019 American Chemical Society.](/document/doi/10.1515/rams-2020-0044/asset/graphic/j_rams-2020-0044_fig_002.jpg)
(a) Schematically shows the integrated SSAW-based FACS. Adapted permission from [51]. Copyright 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. (b) Schematic of the SSAW-based microfluidic cytometer. A microfluidic device is integrated with a LIF detection system. Adapted permission from [52]. Copyright 2013 the Royal Society of Chemistry. (c) Experimental setup of the fluorescence-activated droplet sorting (FADS) system. Adapted permission from [23]. Copyright 2019 American Chemical Society.
2.3 Magnetic sorting
Currently, we can use magnetic fields to control microfluidics. The main advantage of magnetic control is that it is easy to operate and can achieve wireless control of droplets. However, magnetrons have certain limitations. First, they can only classify the fluid system of magnetic materials. Another disadvantage of magnetic sorting is that the response speed is slow, and the switching frequency is usually about a few hertz or lower. Droplet magnetic manipulation can be categorized according to the type of magnet used, typically an electromagnet or permanent magnet. The electromagnet is simple to operate and its field strength can be adjusted with the applied current. However, when the current is too high, the electromagnet generates excessive heat, which may be harmful to the thermosensitive biological reaction. The performance of permanent magnets is generally superior to that of electromagnet microfluidic platforms. Since Surenjav et al. [53] introduced electromagnets into microfluidic platforms for droplet sorting in 2009, magnetic sorting has been used in large numbers. They use ferrofluids as a continuous phase to support magnetic sorting. When the ferrofluid system flows through the microchannels, they will split into different microfluidics according to the flow conditions and channel geometry. By applying an uneven magnetic field on both sides of the microtube. The non-uniform magnetic field causes the ferromagnetic fluid to face a stronger magnetic field, causing the lower branch of the ferromagnetic fluid, thereby achieving sorting of the droplets. The droplets enter the device one by one to avoid interference, and in the vicinity of the orbit, the magnetic field gradient increases sharply, thereby attracting the droplets containing the magnetic beads into the orbit. Li et al. [54] use a permanent magnet magnetic fluid to manipulate the droplets, which is different from the above case in that the ferrofluid acts as a dispersed phase. By separating the water-based ferrofluid droplets at the T-junction and directing them to the bifurcation for sorting, based on this behavior, larger droplets can be sorted. Shi et al. [55] designed a wavy-herringbone (wavy-HB) structured microfluidic device (Figure 3a), which captures circulating tumor cells (CTCs) by adding specific antibodies on the surface of magnetic particles (MPs). The coverage rate of MPs is 1.664 mg/h, the flow rate of the cell suspension is 540 ml/h, and the capture efficiency can reach 92%±2.8%. The cell regeneration ability after sorting is similar to the original cells, indicating that the device has almost no effect on cell activity. As shown in Figure 3b, scholars have designed a viable separation platform based on the microfluidic magnetophoretic cell separation platform, which can efficiently separate rare cell populations from whole blood samples [56], experiments show that the platform can directly isolate 50 MCF-7 cells from whole blood at a flux of 240 μl/min, with a collection efficiency greater than 85% and a purity exceeding 90%. This method can achieve the simultaneous sorting of two kinds of cells, and the efficiency reaches more than 96%. Compared with other magnetic separation methods, it is simple to operate and can perform simultaneous separation, but it still needs further improvement in terms of flux. Buryk-Iggers et al. [57] has developed a novel microfluidic reverse magnetic separation method that encapsulates cells inside droplets to isolate the cells from the magnetic continuity.
2.4 Optical Sorting
Radiation forces generated by highly concentrated light have been applied to microfluidic sorting. The focused laser beam produces light scattering and gradient forces between cells due to different refractive indices. Gradient force can focus cells or droplets to produce optical tweezers. Sorting can be achieved by using a focused beam to apply different radiant forces on the cells. Brzobohatý et al. [58] developed a fluorescence-based pulsed laser cell sorter that can achieve cell sorting. Some scholars have introduced a geometry that produces a “traction beam”. Experiments showed that in addition to pulling particles, the two-dimensional motion and one-dimensional ordering can be manipulated by the polarization rotation of the linearly polarized incident beam. Xu et al. [59] demonstrated that the use of single-wavelength excited multi-step waveguide splitters in nanofluidic systems can achieve multi-level separation of dielectric nanoparticles. Under the excitation of optical force, nanoparticles of different sizes can be classified and derived from different ports. As shown in Figure 4a, Sun et al. [60] developed a large lensless chip trap (OTOC). When the particles pass through the optical lattice generated by OTOC, the flow direction of the particles is strongly deflected, this deflection is caused by the interaction of the optical gradient force with the external driving force in the laminar flow. When the laser output power is 800 mW, the mixed particles of two sizes are uniformly translated through the optical lattice at a speed of about 10 μms. The particles with large sizes are obviously deflected, but the small particles have not deviated from the original direction of movement. Therefore, it is possible to sort mixed particles of different sizes. But the sorting efficiency is poor, and the input power of the laser also needs further study. The use of optics and fluid dynamics can realize the classification of nanoparticles (NPs), the laser beam separates the NPs restricted by hydrodynamic focus. Wu et al. [61] realized the sorting of NPs of different sizes as seen in Figure 4b. For the 50/100 nm NPs combination, the sorting purity is ≥ 92%, for the 100/200 nm group, the sorting purity is ≥ 86%, and the sorting throughput is 300 particles/min. For the sorting of gold nanoparticles with a small size difference (50 nm and 70 nm), the throughput rate is lower than 100 particles/min. This has promoted the development of nanoparticle processing technology. Nan and Yan [62] designed an adjustable photofluidic potential well for nano-processing through the combination of optical phase gradient force and fluid resistance, which improved the resolution of the device (Figure 4c). When the laser power is 400 mW and the fluid velocity is about 175 μm/s, the optical trap with adjustable phase gradient is used to sort 80 nm and 100 nm Au NPs. And through further simulation, it can be predicted that this device can achieve sub-50 nm NPs optical sorting with a super-resolution of 1 nm.
![Figure 4 (a) Schematic of the OTOC system. Adapted permission from [60]. Copyright 2007 AIP Publishing. (b) Schematic of the sorting process of nanoparticles with different radii in fluid. Adapted permission from [61]. Copyright 2016 American Chemical Society. (c) Schematic of the trapping of a single Ag NP in the optical line near the PDMS surface. Adapted permission from [62]. Copyright 2018 American Chemical Society.](/document/doi/10.1515/rams-2020-0044/asset/graphic/j_rams-2020-0044_fig_004.jpg)
(a) Schematic of the OTOC system. Adapted permission from [60]. Copyright 2007 AIP Publishing. (b) Schematic of the sorting process of nanoparticles with different radii in fluid. Adapted permission from [61]. Copyright 2016 American Chemical Society. (c) Schematic of the trapping of a single Ag NP in the optical line near the PDMS surface. Adapted permission from [62]. Copyright 2018 American Chemical Society.
3 Passive sorting
3.1 Inertial
In addition to the above-mentioned methods of using an external pump for sorting, the separation of droplets can also be achieved depending on the fluid properties of the microfluidics and the geometry of the microchannels. Inertial force can deviate cells and particles from the original flow direction, Huh et al. [63] combined the fluid dynamics with the inertia of the droplets to separate the microorganisms and droplets. In this method, the gravity of the earth is used to drive the flow of the fluid, and the positional deposition difference is induced by the microchannel. As shown in Figure 5a, this separation of hydrodynamic amplification can more effectively separate particles, so as to achieve the separation of small-size (less than 6μm) microfluidics, and the separation purity of the sample can reach 99.9% in one minute. It is a quick and simple separation method. However, this gravity separation device is only suitable for the separation of particles with large size differences, and the separation flux is small, which is not suitable for the separation of batch samples. For other mixed particles, it is necessary to further expand the hydrodynamic effect and optimize the microchannel structure, such as adding parallel channels to achieve high throughput. Shen et al. [64] designed an inertial microfluidic system based on micro-spiral channels as seen in Figure 5b. Under high throughput (3 ml/min), the separation purity of samples is ≥ 96%. In addition, the device can be recycled for a long time (at least 4 hours) and has less damage to cells. Gou et al. [65] proposed an inertial microfluidic chip containing spiral channels with a periodic expansion structure as seen in Figure 5c. The experimental results show that when the flux is 750 μl/min, more than 99% of the target particles can be separated, and the purity of the target sample is as high as 86.12%.
![Figure 5 (a) Mass-dependent particle separation based on hydrodynamic amplification of sedimentation-driven particle separation in μ-SOHSA. Adapted with permission from [63]. Copyright 2007 American Chemical Society. (b) Configuration of the microfluidic device containing either dimension-confined spiral channel. Adapted permission from [64]. Copyright 2017 the Royal Society of Chemistry. (c) Spiral channel chip with expansion structures. Adapted with permission from [65]. Copyright 2020 American Chemical Society.](/document/doi/10.1515/rams-2020-0044/asset/graphic/j_rams-2020-0044_fig_005.jpg)
(a) Mass-dependent particle separation based on hydrodynamic amplification of sedimentation-driven particle separation in μ-SOHSA. Adapted with permission from [63]. Copyright 2007 American Chemical Society. (b) Configuration of the microfluidic device containing either dimension-confined spiral channel. Adapted permission from [64]. Copyright 2017 the Royal Society of Chemistry. (c) Spiral channel chip with expansion structures. Adapted with permission from [65]. Copyright 2020 American Chemical Society.
3.2 Deterministic lateral displacement
Deterministic Lateral Displacement (DLD) sets up a series of periodically arranged obstacles, and uses the laminar flow characteristics of particles to follow through their center of mass, which can realize particle separation based on size when the fluid passes. As shown in Figure 6a, Liu et al. [66] used a DLD array to achieve rapid and label-free separation of cancer cells. The efficiency of sorting at a speed of 2 ml/min is higher than 80%. The throughput can reach 10 ml/min with 5 parallel channels. Chien et al. [36] used a DLD device with a circular column to simulate the mesoscopic fluid dynamics of red blood cells (RBC), and then introduced the interaction between the cell behavior in the complex microfluidic flow and the classification capabilities of the device. Holm et al. [67] designed a simple and low-cost microfluidic separation system based on DLD (Figure 6). It is possible to separate the parasites from the blood. Thinning the equipment and adding parallel outlets can increase the sorting throughput from 1 nl/min to 1 μl/min. Tottori et al. [68] produced two DLD devices as seen in Figure 6c, one with a low aspect ratio straight rectangular channel for inertial focusing of particles, and the other with a high aspect ratio straight rectangular channel for focusing on the sidewall of particles. When the flow rate is 3 ml/min, the sorting efficiency of 13 and 7 μm magnetic beads are 99.4% and 96.4% respectively, and the corresponding purity can reach 95.9% and 99.5%. The first device is used in the cell sorting process, and the sorting efficiency reaches 99% when the flow rate is 5 ml/min.
![Figure 6 (a) Schematic illustration of the microfluidic DLD design for cancer cell isolation from blood. Adapted permission from [66]. Copyright 2007 AIP Publishing. (b) Overview of DLD device. Adapted permission from [67]. Copyright 2011 the Royal Society of Chemistry. (c) Sheath-free DLD separation with inertial focusing in a straight rectangular input channel. Adapted with permission from [68]. Copyright 2020 the Royal Society of Chemistry.](/document/doi/10.1515/rams-2020-0044/asset/graphic/j_rams-2020-0044_fig_006.jpg)
(a) Schematic illustration of the microfluidic DLD design for cancer cell isolation from blood. Adapted permission from [66]. Copyright 2007 AIP Publishing. (b) Overview of DLD device. Adapted permission from [67]. Copyright 2011 the Royal Society of Chemistry. (c) Sheath-free DLD separation with inertial focusing in a straight rectangular input channel. Adapted with permission from [68]. Copyright 2020 the Royal Society of Chemistry.
3.3 Microfiltrationz
Crowley et al. [69] showed that a cross-flow microfilter device operated entirely under capillary action performs microfluidic separation of plasma in whole blood (Figure 7a). There is no obvious damage to the hemoglobin and red blood cells of the cells sorted by the flat microfilter. In addition, no cells and cell debris were observed in the filtrate. As shown in Figure 7b, Chen et al. [70] developed a microfluidic chip for separating plasma through stepwise filtration. The chip consists of a front-end cell capture structure and a back-end filter. Two types of filters are proposed: straight and square filters. In the chip with a linear filter, with a gap of 2 μm and a dilution factor of 10, the separation efficiency is low (only 20%). In the case of a gap of 1 μm and a dilution factor of 50, the separation efficiency is increased to 91%. In the chip with a square filter, with a 1 μm gap and a dilution factor of 20, the separation efficiency is close to 100%. Li et al. [71] designed and manufactured poly(dimethylsiloxane) (PDMS) microfiltration membrane (PMM) (Figure 7c), which can sort white blood cells from whole blood. When the sample throughput is 1 ml/h, the sorting chip can recover 27.4±4.9% white blood cells with a purity of 93.5±0.5%. When sorting beads (3 microns and 11 microns), the sorting purity of 3 microns beads at a flux of 2 ml/h is 97.3±0.5%. The PMM can be used as a standard cell sorting component for upstream sample preparation in a highly integrated single-chip blood system in the future.
![Figure 7 (a) Microporous membrane filtration of whole blood utilizing cross flow filtration. Adapted permission from [69]. Copyright 2005 the Royal Society of Chemistry. (b) Overview of DLD device. Adapted permission from [70]. Copyright 2014 Elsevier B.V. All rights reserved. (c) Schematic showing the PDMS microfluidic device structure and the principle of crossflow filtration. Adapted with permission from [71]. Copyright 2014 the Royal Society of Chemistry.](/document/doi/10.1515/rams-2020-0044/asset/graphic/j_rams-2020-0044_fig_007.jpg)
(a) Microporous membrane filtration of whole blood utilizing cross flow filtration. Adapted permission from [69]. Copyright 2005 the Royal Society of Chemistry. (b) Overview of DLD device. Adapted permission from [70]. Copyright 2014 Elsevier B.V. All rights reserved. (c) Schematic showing the PDMS microfluidic device structure and the principle of crossflow filtration. Adapted with permission from [71]. Copyright 2014 the Royal Society of Chemistry.
4 Conclusion
This article reviews the research progress and development status of microfluidic separation technology. According to the use of external force field, it is divided into active separation system and passive separation system. For the active classification system, four external electric field forces are described and discussed, namely electricity, sound, magnetism and light. For active sorting systems, the sorting methods are mainly discussed, such as inertia, deterministic lateral displacement and microfiltration. The microfluidic method consumes fewer samples and reagents, thus reducing biohazard waste and reducing the risk of contamination.
Although microfluidic devices provide encouraging advantages, there are still some technical barriers that need to be overcome. Due to the unity of channel size, many devices have poor throughput. Parallel microchannels can be set to effectively solve this problem. Secondly, due to the small size of the microfluidic chip, it is prone to blockage and shorten the service life of the chip. Third, the preparation process and cost of the microfluidic chip also limit the commercialization of the sorting technology. We hope that new technologies (such as 3D printing technology) can reduce the cost of chip preparation or modify methods to overcome this problem.
Acknowledgement
This research was financially support by the Shenzhen Science and Technology Plan Project under Grants number JCYJ20170413102735544, JCYJ20170412171856582, Shenzhen Peacock Plan (KQTD201507161644225), the Natural Science Foundation of Guangdong Province, China (2015A030313889) and Natural Science Foundation of China (No. 21863008) for financial support and funding.
Funding information:
This research was financially support by the Shenzhen Science and Technology Plan Project under Grants number JCYJ20170413102735544, JCYJ20170412171856582, Shenzhen Peacock Plan 45 (KQTD201507161644225), the Natural Science Foundation of Guangdong Province, China (2015A030313889) and Natural Science Foundation of China (No. 21863008) for financial support and funding.
Conflict of interest:
Authors state no conflict of interest.
References
[1] Di Carlo, D. A mechanical biomarker of cell state in medicine. Journal of Laboratory Automation, Vol. 17 No. 1, 2012, pp. 32–42.10.1177/2211068211431630Search in Google Scholar PubMed
[2] Antfolk, M. and T. Laurell. Continuous flow microfluidic separation and processing of rare cells and bioparticles found in blood – A review. Analytica Chimica Acta, Vol. 965, 2017, pp. 9–35.10.1016/j.aca.2017.02.017Search in Google Scholar PubMed
[3] Shields, C. W., C. D. Reyes, and G. P. López. Microfluidic cell sorting: a review of the advances in the separation of cells from debulking to rare cell isolation. Lab on a Chip, Vol. 15, No. 5, pp. 1230–1249.10.1039/C4LC01246ASearch in Google Scholar PubMed PubMed Central
[4] Ren, L., Y. Chen, P. Li, Z. Mao, P. H. Huang, J. Rufo, et al. A high-throughput acoustic cell sorter. Lab on a Chip, Vol. 15, No. 19, 2015, pp. 3870–3879.10.1039/C5LC00706BSearch in Google Scholar PubMed PubMed Central
[5] Wu, J., Q. Chen, and J.-M. Lin. Microfluidic technologies in cell isolation and analysis for biomedical applications. Analyst, Vol. 142, No. 3, pp. 421–441.10.1039/C6AN01939KSearch in Google Scholar
[6] Kuan, D.-H., C. C. Wu, W. Y. Su, and N. T. Huang. A microfluidic device for simultaneous extraction of plasma, red blood cells, and on-chip white blood cell trapping. Scientific Reports, Vol. 8, 2018, id. 15345.10.1038/s41598-018-33738-8Search in Google Scholar PubMed PubMed Central
[7] Lombardi, D. and P. S. Dittrich. Droplet microfluidics with magnetic beads: a new tool to investigate drug-protein interactions. Analytical and Bioanalytical Chemistry, Vol. 399, No. 1, 2011, pp. 347–352.10.1007/s00216-010-4302-7Search in Google Scholar PubMed
[8] Sur, S. and J. Rothstein. Drop breakup dynamics of dilute polymer solutions: Effect of molecular weight, concentration, and viscosity. Journal of Rheology, Vol. 62, 2018, pp. 1245–1259.10.1122/1.5038000Search in Google Scholar
[9] Seo, K.W., H. J. Byeon, H. K. Huh, and S. J. Lee. Particle migration and single-line particle focusing in microscale pipe flow of viscoelastic fluids, Vol. 4, No. 7, 2014, pp. 3512–3520.10.1039/C3RA43522ASearch in Google Scholar
[10] Lu, X. and X. Xuan. Continuous Microfluidic Particle Separation via Elasto-Inertial Pinched Flow Fractionation. Analytical Chemistry, Vol. 87, No. 12, pp. 6389–6396.10.1021/acs.analchem.5b01432Search in Google Scholar PubMed
[11] Kim, J. -Y. and D. O’Hare. Monolithic nano-porous polymer in microfluidic channels for lab-chip liquid chromatography. Nano Convergence, Vol. 5, 2018, id. 19.10.1186/s40580-018-0151-4Search in Google Scholar PubMed PubMed Central
[12] Kim, C. -J., J. Park, V. Sunkara, T. -H. Kim, Y. Lee, K. Lee et al. Fully automated, on-site isolation of cfDNA from whole blood for cancer therapy monitoring. Lab on a Chip, Vol. 18, No. 9, 2018, pp. 1320–1329.10.1039/C8LC00165KSearch in Google Scholar
[13] McGrath, J., C. Honrado, D. Spencer, B. Horton, H. Bridle, and H. Morgan. Analysis of parasitic protozoa at the single-cell level using microfluidic impedance cytometry. Scientific reports, Vol. 7, 2017, id. 2601.10.1038/s41598-017-02715-ySearch in Google Scholar PubMed PubMed Central
[14] Reátegui, E., N. Aceto, E. J. Lim, J. P. Sullivan, A. E. Jensen, M. Zeinali, et al. Nanostructured coating for immunoaffinity capture and selective release of single circulating tumor cells. Advanced Materials, Vol. 27, No. 9, 2015, pp. 1593–1599.10.1002/adma.201404677Search in Google Scholar PubMed PubMed Central
[15] Jung, H., M. -S. Chun, and M. -S. Chang. Sorting of human mesenchymal stem cells by applying optimally designed microfluidic chip filtration. Analyst, Vol. 140, No. 4, 2015, pp. 1265–1274.10.1039/C4AN01430HSearch in Google Scholar PubMed
[16] Mashaghi, S., A. Abbaspourrad, D. A. Weitz, and A. M. van Oijen. Droplet microfluidics: a tool for biology, chemistry and nanotechnology. Trends in Analytical Chemistry, Vol. 82, 2016, pp. 118–125.10.1016/j.trac.2016.05.019Search in Google Scholar
[17] Devendran, C., N. R. Gunasekara, D. J. Collins, and A. Neild. Batch process particle separation using surface acoustic waves (SAW): integration of travelling and standing SAW. RSC Advances, Vol. 6, No. 7, 2016, pp. 5856–5864.10.1039/C5RA26965BSearch in Google Scholar
[18] Zhu, T., D. J. Lichlyter, M. A. Haidekker, and L. Mao. Analytical model of microfluidic transport of non-magnetic particles in ferrofluids under the influence of a permanent magnet. Microfluidics and Nanofluidics, Vol. 10, 2011, pp. 1233–1245.10.1007/s10404-010-0754-5Search in Google Scholar
[19] An, J., J. Lee, S. H. Lee, J. Park, and B. Kim. Separation of malignant human breast cancer epithelial cells from healthy epithelial cells using an advanced dielectrophoresis-activated cell sorter (DACS). Analytical and Bioanalytical Chemistry, Vol. 394, 2009, pp. 801–809.10.1007/s00216-009-2743-7Search in Google Scholar PubMed
[20] Thomas, R. S. W., P. D. Mitchell, R. O. C. Oreffo, H. Morgan and N.G. Green. Image-based sorting and negative dielectrophoresis for high purity cell and particle separation. Electrophoresis, Vol. 40, No. 20, 2019, pp. 2718–2727.10.1002/elps.201800489Search in Google Scholar PubMed
[21] Hattori, A. and K. Yasuda. Comprehensive study of microgel electrode for on-chip electrophoretic cell sorting. Japanese Journal of Applied Physics, Vol. 49, No. 6, 2010, id. 06GM04.10.1143/JJAP.49.06GM04Search in Google Scholar
[22] Wang, K., W. Zhou, Z. Lin, F. Cai, F. Li, J. Wu et al. Sorting of tumour cells in a microfluidic device by multi-stage surface acoustic waves. Sensors and Actuators B: Chemical, Vol. 258, 2018, pp. 1174–1183.10.1016/j.snb.2017.12.013Search in Google Scholar
[23] Li, P., Z. Ma, Y. Zhou, D. J. Collins, Z. Wang, and Y. Ai. Detachable acoustophoretic system for fluorescence-activated sorting at the single-droplet level. Analytical Chemistry, Vol. 91, No. 15, 2019, pp. 9970–9977.10.1021/acs.analchem.9b01708Search in Google Scholar PubMed
[24] Vallejo, D., A. Nikoomanzar, B. M. Paegel, and J.C. Chaput. Fluorescence-activated droplet sorting for single-cell directed evolution. ACS Synthetic Biology, Vol. 8, No. 6, 2019, pp. 1430–1440.10.1021/acssynbio.9b00103Search in Google Scholar PubMed PubMed Central
[25] Gómez-Pastora, J., I. H. Karampelas, E. Bringas, E. P. Furlani, and I. Ortiz. Numerical analysis of bead magnetophoresis from flowing blood in a continuous-flow microchannel: Implications to the bead-fluid interactions. Scientific reports, Vol. 9, No. 1, 2019, id. 7265.10.1038/s41598-019-43827-xSearch in Google Scholar PubMed PubMed Central
[26] Kye, H. G., B. S. Park, J. M. Lee, M. G. Song, H. G. Song, C. D. Ahrberg, et al. Dual-neodymium magnet-based microfluidic separation device. Scientific Reports, Vol. 9, 2019, id. 950210.1038/s41598-019-45929-ySearch in Google Scholar PubMed PubMed Central
[27] Gnyawali, V., M. Saremi, M. C. Kolios, and S. S. H. Tsai. Stable microfluidic flow focusing using hydrostatics. Biomicrofluidics, Vol. 11, 2017, id. 034104.10.1063/1.4983147Search in Google Scholar PubMed PubMed Central
[28] Furlani, E. P. Continuous magnetosphoretic separation of blood cells from plasma at the microscale. Journal of Physics D: Applied Physics, Vol. 40, No. 5, id. 1313.10.1088/0022-3727/40/5/001Search in Google Scholar
[29] MacDonald, M. P., G. C. Spalding, and K. Dholakia. Microfluidic sorting in an optical lattice. Nature, Vol. 426, 2003, pp. 421–424.10.1038/nature02144Search in Google Scholar PubMed
[30] Landenberger, B., H. Hofemann, S. Wadle, and A. Rohrbach. Microfluidic sorting of arbitrary cells with dynamic optical tweezers. Lab on a Chip, Vol. 12, No. 17, 2012, pp. 3177–3183.10.1039/c2lc21099aSearch in Google Scholar PubMed
[31] Wu, Z., B. Willing, J. Bjerketorp, J. K. Jansson, and K. Hjort. Soft inertial microfluidics for high throughput separation of bacteria from human blood cells. Lab on a Chip, Vol. 9, No. 9, 2009, pp. 1193–1199.10.1039/b817611fSearch in Google Scholar PubMed
[32] Goda, K., A. Ayazi, D.R. Gossett, J. Sadasivam, C.K. Lonappen, E. Sollier, et al. High-throughput single-microparticle imaging flow analyzer. Proceedings of the National Academy of Sciences of the United States of America, Vol. 109, No. 29, 2012, pp. 11630–11635.10.1073/pnas.1204718109Search in Google Scholar PubMed PubMed Central
[33] Chun B. and M.-S. Chun. Effects of channel aspect ratio on microfluidic-chip design of hydrodynamic filtration for particle sorting. Journal of Physics D: Applied Physics, Vol. 52, No. 22, 2019, id. 225301.10.1088/1361-6463/ab0d78Search in Google Scholar
[34] Liu, G., F. He, Y. Li, H. Zhao, X. Li, H. Tang, et al. Effects of two surface acoustic wave sorting chips on particles multi-level sorting. Biomedical Microdevices, Vol. 21, 2019, id. 59.10.1007/s10544-019-0419-4Search in Google Scholar PubMed
[35] Terazono, H., M. Hayashi, H. Kim, A. Hattori, and K. Yasuda. Cell-sorting system with on-chip imaging for label-free shape-based selection of cells. Japanese Journal of Applied Physics, Vol. 51, No. 6S, 2012, id. 06FK08.10.7567/JJAP.51.06FK08Search in Google Scholar
[36] Chien, W., Z. Zhang, G. Gompper, and D.A. Fedosov. Deformation and dynamics of erythrocytes govern their traversal through microfluidic devices with a deterministic lateral displacement architecture. Biomicrofluidics, Vol. 13, No. 4, 2019, id. 044106.10.1063/1.5112033Search in Google Scholar PubMed PubMed Central
[37] Li, S., M. Li, K. Bougot-Robin, W. Cao, I. Yeung Yeung Chao, W. Li, et al. High-throughput particle manipulation by hydrodynamic, electrokinetic, and dielectrophoretic effects in an integrated microfluidic chip. Biomicrofluidics, Vol. 7, No. 2, 2013, id. 24106.10.1063/1.4795856Search in Google Scholar PubMed PubMed Central
[38] Chen, Y., T.-H. Wu, Y.-C. Kung, M.A. Teitell, and P.-Y. Chiou. 3D pulsed laser-triggered high-speed microfluidic fluorescence-activated cell sorter. Analyst, Vol. 138, No. 24, 2013, pp. 7308–7315.10.1364/CLEO_SI.2013.CM1M.3Search in Google Scholar
[39] Dalili, A., E. Samiei, and M. Hoorfar. A review of sorting, separation and isolation of cells and microbeads for biomedical applications: microfluidic approaches. Analyst, Vol. 144, No. 1, 2019, pp. 87–113.10.1039/C8AN01061GSearch in Google Scholar
[40] Wyatt Shields IV, C., C.D. Reyes, and G.P. López. Microfluidic cell sorting: A review of the advances in the separation of cells from debulking to rare cell isolation. Lab on a Chip, Vol. 15, No. 5, 2015, pp. 1230–1249.10.1039/C4LC01246ASearch in Google Scholar PubMed PubMed Central
[41] Zhang, J., S. Yan, W. Li, G. Alici, and N.-T. Nguyen. High throughput extraction of plasma using a secondary flow-aided inertial microfluidic device. RSC Advances, Vol. 4, No. 63, 2014, pp. 62076–62085.10.1039/C4RA06513ASearch in Google Scholar
[42] Luo, T., L. Fan, Y. Zeng, Y. Liu, S. Chen, Q. Tan et al. A simplified sheathless cell separation approach using combined gravitational-sedimentation-based prefocusing and dielectrophoretic separation. Lab on a Chip, Vol. 18, No. 11, 2018, pp. 1521–1532.10.1039/C8LC00173ASearch in Google Scholar
[43] Xi, H. -D., H. Zheng, W. Guo, A. M. Gañán-Calvo, Y. Ai, C.-W. Tsao. Active droplet sorting in microfluidics: a review. Lab on a Chip, Vol. 17, No. 5, 2017, pp. 751–771.10.1039/C6LC01435FSearch in Google Scholar PubMed
[44] Lenshof, A. and T. Laurell. Continuous separation of cells and particles in microfluidic systems. Chemical Society Reviews, Vol. 39, No. 3, 2010, pp. 1203–1217.10.1039/b915999cSearch in Google Scholar PubMed
[45] Voldman, J. Electrical forces for microscale cell manipulation. Annual Review of Biomedical Engineering, Vol. 8, 2006, pp. 425–454.10.1146/annurev.bioeng.8.061505.095739Search in Google Scholar PubMed
[46] Wang, L., L. A. Flanagan, N. L. Jeon, E. Monuki, and A.P. Lee. Dielectrophoresis switching with vertical sidewall electrodes for microfluidic flow cytometry. Lab on a Chip, Vol. 7, No. 9, 2007, pp. 1114–1120.10.1039/b705386jSearch in Google Scholar PubMed PubMed Central
[47] Guo, F., X. -H. Ji, K. Liu, R. -X. He, L. -B. Zhao, Z. -X. Guo, et al. Droplet electric separator microfluidic device for cell sorting. Applied Physics Letters, Vol. 96, No. 19, 2010, id. 193701.10.1063/1.3360812Search in Google Scholar
[48] Zhang, Z., Y. Luo, X. Nie, D. Yu, and X. Xing. A one-step molded microfluidic chip featuring a two-layer silver-PDMS microelectrode for dielectrophoretic cell separation. Analyst, Vol. 145, No. 16, 2020, pp. 5603–5614.10.1039/D0AN01085ESearch in Google Scholar
[49] Tatsumi, K., K. Kawano, H. Okui, H. Shintani, and K. Nakabe. Analysis and measurement of dielectrophoretic manipulation of particles and lymphocytes using rail-type electrodes. Medical Engineering & Physics, Vol. 38, No. 1, 2016, pp. 24–32.10.1016/j.medengphy.2015.05.005Search in Google Scholar PubMed
[50] Ding, X., S.C. Lin, B. Kiraly, H. Yue, S. Li, I.K. Chiang, et al. On-chip manipulation of single microparticles, cells, and organisms using surface acoustic waves. Proceedings of the National Academy of Sciences of the United States of America, Vol. 109, No. 28, 2012, pp. 11105–11109.10.1073/pnas.1209288109Search in Google Scholar PubMed PubMed Central
[51] Ren, L., S. Yang, P. Zhang, Z. Qu, Z. Mao, P.-H. Huang, et al. Standing surface acoustic wave (SSAW)-based fluorescence-activated cell sorter. Small, Vol. 14, No. 40, 2018, id. e1801996.10.1002/smll.201801996Search in Google Scholar PubMed PubMed Central
[52] Chen, Y., A. A. Nawaz, Y. Zhao, P. -H. Huang, J. P. McCoy, S. J. Levine et al. Standing surface acoustic wave (SSAW)-based microfluidic cytometer. Lab on a Chip. Vol 14, No. 5, 2014, pp. 916–923.10.1039/C3LC51139ASearch in Google Scholar
[53] Evans, H.M., E. Surenjav, C. Priest, S. Herminghaus, R. Seeman, and T. Pfohl. In situ formation, manipulation, and imaging of droplet-encapsulated fibrin networks. Lab on a Chip, Vol. 9, No. 13, 2009, pp. 1933–1941.10.1039/b820511fSearch in Google Scholar PubMed
[54] Li, H., Y. Wu, X. Wang, C. Zhu, T. Fu, Y. Ma. Magnetofluidic control of the breakup of ferrofluid droplets in a microfluidic Y-junction. RSC Advances, Vol. 6, No. 1, 2016, pp. 778–785.10.1039/C5RA21802KSearch in Google Scholar
[55] Shi, W., S. Wang, A. Maarouf, C. G. Uhl, R. He, D. Yunus et al. Magnetic particles assisted capture and release of rare circulating tumor cells using wavy-herringbone structured microfluidic devices. Lab on a Chip, Vol. 17, No. 19, 2017, pp. 3291–3299.10.1039/C7LC00333ASearch in Google Scholar PubMed
[56] Plouffe, B. D., M. Mahalanabis, L. H. Lewis, C. M. Klapperich, and S. K. Murthy. Clinically relevant microfluidic magnetophoretic isolation of rare-cell populations for diagnostic and therapeutic monitoring applications. Analytical Chemistry, Vol. 84, No. 3, 2012, pp. 1336–1344.10.1021/ac2022844Search in Google Scholar PubMed
[57] Buryk-Iggers, S., J. Kieda, S.S.H. Tsai. Diamagnetic droplet microfluidics applied to single-cell sorting. AIP Advances, Vol. 9, No. 7, 2019, id. 075106.10.1063/1.5095884Search in Google Scholar
[58] Brzobohatý, O., V. Karásek, M. Šiler, L. Chvátal, T. Čižmár, P. Zemánek. Experimental demonstration of optical transport, sorting and self-arrangement using a ‘tractor beam’. Nature Photonics, Vol. 7, 2013, pp. 123–127.10.1038/nphoton.2012.332Search in Google Scholar
[59] Xu, X., G. Wang, W. Jiao, W. Ji, M. Jiang, and X. Zhang. Multi-level sorting of nanoparticles on multi-step optical waveguide splitter. Optics Express, Vol. 26, No. 22, 2018, pp. 29262–29271.10.1364/OE.26.029262Search in Google Scholar PubMed
[60] Sun, Y.Y., X.-C. Yuan, L.S. Ong, J. Bu, S.W. Zhu, and R. Liu. Large-scale optical traps on a chip for optical sorting. Applied Physics Letters, Vol. 90, No. 3, 2007, id. 031107.10.1063/1.2431768Search in Google Scholar
[61] Wu, W., X. Zhu, Y. Zhuo, L. Liang, S. Zhang, X. Zhang, et al. Precise sorting of gold nanoparticles in a flowing system. ACS Photonics, Vol. 3, No. 12, pp. 2497–2504.10.1021/acsphotonics.6b00737Search in Google Scholar
[62] Nan, F. and Z. Yan. Sorting metal nanoparticles with dynamic and tunable optical driven forces. Nano Letters, Vol. 18, No. 7, 2018, pp. 4500–4505.10.1021/acs.nanolett.8b01672Search in Google Scholar PubMed
[63] Huh, D., J. H. Bahng, Y. Ling, H. -H. Wei, O. D. Kripfgans, J. B. Fowlkes, et al. Gravity-driven microfluidic particle sorting device with hydrodynamic separation amplification. Analytical Chemistry, Vol. 79, No. 4, 2007, pp. 1369–1376.10.1021/ac061542nSearch in Google Scholar PubMed PubMed Central
[64] Shen, S., C. Tian, T. Li, J. Xu, S.W. Chen, Q. Tu, et al. Spiral microchannel with ordered micro-obstacles for continuous and highly-efficient particle separation. Lab on a Chip, Vol. 17, No. 21, 2017, pp. 3578–3591.10.1039/C7LC00691HSearch in Google Scholar
[65] Gou, Y., S. Zhang, C. Sun, P. Wang, Z. You, Y. Yalikun, et al. Sheathless inertial focusing chip combining a spiral channel with periodic expansion structures for efficient and stable particle sorting. Analytical Chemistry, Vol. 92, No. 2, 2020, pp. 1833–1841.10.1021/acs.analchem.9b03692Search in Google Scholar PubMed
[66] Liu, Z., F. Huang, J. Du, W. Shu, H. Feng, and X. Xu. Rapid isolation of cancer cells using microfluidic deterministic lateral displacement structure. Biomicrofluidics, Vol. 7, No. 1, 2013, id. 11801.10.1063/1.4774308Search in Google Scholar PubMed PubMed Central
[67] Holm, S. H., J. P. Beech, M. P. Barrett, and J. O. Tegenfeldt. Separation of parasites from human blood using deterministic lateral displacement. Lab on a Chip, Vol. 11, No. 7, 2011, pp. 1326–1332.10.1039/c0lc00560fSearch in Google Scholar PubMed
[68] Tottori, N. and T. Nisisako. Particle/cell separation using sheath-free deterministic lateral displacement arrays with inertially focused single straight input. Lab on a Chip, Vol. 20, No. 11, 2020, pp. 1999–2008.10.1039/D0LC00354ASearch in Google Scholar
[69] Crowley, T. A. and V. Pizziconi. Isolation of plasma from whole blood using planar microfilters for lab-on-a-chip applications. Lab on a Chip, Vol. 5, No. 9, 2005, pp. 922–999.10.1039/b502930aSearch in Google Scholar PubMed
[70] Chen, J., D. Chen, T. Yuan, X. Chen, Y. Xie, H. Fu, et al. Blood plasma separation microfluidic chip with gradual filtration. Microelectronic Engineering, Vol. 128, 2014, pp. 36–41.10.1016/j.mee.2014.05.032Search in Google Scholar
[71] Li, X., W. Chen, G. Liu, W. Liu, and J. Fu. Continuous-flow microfluidic blood cell sorting for unprocessed whole blood using surface-micromachined microfiltration membranes. Lab on a Chip, Vol. 14, No. 14, 2014, pp. 2565–2575.10.1039/C4LC00350KSearch in Google Scholar
© 2021 Yueyue Zhang et al., published by De Gruyter
This work is licensed under the Creative Commons Attribution 4.0 International License.
Articles in the same Issue
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- A review on filler materials for brazing of carbon-carbon composites
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- Durability of geopolymers and geopolymer concretes: A review
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Articles in the same Issue
- Review Articles
- A review on filler materials for brazing of carbon-carbon composites
- Nanotechnology-based materials as emerging trends for dental applications
- A review on allotropes of carbon and natural filler-reinforced thermomechanical properties of upgraded epoxy hybrid composite
- High-temperature tribological properties of diamond-like carbon films: A review
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- Recent development in graphene-reinforced aluminium matrix composite: A review
- Mechanical behaviour of precast prestressed reinforced concrete beam–column joints in elevated station platforms subjected to vertical cyclic loading
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- Investigation on the relationship between CT numbers and marble failure under different confining pressures
- Finite element analysis on the bond behavior of steel bar in salt–frost-damaged recycled coarse aggregate concrete
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- Magnetic behavior of Fe-doped of multicomponent bismuth niobate pyrochlore
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- Magnetic moment centers in titanium dioxide photocatalysts loaded on reduced graphene oxide flakes
- Mechanical model and contact properties of double row slewing ball bearing for wind turbine
- Sandwich panel with in-plane honeycombs in different Poisson's ratio under low to medium impact loads
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- FEM micromechanical modeling of nanocomposites with carbon nanotubes
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- Removal of cadmium and lead from aqueous solutions using iron phosphate-modified pollen microspheres as adsorbents
- Load identification and fatigue evaluation via wind-induced attitude decoupling of railway catenary
- Residual compression property and response of honeycomb sandwich structures subjected to single and repeated quasi-static indentation
- Experimental and modeling investigations of the behaviors of syntactic foam sandwich panels with lattice webs under crushing loads
- Effect of storage time and temperature on dissolved state of cellulose in TBAH-based solvents and mechanical property of regenerated films
- Thermal analysis of postcured aramid fiber/epoxy composites
- The energy absorption behavior of novel composite sandwich structures reinforced with trapezoidal latticed webs
- Experimental study on square hollow stainless steel tube trusses with three joint types and different brace widths under vertical loads
- Thermally stimulated artificial muscles: Bio-inspired approach to reduce thermal deformation of ball screws based on inner-embedded CFRP
- Abnormal structure and properties of copper–silver bar billet by cold casting
- Dynamic characteristics of tailings dam with geotextile tubes under seismic load
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- Dynamics of a rotating hollow FGM beam in the temperature field
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- Effect of scan speed on grain and microstructural morphology for laser additive manufacturing of 304 stainless steel
- Influence of coupling effects on analytical solutions of functionally graded (FG) spherical shells of revolution
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- Electrolytic production and characterization of nickel–rhenium alloy coatings
- DC magnetization of titania supported on reduced graphene oxide flakes
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- Structural and hydrogen storage characterization of nanocrystalline magnesium synthesized by ECAP and catalyzed by different nanotube additives
- Mechanical property of octahedron Ti6Al4V fabricated by selective laser melting
- Physical analysis of TiO2 and bentonite nanocomposite as adsorbent materials
- The optimization of friction disc gear-shaping process aiming at residual stress and machining deformation
- Optimization of EI961 steel spheroidization process for subsequent use in additive manufacturing: Effect of plasma treatment on the properties of EI961 powder
- Effect of ultrasonic field on the microstructure and mechanical properties of sand-casting AlSi7Mg0.3 alloy
- Influence of different material parameters on nonlinear vibration of the cylindrical skeleton supported prestressed fabric composite membrane
- Investigations of polyamide nano-composites containing bentonite and organo-modified clays: Mechanical, thermal, structural and processing performances
- Conductive thermoplastic vulcanizates based on carbon black-filled bromo-isobutylene-isoprene rubber (BIIR)/polypropylene (PP)
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- Study on underwater vibro-acoustic characteristics of carbon/glass hybrid composite laminates
- A numerical study on the low-velocity impact behavior of the Twaron® fabric subjected to oblique impact
- Erratum
- Erratum to “Effect of PVA fiber on mechanical properties of fly ash-based geopolymer concrete”
- Topical Issue on Advances in Infrastructure or Construction Materials – Recycled Materials, Wood, and Concrete
- Structural performance of textile reinforced concrete sandwich panels under axial and transverse load
- An overview of bond behavior of recycled coarse aggregate concrete with steel bar
- Development of an innovative composite sandwich matting with GFRP facesheets and wood core
- Relationship between percolation mechanism and pore characteristics of recycled permeable bricks based on X-ray computed tomography
- Feasibility study of cement-stabilized materials using 100% mixed recycled aggregates from perspectives of mechanical properties and microstructure
- Effect of PVA fiber on mechanical properties of fly ash-based geopolymer concrete
- Research on nano-concrete-filled steel tubular columns with end plates after lateral impact
- Dynamic analysis of multilayer-reinforced concrete frame structures based on NewMark-β method
- Experimental study on mechanical properties and microstructures of steel fiber-reinforced fly ash-metakaolin geopolymer-recycled concrete
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- Properties of wood-based composites manufactured from densified beech wood in viscoelastic and plastic region of the force-deflection diagram (FDD)
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![Figure 3 (a) Illustration of experimental steps of CTC capture. Adapted permission from [55]. Copyright 2017 the Royal Society of Chemistry. (b) Schematic illustration of the cell separation design. Adapted permission from [56]. Copyright 2012 American Chemical Society.](/document/doi/10.1515/rams-2020-0044/asset/graphic/j_rams-2020-0044_fig_003.jpg)