Valorization of coconut husk into biochar for lead (Pb2+) adsorption
-
Adil Ahmed
, Mohammad Khalid Al-Sadoon
Abstract
Potentially toxic element contamination in water poses a significant environmental concern. Lead in divalent form (Pb2+) is considered as highly toxic due to its wide number of applications in synthetic paint, metal smelting, and industrial applications and is harmful to the environment and public health. Researchers are exploring biochar production from biomass such as coconut husk biochar (CHBC) to achieve the objectives of sustainable development and circular economy. Thus, in this current study, we focused on the production, effectiveness, and characterization of CHBC as a cost-effective adsorbent for the elimination of Pb2+. In this regard, biochar was optimized at different temperatures of 200°C, 400°C and 600°C, and the best yield was obtained at 600°C. Scanning electron microscopy (SEM) and X-ray diffraction (XRD) studies were conducted for further characterization, which showed an increase in the crystallinity of biochar from 56.4% to 64.3%, suggesting that the prepared biochar is highly porous. The prepared biochar was leveraged for the removal of Pb2+ from water using varying concentrations, temperatures, and pH conditions, and the analysis was carried out using ultraviolet–visible (UV–vis) spectroscopy. The optimal parameters were found to be a molar concentration of 0.0125 M, a catalyst dose of 500 mg, room temperature, and a pH of 6. Adsorption follows Langmuir and Temkin isotherms, which appear to be well suited in the adsorption process based on the correlation coefficient of the linear graph (R 2 = 0.97 and 0.99) and pseudo-first-order kinetics, with a correlation coefficient of R 2 = 0.546. The empirical results indicate that the usage of a pseudo-first-order kinetics model is well-matched in the adsorption process, and the evaluation was done by using UV–vis spectroscopy, while characterization was carried out using SEM–energy-dispersive X-ray spectroscopy, Fourier transform infrared spectroscopy, and XRD. Thus, the prepared biochar has been demonstrated to be an efficient platform for lead decontamination, paving the way for future researchers to explore and develop more effective techniques. This approach aligns with sustainable development goals and contributes to improved waste management practices.
1 Introduction
Environmental contamination occurs when undesirable contaminants in soil, water, or air surpass the allowed limit. Furthermore, it is defined as an unfavorable change in the natural environment that harms both flora and wildlife [1]. Environmental contaminants are classified as organic, inorganic, and microbiological pollutants [2]. Both naturally occurring biodegradable materials and human activity can be classified as organic pollutants. Conversely, inorganic contaminants, including potentially toxic element ions, originate from human or natural activity [1,2]. Safe drinking water is inaccessible to more than 2.1 billion people. The ongoing increase in the spread of many toxins in Earth’s water resources makes the water scarcity even worse. Potentially toxic elements that are dissolved in water might cause deterioration of the water [3]. As a result, water is no longer fit for human consumption. Wastewater effluents have a substantial impact on the quality of surface water sources [4]. Meanwhile, it appears that a number of industrial operations have been the primary source of potentially toxic elements in surface water sources [1,5]. Potentially toxic element pollution in aquatic environments has been caused by the rapid expansion of population and socioeconomic development. One of the worst environmental changes that can affect the people, animals, and plants in the ecosystem is metal pollution; even at extremely low concentrations, these metals are toxic and cannot be recycled [6]. Industries that produce a lot of wastewaters with different concentrations of potentially toxic element ions include those that deal with electroplating, dye, plastics, metal processing, alloys, batteries, munitions, ceramic glass, etc. This might result in health hazard in humans due to the presence of potentially toxic elements in edible agricultural products and drinking water sources. The primary sources of potentially toxic elements in water are wastewater discharges from various industrial processes, including lead, cadmium, mercury, copper, zinc, chromium, arsenic, and nickel. Among these, Pb2+ is one of the most dangerous substances, and lead has been employed in most of the industrial and domestic products recently [7]. The amount of Pb in a human body varies depending on the age, occupation, and environment. An individual weighing 70 kg is expected to have 120 mg of lead on average, with 0.2 mg·L−1 in the blood, 5–50 mg·kg−1 in bones, and 0.2–3 in tissues. The Centres for Disease Prevention and Control (USA) has established that the standard blood lead levels have increased for children and adults at 5 and 10 µg·dL−1, respectively [8]. For those living in a Pb-polluted area, accidental soil ingestion is a substantial source of Pb exposure [8,9]. However, eating plants contaminated with lead has proven a significant hazard for both people and animals [8,9]. Wild or edible plants grow close to phosphate factories. In soil ecosystems, lead has high toxicity and poor mobility properties. However, after being absorbed and accumulating in subcellular plant organelles, it causes oxidative stress by producing excessive amounts of superoxide radicals (O2) and hydrogen peroxide (H2O2), which disrupt the permeability of membranes [10]. Reactive oxygen species overproduction reduces a plant’s resistance to lead stress, leading to an increase in Pb2+ accumulation in plants and a higher chance of Pb2+ enrichment in the food chain [11]. Oral consumption and absorption through the stomach account for the majority of human cases of lead poisoning. The physical attributes of the substance consumed (e.g., particle size, solubility, mineralogy, and Pb species) and physical characteristics (e.g., Fe and Ca status, age, fasting, and pregnancy) affect the absorption of lead from the gastrointestinal system [12]. Following intestinal absorption, lead is transferred to soft tissues, such as the bone tissue, liver, and kidneys, where it gradually builds up. The primary way Pb moves from the colon to various bodily tissues is through red blood cells, where Pb and hemoglobin (HB) bind [12]. Exposure to excessive environmental lead levels might result in damage to the central nervous system. Additionally, children who spend extended periods of time in these surroundings may experience low IQ levels [13]. Humans experience stomach pain as the most prevalent symptom of lead toxicity. It has been observed that Ayurvedic medications are mostly to blame for cause of severe abdominal pain in the majority of Indians, which is related to lead toxicity. Age-related expressive increases in blood lead levels are correlated with smoking and alcohol consumption [6]. This metal mostly enters humans through the digestive and respiratory systems. As soon as the hazardous metal enters the body, it multiplies and obstructs all internal biological reactions by attaching to sulfhydryl and producing oxidative stress [14]. The bioaccumulation and biomagnification of potentially toxic elements in the food chain pose a major threat to human health [15,16]. There won’t be enough fresh and clean water if hazardous industrial pollutants are continuously dumped into water bodies [17,18]. Therefore, an affordable and environment-friendly approach is required to treat wastewater. Researchers have suggested several methods to extract potentially toxic element ions, including freeze desalination, opposite assimilation, electrochemical treatment, particle trading, substance precipitation, film filtering, electro-dialysis, etc. [19,20]. Since these methods are not energy-efficient and cost-effective, the biochar adsorption technique for wastewater treatment is the preferred method with its high selectivity, application, and low cost.
Biochar is a solid byproduct that is obtained from biomass as a result of thermal conversion processes. The utilization of biochar has gathered significant attention due to its quick manufacturing and elevated carbon content. Its low cost and high porosity are also accelerating the investigation into the application of biochar in a variety of sectors [21,22]. Additionally, biochar has received a great deal of attention as a crucial component for environmental applications, including greenhouse gas reduction, wastewater treatment, biofuel upgradation, soil remediation, and energy storage devices such as fuel cells, lithium-ion batteries, and supercapacitors [23]. Coconut biochar is a popular choice for wastewater treatment due to its good adsorption capabilities, cost-effectiveness, and versatility in various industries. It is an economical and effective adsorbent for potentially toxic elements, with improved performance when modified with ultrasound and dilute HCl [24]. Its versatility extends to water remediation, soil remediation, agriculture, cosmetics, food, and energy sectors [25,26,27]. The biochar produced by co-pyrolyzing sewage sludge and coconut fibers has synergistic effects in water treatment [28]. Innovative approaches, such as adding metal oxides to the surface, have also shown promising results [29].
In this study, we focused on the production, effectiveness, and characterization of coconut husk biochar (CHBC) as a cost-effective adsorbent for the elimination of potentially toxic elements (Pb2+). After washing the coconut husks twice with distilled water and subsequently with hot water to get rid of any contaminants, they were kept in an oven and dried for 24 h at 100°C. Then, the dried coconut husk was taken and partly burned using petroleum as a part of slow pyrolysis. The partially burned coconut husks were placed in crucibles and then subjected to pyrolysis in a muffle furnace at temperatures of 200°C, 400°C, and 600°C, each for 20 min, totaling 1 h. Then the prepared biochar was added to 0.05 M concentration of Pb(NO3)2 at different quantities such as 50 mg (CHBC50), 100 mg (CHBC100), 200 mg (CHBC200), 400 mg (CHBC400), and 500 mg (CHBC500), respectively, each in a separate beaker to study the absorption efficiency at different concentrations, temperatures, and pH. Absorption isotherms and absorption kinetics were also studied for the same, and evaluation was done by using ultraviolet–visible (UV–vis) spectroscopy, and characterization was carried out by scanning electron microscopy–energy-dispersive X-ray spectroscopy (SEM–EDS), Fourier transform infrared (FTIR) spectroscopy, and X-ray diffraction (XRD).
2 Materials and methods
The coconut husks were acquired from local vendors in Kharar, Punjab, India. The chemicals used included Pb(NO3)2 in a powdered form from CDH®. The pyrolysis process using a muffle furnace was conducted at the Department of Forensic Science, Chandigarh University. Absorption analysis through UV–vis spectroscopy and characterization of CHBC pre- and post-adsorption using SEM–EDS and XRD were performed at the University Center for Research and Development (UCRD), Chandigarh University.
3 Experimental section
3.1 Synthesis of CHBC
The synthesized adsorbent, derived from coconut husks, was prepared through a process that balances environmental sustainability and cost-effectiveness. The raw coconut husks were thoroughly cleaned with distilled and hot water to remove impurities, ensuring minimal contamination. They were then dried at 100°C for 24 h to eliminate moisture and washed with petroleum to make it free from other organic impurities. However, the burning step using petroleum raises concerns regarding environmental sustainability due to carbon emissions and potential introduction of contaminants; hence, a minor amount of petroleum is utilized to wash the impurities. The pyrolysis process, conducted at temperatures of 200°C, 400°C, and 600°C for 20 min each, effectively converted the husks into biochar with improved porosity and adsorption properties. To ensure uniform particle size for enhanced adsorption efficiency, the biochar was finely ground using a mortar and pestle for 10 min. This low-cost preparation method makes use of readily available agricultural waste, aligning with circular economy principles. Optimizing the pyrolysis conditions and exploring alternative activation techniques, such as steam or chemical activation using eco-friendly agents, could further enhance the adsorbent’s performance while maintaining its economic and environmental viability (Figure 1) [30,31,32].

General procedure for CHBC synthesis.
3.2 Preparation of lead nitrate solution
Pb(NO3)2 solution was prepared by adding 8.280 g of powdered lead nitrate into a volumetric flask and adding 250 mL of distilled water. This resulted in a 0.1 M solution. Next, 25 mL of the prepared 0.1 M Pb(NO3)2 solution was taken and added it to a beaker along with 25 mL of distilled water to convert it into a 0.05 M solution.
3.3 Absorption efficiency study
A 250 mL solution of 0.05 M Pb(NO3)2 was made and distributed into five beakers, each containing 50 mL of solution. Subsequently, CHBC was added to each beaker, with amounts of 50 mg (CHBC50), 100 mg (CHBC100), 200 mg (CHBC200), 400 mg (CHBC400), and 500 mg (CHBC500) added to their respective beakers. Following that, the beakers were positioned in an incubator shaker at room temperature for 4 h. At 30-min intervals, samples were extracted from the beakers using a pipette and transferred to Eppendorf tubes for analysis to determine the absorption efficiency of CHBC in the prepared solution (Figure 2) [31,32].

Lead nitrate solution (0.05 M) added with CHBC.
3.4 Temperature study
The procedure for the temperature study mimicked that of the absorption study, with the sole variation being the temperature settings in the incubator shaker [31]. One beaker was placed at room temperature, one beaker at 50°C, another one at 60°C, and all beakers were maintained for 4 h.
3.5 Concentration study
For the concentration study, two different molar concentration solutions of lead nitrate were prepared as follows:
A 0.025 M concentration solution of lead nitrate was prepared by combining 25 mL of 0.05 M solution with 25 mL of distilled water.
A 0.0125 M concentration solution of lead nitrate was then made by taking 25 mL of 0.025 M solution and adding 25 mL of distilled water.
Subsequently, the prepared molar concentration solutions underwent absorption efficiency testing. This involved placing them in an incubator shaker after adding CHBC.
3.6 pH study
The post-absorbed solution was selected for pH analysis. Samples were extracted from the beaker that exhibited the highest absorption using a pipette and then placed onto litmus paper for pH assessment.
3.7 Adsorption isotherm and kinetic studies
The adsorption isotherm and kinetic studies were performed using various isotherm and kinetic models. The isotherm models include the Langmuir adsorption isotherm, Freundlich adsorption isotherm, Temkin isotherm, Redlich–Peterson (R–P) isotherm, and Hill isotherm models. On the other hand, the kinetic models include the pseudo-first-order kinetic model (PFOM), pseudo-second-order kinetic model (PSOM), Elovich model, and intraparticle diffusion model (IDM). All the aforementioned models were fitted nonlinearly in order to find out the adsorptive parameters for CHBC toward the removal of Pb2+ ions. Additionally, a thermodynamic study was carried out to find out the thermodynamic parameters, including enthalpy, entropy, and Gibbs free energy, which will be discussed in detail in Section 4.
3.8 Instrumentation part
3.8.1 UV–vis spectroscopy
UV–vis spectroscopy is an analytical instrument that passes UV and visible light through the sample, calculating how much visible and UV light the sample has absorbed. In this study, the Eppendorf tubes collected from the absorption tests, concentration tests, and temperature tests were subjected to UV–vis spectroscopy analysis. This analysis aimed to determine which of the samples exhibited the maximum absorption efficiency.
3.8.2 SEM–EDS
SEM–EDS is an instrumental analysis that enables targeted examination of a sample’s surface. It aids in the analysis and identification of differences in the surface morphology of biochar pre- and post-absorption [30].
3.8.3 XRD
XRD is a non-destructive analytical method that yields comprehensive data about the physical properties, chemical properties, and crystallographic structure of a given sample [33]. In this study, the biochar from both pre- and post-absorption stages underwent analysis via XRD. This analysis aimed to identify and characterize the differences in the physical properties, chemical properties, and crystallographic structure of the biochar before and after absorption processes.
3.8.4 FTIR spectroscopy
FTIR spectrometer is a device where the absorption of infrared light was measured at various wavelengths to identify the functional groups present in organic and inorganic molecules [30].
4 Results and discussion
There are a number of techniques available for eliminating dangerous substances such as potentially toxic elements from wastewater. One such method is biosorption, and it uses depleted microbial biomass with the specific goal of removing the potentially toxic elements [34,35]. It is well recognized that potentially toxic elements can be extracted from contaminated water using dead plant matter. This biosorption process takes place when the metal ions adhere to the dead plant material’s surface [35]. Table 1 shows different biosorbents and their adsorption on Pb2+.
Biosorption capacity of different biosorbents on Pb2+
Biosorbent | Biosorption capacity (mg·g−1) | pH | Temperature (°C) | References |
---|---|---|---|---|
Meranti sawdust | 34.24 | 6 | 30 | [36] |
Araucaria heterophylla (green plant) biomass | 9.64 | 5 | 30 | [37] |
Solanum melongena leaves | 71.42 | 5 | 40 | [38] |
Pea (Pisum sativum) peel | 140.84 | 6 | 30 | [39] |
Tomato waste | 152 | 4 | — | [40] |
Apple juice residue | 108 | 4 | — | [40] |
Cocos nucifera powdered leaf | 8.4 | 5 | 30 | [41] |
Azadirachta indica A. Juss seeds | 17.96 | 5.5 | — | [42] |
Banana peel | 0.5 | 3 | — | [43] |
Pomelo (Citrus maxima) fruit peels | 47.18 | 5.5 | 30 | [44] |
CHBC | 56.53 | 6 | RT | This study |
Bold value signifies the innovation of current work.
4.1 Preparation of biochar
First, we collected the coconut husks from the local vendors and washed them twice with distilled water and once with hot water to eliminate any impurities present. After that, we kept the husks in an oven at 100°C for 24 h to completely dry them. Then, the dried coconut husks were taken and partly burned using petroleum as a part of slow pyrolysis. The partly burned coconut husk will be placed in a muffle furnace at temperatures of 200°C, 400°C, and 600°C. Each temperature will be maintained for 20-min intervals, totaling 1 h of pyrolysis. This will help to eliminate any impurities which may be present due to the addition of petroleum and also lead to the formation of CHBC. The prepared biochar was then ground for 10 min to make it a fine powder by using a mortar and pestle (Figure 3).

Working procedure for CHBC production.
4.2 Characterization
4.2.1 SEM
Using a scanning electron microscope, the high-resolution, three-dimensional (3D) surface morphology of biochar can be precisely observed. As illustrated in Figure 4, the prepared biochar illustrates a highly porous structure, forming a mesh-like structure which suggests that the biochar offers high porosity for the adsorption of target analyte. For biochar, the formation of numerous micropores is prominent within the temperature range of 400–500°C. On addition of Pb2+, the structure undergoes collapse and fragmentation. This variation in structural integrity underscores the participation of surface functional groups in complex formation with Pb2+.

SEM images of biochar (a) pre- and (b) post-adsorption.
4.2.2 XRD
XRD was done to analyze the pattern of CHBC both pre- and post-adsorption over a range of 2θ = 0–100°. In Figure 5a, the pre-adsorption XRD pattern (highlighted) indicates the presence of carbonaceous graphite (2θ = 28.496°) and silica (2θ = 40.670°). Pre-adsorbed CHBC suggests that its nature is amorphous due to the lack of sharp peaks. However post-adsorption CHBC, XRD pattern (highlighted) indicates the participation of biochar in complex formation with Pb2+ ions (Figure 5b). The complex formation leads to an increase in the crystallinity of biochar from 56.4% to 64.3%. The crystalline behavior of the complexes was attributed toward different kinds of interaction of the functional groups present on the biochar with potentially toxic ions.

XRD patterns of (a) pre-adsorption CHBC and (b) post-adsorption CHBC.
4.2.3 FTIR analysis
Using FTIR spectroscopy, the functional groups present on the surface of both pre- and post-adsorption CHBC were identified. The functional groups present in the pre-adsorption CHBC are shown in Figure 6a. The presence of the –OH functional group is indicated by hydroxyl stretching vibration, in the range between 3,600 and 3,200 cm−1 [35]. The peak between 1,600 and 1,500 cm−1 wavenumbers signifies the stretching vibration of the –COOH functional group and that at 1,642 cm−1 wavenumber indicates the presence of the –NH functional group. However, in Figure 6b, the post-adsorption CHBC graph shows that all the functional groups that are present in the pre-adsorption CHBC participated in complex formation with Pb2+ and that all the peaks diminished in post-adsorption CHBC.

FTIR spectra of (a) pre-adsorption CHBC and (b) post-adsorption CHBC.
4.3 Point-of-zero charge (pHzpc)
The pHzpc of the adsorbent was evaluated through the salt addition method to analyze its surface properties and the influence of pH on the adsorption mechanism. A 0.01 M KNO3 solution was used as the background electrolyte, and the initial pH (pH0) of the solution was adjusted between 2 and 10 using 0.1 M HCl or 0.1 M NaOH. A 100 mL aliquot of the pH-adjusted solution was mixed with 20 mg of adsorbent in an Erlenmeyer flask and stirred using a magnetic shaker for 48 h at room temperature to ensure equilibrium. The final pH (pHf) was measured, and a plot of pHf versus pH0 was constructed. The intersection of the curve with the line pHf = pH0 was identified as the pHzpc.
For Pb–R-BC, the pHzpc was found to be 6.0. When the pH is lower than the pHzpc, the surface of the adsorbent acquires a positive charge due to the protonation process, which results in decreased adsorption of Pb2+ as H⁺ ions compete for the available active sites. Conversely, as the pH increases, H⁺ ion concentration decreases, leading to surface deprotonation and an increase in available binding sites. At pH values above pHzpc, the adsorbent surface acquires a negative charge, enhancing electrostatic attraction and facilitating the adsorption of cationic Pb2+ ions (Figure 7).

pHzpc for the adsorbent toward the removal of Pb2+ ions.
4.4 Removal of Pb2+ ions
For the removal of Pb2+ ion from the water sample, initially 50 mL of 0.05 M Pb(NO3)2 solution was taken in five separate beakers followed by the addition of 50 mg (CHBC50), 100 mg (CHBC100), 200 mg (CHBC200), 400 mg (CHBC400), and 500 mg (CHBC500) of CHBC in the beakers, respectively. After that, the reaction mixture was maintained at room temperature for 4 h in an incubator shaker. The sample for analysis was collected after every 30 min to monitor the adsorption progress. The obtained sample was spun at 8,000 rpm for 10 min in order to perform the spectroscopic examination, and the supernatant was used to analyze the reaction’s progress. The adsorption results signify that 500 mg of BC would show the maximum adsorption efficiency in comparison to other doses. In addition, the influence of other factors, such as temperature, pH, and concentration of metal ions, was also examined.
In order to evaluate the effect of concentration of potentially toxic ions, varying concentrations of lead nitrate were prepared, i.e., 0.05 M, 0.025 M, and 0.0125 M, and the analysis was performed using 500 mg of CHBC under ambient conditions, which indicates that CHBC500 showed the best adsorption at 0.0125 M Pb2+.
Additionally, the effects of temperature on CHBC500 adsorption on Pb2+ were examined at three distinct temperature levels: room temperature, 50°C, and 60°C. Room temperature produced the best results. From all the optimization studies, maximum adsorption was found under optimal conditions, which include 500 mg of CHBC dose, 0.0125 M Pb2+ ions, and pH 6 at ambient temperature (Table 2).
Absorption efficiency on different parameters
Sr. no. | Parameters | Adsorption efficacy (%) | ||
---|---|---|---|---|
Catalyst dose | Pb2+ concentration | Temperature | ||
1. | 50 mg | 0.05 M | RT | 52.72 |
100 mg | 0.05 M | RT | 50.79 | |
200 mg | 0.05 M | RT | 54.56 | |
400 mg | 0.05 M | RT | 55.29 | |
500 mg | 0.05 M | RT | 56.53 | |
2. | 500 mg | 0.05 M | RT | 56.53 |
500 mg | 0.05 M | 50°C | 42.52 | |
500 mg | 0.05 M | 60°C | 43.21 | |
3. | 500 mg | 0.0125 M | RT | 74.23 |
500 mg | 0.025 M | RT | 49.22 | |
500 mg | 0.05 M | RT | 56.53 |
Bold value signifies the innovation of current work.
4.5 Adsorption isotherm study
4.5.1 Langmuir isotherm model
According to the Langmuir isotherm model, there is an equal quantity of evenly distributed active sites on the adsorbent surface. These active sites are devoid of interactions between adsorbed molecules, and they are always attracted to a monomolecular layer of adsorbate molecules [35,45]. The linearized version of Eqs. 1 and 2 was utilized to assess Pb2+ surface binding capabilities with CHBC.
In this case, R L represents the separation factor that proves the isotherm’s viability; correspondingly, R L = 0, 1, >1, and 0–1 denote the irreversibility, linearity, unfavorable, and favorable aspects of the adsorption process [45]. Based on test findings (Table 3), the figure shows the value of the separation factor in the range of 0 to 1, indicating the single layer adsorption of Pb2+ on CHBC with a correlation constant of R 2 = 0.097.
Adsorption isotherm constant values
S. no. | Models | Parameters | |||
---|---|---|---|---|---|
1. | Langmuir isotherm | q m (mg·g −1 ) | K L | R L | R 2 |
0.09004 | 1.2826 | 0.939734807 | 0.97 | ||
2. | Freundlich isotherm | 1/ n | K f (1/g) | log K f | R 2 |
1.04761 | 0.13637 | −0.86528 | 0.88 | ||
3. | Temkin isotherm | BT (kcal·mol −1 ) | ln A T | A T (1/g) | R 2 |
0.00156 | 5.424514725 | 226.90121 | 0.99 | ||
4. | Redlich–Peterson isotherm | K R | α | β | R 2 |
0.12123 | 6.94 × 1014 | 9.73505 | 0.8 | ||
5. | Hill isotherm | q H | K | n | R 2 |
−3048.46248 | −22390.8401 | 1.04719 | 0.77772 |
4.5.2 Freundlich isotherm model
As demonstrated by Eq. 3, the Freundlich isotherm model states that a logarithmic decrease in the enthalpy of adsorption correlates with an increase in the number of occupied sites [45]. The adsorption of heterogeneous surfaces is the fundamental process underlying this isotherm. The Freundlich equation is represented as follows:
Here, “k F” stands for the Freundlich constant and “n” is the parameter indicating the linearity and type of the adsorption process. The notion of linear adsorption is that chemical interactions take place when n = 1, and physical interactions predominate when n > 1 [35]. The value of a competitive adsorption process is less than one, whereas the value of a cooperative adsorption process is larger than one. With a correlation constant of R 2 = 0.8, the 1/n number derived from the study’s results suggests that the adsorbents’ surface appears more unequal (Table 3, Figure 8).

(a) Isotherm study: Langmuir isotherm, Freundlich isotherm, Temkin isotherm, Hill isotherm, and R–P isotherm models; (b) kinetic study: PSOF, PSOM, Elovich model, and IDM.
4.5.3 Temkin isotherm model
The preferred model for explaining the importance of interactions between the adsorbent and the adsorbate is the Temkin model. This model states that as the surface area increases, the enthalpy of adsorption for each molecule in the adsorbent layers falls linearly [35]. The following is a representation of Temkin equation:
The variable “T” denotes the reaction’s temperature in Kelvin (K), whereas “R” stands for the gas constant, which is equivalent to 8.314 J·mol⁻¹·K⁻¹. The Temkin constant “b” in the formula refers to the heat of adsorption [45]. The Temkin model appears to be well suited in the adsorption process based on the correlation coefficient of the linear graph (R 2 = 0.99) (Table 3, Figure 8).
4.5.4 R–P isotherm model
The R–P isotherm is a versatile model applicable to both homogeneous and heterogeneous adsorption systems. Unlike the Langmuir, Freundlich, and Dubinin–Radushkevich (D–R) isotherms, the R–P model integrates three parameters into a single equation, enhancing its adaptability. The linearized form of the R–P isotherm is expressed as follows:
where K R (L/g) and αR (L/mg)1/β are R–P isotherm constants, and β (0 < β < 1) is an exponent characterizing the system’s heterogeneity. At elevated adsorbate concentrations, the R–P isotherm closely resembles the Freundlich model, whereas at lower concentrations, it aligns more with Henry’s law. Due to its three-parameter structure, the R–P isotherm requires advanced regression techniques for parameter estimation. In this study, K R was optimized to maximize the regression coefficient (R 2) in the linear plot. The regression coefficients and isotherm constants are presented in Table 3 (Figure 8).
4.5.5 Hill isotherm model
The Hill isotherm model is widely utilized in adsorption studies, particularly for systems exhibiting cooperative interactions between adsorbate molecules. Originally derived from the Hill equation, which describes ligand binding in biochemical systems, this model has been adapted to characterize adsorption behavior on heterogeneous surfaces. The key equation that defines the Hill isotherm describes the connection between the concentration of adsorbate at equilibrium and the quantity adsorbed per unit mass of the adsorbent. This equation includes parameters such as the maximum adsorption capacity (qm), the Hill constant (K), and the cooperativity coefficient (n). The value of n plays a crucial role in determining the nature of adsorption interactions. When n > 1, the process exhibits positive cooperativity, meaning that adsorption at one site enhances further adsorption at neighboring sites. Conversely, n < 1 indicates negative cooperativity, where adsorption at one site reduces the likelihood of additional adsorption. When n = 1, the Hill isotherm reduces to the Langmuir model, which presupposes monolayer adsorption on a uniform surface. In contrast to other isotherm models, like Langmuir and Freundlich, the Hill isotherm is especially appropriate for heterogeneous adsorption systems where the interactions among adsorbate molecules affect the capacity for adsorption. Its ability to account for cooperative effects makes it a valuable tool for studying complex adsorption processes in environmental remediation and materials science applications.
Comparative modeling using Langmuir, Freundlich, Redlich–Peterson, Temkin, and Hill isotherms indicated that the Langmuir and Temkin models provided the best fit (R 2 = 0.97 and 0.99). The adsorption efficacy was attributed toward the abundance of functional groups on the biochar surface (Figure 8) [46].
4.6 Adsorption kinetic study
4.6.1 PFOMs
PFOMs were utilized to study Pb2+ adsorption on CHBC surfaces. As per PFOMs, the ratio of accessible adsorption sites to the total number of sites determines the adsorption rate [35]. The PFOM is represented by Eq. 5 following the integration and application of the boundary conditions (t = 0 to t e and q t = 0 to q t )
Here, the amount of CB at a specific time “t” is represented by q t (mg·g−1), while the quantity of Pb2+ adsorbed at equilibrium is reflected by q e (mg·g−1). For pseudo-first-order adsorption, k 1 (min⁻³) is the rate constant. The slope and intercept of the resulting plot were used to compute K 1 and expected q e, respectively. The results for the BC adsorbent are shown in Figure 8b and Table 4.
Constant for kinetic models
Sl. no. | Kinetic model | Parameters | |
---|---|---|---|
1. | PFOM | K 1 (g mg −1 min −1 ) | R 2 |
0.0048 | 0.86 | ||
2. | PSOM | K 2 (g mg −1 min −1 ) | R 2 |
2.27 × 10−2 | 0.86 | ||
3. | Elovich model | B | R 2 |
1.89 × 101 | 0.81 | ||
4. | IDM | K diff | R 2 |
4.18 × 10−4 | 0.79 |
4.7 Pseudo-second-order kinetics
According to the PSOM, the square of the number of accessible sites determines how quickly sorption occurs [35]. A mathematical description is provided by Eq. 6
Then, the values of q e (adsorption equilibrium) (mg·g−1) and k 2 (constant) (g mg·min−1) were determined using the slope and intercept of the graph q t vs t. Table 4 provides details on these values with a correlation coefficient of R 2 = 0.866 (Table 4, Figure 8b).
4.7.1 Elovich kinetic model
The Elovich model is commonly used to describe adsorption processes occurring on heterogeneous surfaces, particularly in dye removal applications. It assumes that the adsorption rate decreases over time due to surface site deactivation. The mathematical expression of the Elovich equation is given by:
where q t (mg·g−1) represents the adsorbed amount at time t, while α (mg/g min) and β (g·mg−1) are Elovich constants related to the initial adsorption rate and surface coverage, respectively. A plot of q t versus t enables the determination of these parameters. This model is particularly effective in describing adsorption systems where chemisorption is the dominant mechanism (Table 4, Figure 8b) [47].
4.7.2 IDM
The IDM was utilized to analyze the adsorption kinetics and assess the role of pore diffusion in the overall adsorption process. The model is represented as follows:
where k idp is the intraparticle diffusion rate constant and C is a constant related to boundary layer effects. A linear graph of q t against t 1/2 implies that intraparticle diffusion controls the adsorption process. However, if the graph does not intersect the origin, it suggests that additional mechanisms, like surface adsorption or film diffusion, may also play a role in the process. In various adsorption studies, the presence of multiple linear regions in the IDM plot suggests a multi-step adsorption mechanism, where rapid external diffusion is followed by gradual intraparticle diffusion and finally equilibrium attainment (Table 4, Figure 8b) [48].
The empirical results from models indicate that the usage of PFOM and PSOM is well-matched in the adsorption process. This implies that valence force-related chemical reactions, such as the exchange or transfer of electrons between Pb2+ and the CHBC adsorbent, are the driving factors behind the lead adsorption mechanism.
4.8 Thermodynamic parameters
Thermodynamic parameters, including Gibbs free energy (ΔG°), enthalpy (ΔH°), and entropy (ΔS°), play a crucial role in evaluating the spontaneity and heat exchange associated with the adsorption process 130. These parameters can be determined using the equilibrium constant (KCK_CKC), which reflects the adsorbent’s capacity to retain the adsorbate and the extent of its mobility in the solution. The experimental thermodynamic data were calculated at varying temperatures.
The standard Gibbs free energy change (ΔG°) was determined using the following equations:
where R is the universal gas constant (J·mol−1), and T represents the absolute temperature (K). The equilibrium constant (K C) is defined as the ratio of equilibrium concentration of the adsorbate on the adsorbent (q e) to its equilibrium concentration in the solution (C e):
Furthermore, the van’t Hoff equation was employed to determine the enthalpy and entropy changes:
A linear plot of ln K C versus 1/T (Figure 9a) enables the calculation of ΔH° and ΔS° from the slope and intercept, respectively. The absolute values of ΔG° decrease with increasing temperature, indicating that the adsorption process becomes less thermodynamically favorable at elevated temperatures. The negative enthalpy change (ΔH° = −23743.3 kJ·mol−1) confirms that the adsorption process is exothermic. Moreover, a positive ΔS° (ΔS° = 52.86) value indicates an increase in disorder at the solid–liquid boundary during adsorption, reflecting a greater level of randomness within the system. These results align with earlier research where poly(methyl methacrylate)/graphene oxide and its nanocomposite successfully adsorbed the malachite green dye, further highlighting the exothermic characteristic of the process. Apart from this, in order to check the potential of CHBC for lead removal, an anti-interference study was conducted in the presence of other potentially competing metal ions, including Fe2+, Fe3+, Ni2+, Co2+, Zn2+, Cd2+, Hg2+, Mn2+, Cu2+, and K⁺ (Figure 9). The results demonstrated that the absorption response of the CHBC and PB2+ remained largely unaffected by the presence of these interfering ions, indicating a strong affinity and selective interaction between CHBC and Pb2+ ions. Furthermore, adsorption studies confirmed that CHBC exhibits high selectivity for Pb2+ removal, reinforcing its potential as an effective adsorbent for lead-contaminated water treatment. The minimal impact of competing metal ions suggests that the adsorption mechanism is predominantly driven by specific binding interactions and surface characteristics, making CHBC a promising material for selective Pb2+ remediation (Figure 9b) [45,49].

(a) Thermodynamic parameter analysis for the adsorbent to eliminate lead ion; (b) interference study of the competing ions.
4.9 Regeneration and reusability of spent adsorbents for Pb2+ removal
The recovery and repurposing of used adsorbents are essential for evaluating the reversibility of the adsorption process and improving its cost efficiency. In this research, several desorbing agents, such as acids, bases, and salts at varying concentrations, were tested for their effectiveness in regenerating the biochar. Of all the agents tested, 0.1 M NaOH was identified as the most effective desorbing agent. The efficiency of NaOH in regenerating the adsorbents can be attributed to the predominant presence of anionic lead species at pH > 7, which exhibit lower affinity for negatively charged adsorbent surfaces. Given the zero-point charge values of biochar, their surfaces become negatively charged above pH 7, facilitating the desorption of Pb2+ species under basic conditions. A 500 mg sample of used biochar was added to a 100 mL conical flask, followed by the introduction of 20 mL of 0.1 M NaOH and 20 mL of distilled water. The mixture was stirred at a temperature of 30°C for 15 min and then allowed to settle. The supernatant was filtered, and the adsorbent was rinsed with distilled water until a neutral pH was achieved. The adsorbent was then dried at 105°C and allowed to cool to room temperature before being utilized again for adsorption experiments. This regeneration process was repeated multiple times, and the Pb2+ removal efficiency was assessed after each cycle. The results indicate a gradual decline in Pb2+ removal efficiency with successive regeneration cycles. However, the removal efficiency remained above 80% even after five regeneration cycles, demonstrating the potential reusability of biochar. The percentage removal of Pb2+ ions across multiple regeneration cycles was as follows: 56.53%, 54.0%, 54.3%, 52.6%, and 51.2% (for cycles 1–5, respectively).
5 Conclusions and future perspectives
The utilization of CHBC has demonstrated efficiency in both waste management and water remediation. In this study, dried coconut husks were subjected to slow pyrolysis, where partial combustion was initiated using a minimal amount of petroleum to aid in impurity removal. The partially burned husks were then pyrolyzed in a muffle furnace at 200°C, 400°C, and 600°C, maintaining each temperature for 20-min intervals, totaling 1 h. This process facilitated the formation of biochar with enhanced adsorption properties. The resulting CHBC exhibited high efficacy in removing Pb2+ ions from aqueous solutions. Adsorption studies revealed optimal conditions at a Pb(NO₃)₂ concentration of 0.0125 M, room temperature, and a biochar dosage of 500 mg. Isotherm analysis revealed that the adsorption behavior was most accurately represented by the Temkin model, while the kinetic studies indicated that the process adhered to pseudo-first-order kinetics. CHBC presents promising applications across various environmental and industrial sectors:
Sustainable waste management: Biochar production from coconut husks provides an eco-friendly approach to agricultural waste utilization, minimizing environmental pollution and promoting sustainable practices.
Water purification: The high surface area and adsorption capacity of CHBC make it an effective and cost-efficient adsorbent for removing heavy metals, pesticides, and organic pollutants from contaminated water.
Soil enhancement: When applied as a soil amendment, CHBC improves nutrient retention, water-holding capacity, and microbial activity, thereby enhancing agricultural productivity.
Carbon sequestration: CHBC serves as a long-term carbon sink, capturing and storing carbon from biomass, contributing to the mitigation of CO₂ emissions and climate change.
Energy applications: The pyrolysis process enables the co-production of bio-oil and syngas, which can serve as renewable energy sources, fostering a sustainable bioenergy cycle.
Industrial applications: CHBC has potential applications in enhancing construction materials, such as concrete and asphalt, and improving filtration systems for industrial waste treatment.
Acknowledgements
The authors would like to extend their sincere appreciation to the Researchers Supporting Project Number (RSP2024R410), King Saud University, Riyadh, Saudi Arabia, and Chandigarh University for providing the research facilities.
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Funding information: The authors would like to extend their sincere appreciation to the Researchers Supporting Project Number (RSP2024R410), King Saud University, Riyadh, Saudi Arabia, for providing the research facilities.
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Author contributions: A.A., T.V., G.P., R.T., and R.S.K.S. were involved in data collection, analysis, and initial drafting of the manuscript. D.M. and M.S.S. contributed to methodology development and data validation. M.K.A.S. provided critical inputs during result interpretation and literature review. P.A. and M.S.S. supervised the overall research, refined the manuscript, and approved the final version for submission.
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Conflict of interest: The authors state no conflict of interest.
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Data availability statement: All data generated or analyzed during this study are included in this published article.
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- Green synthesis of eco-friendly bioplastics from Chlorella and Lithothamnion algae for safe and sustainable solutions for food packaging
- Optimizing coal water slurry concentration via synergistic coal blending and particle size distribution
- Green synthesis of Ag@Cu and silver nanowire using Pterospermum heterophyllum extracts for surface-enhanced Raman scattering
- Green synthesis of copper oxide nanoparticles from Algerian propolis: Exploring biochemical, structural, antimicrobial, and anti-diabetic properties
- Simultaneous quantification of mefenamic acid and paracetamol in fixed-dose combination tablet dosage forms using the green HPTLC method
- Green synthesis of titanium dioxide nanoparticles using green tea (Camellia sinensis) extract: Characteristics and applications
- Pharmaceutical properties for green fabricated ZnO and Ag nanoparticle-mediated Borago officinalis: In silico predications study
- Synthesis and optimization of gemcitabine-loaded nanoparticles by using Box–Behnken design for treating prostate cancer: In vitro characterization and in vivo pharmacokinetic study
- A comparative analysis of single-step and multi-step methods for producing magnetic activated carbon from palm kernel shells: Adsorption of methyl orange dye
- Sustainable green synthesis of silver nanoparticles using walnut septum waste: Characterization and antibacterial properties
- Efficient electrocatalytic reduction of CO2 to CO over Ni/Y diatomic catalysts
- Greener and magnetic Fe3O4 nanoparticles as a recyclable catalyst for Knoevenagel condensation and degradation of industrial Congo red dye
- Recycling of HDPE-giant reed composites: Processability and performance
- Fabrication of antibacterial chitosan/PVA nanofibers co-loaded with curcumin and cefadroxil for wound healing
- Cost-effective one-pot fabrication of iron(iii) oxychloride–iron(iii) oxide nanomaterials for supercapacitor charge storage
- Novel trimetallic (TiO2–MgO–Au) nanoparticles: Biosynthesis, characterization, antimicrobial, and anticancer activities
- Green-synthesized chromium oxide nanoparticles using pomegranate husk extract: Multifunctional bioactivity in antioxidant potential, lipase and amylase inhibition, and cytotoxicity
- Therapeutic potential of sustainable zinc oxide nanoparticles biosynthesized using Tradescantia spathacea aqueous leaf extract
- Chitosan-coated superparamagnetic iron oxide nanoparticles synthesized using Carica papaya bark extract: Evaluation of antioxidant, antibacterial, and anticancer activity of HeLa cervical cancer cells
- Antioxidant potential of peptide fractions from tuna dark muscle protein isolate: A green enzymatic approach
- Clerodendron phlomoides leaf extract-mediated synthesis of selenium nanoparticles for multi-applications
- Optimization of cellulose yield from oil palm trunks with deep eutectic solvents using response surface methodology
- Nitrogen-doped carbon dots from Brahmi (Bacopa monnieri): Metal-free probe for efficient detection of metal pollutants and methylene blue dye degradation
- High energy density pseudocapacitor based on a nanoporous tungsten(VI) oxide iodide/poly(2-amino-1-mercaptobenzene) composite
- Green synthesized Ag–Cu nanocomposites as an improved strategy to fight multidrug-resistant bacteria by inhibition of biofilm formation: In vitro and in silico assessment study
- In vitro evaluation of antibacterial activity and associated cytotoxicity of biogenic silver nanoparticles using various extracts of Tabernaemontana ventricosa
- Fabrication of novel composite materials by impregnating ZnO particles into bacterial cellulose nanofibers for antimicrobial applications
- Solidification floating organic drop for dispersive liquid–liquid microextraction estimation of copper in different water samples
- Kinetics and synthesis of formation of phosphate composites from low-grade phosphorites in the presence of phosphate–siliceous shales and oil sludge
- Removal of minocycline and terramycin by graphene oxide and Cr/Mn base metal–organic framework composites
- Microfluidic preparation of ceramide E liposomes and properties
- Therapeutic potential of Anamirta cocculus (L.) Wight & Arn. leaf aqueous extract-mediated biogenic gold nanoparticles
- Antioxidant-rich Micromeria imbricata leaf extract as a medium for the eco-friendly preparation of silver-doped zinc oxide nanoparticles with antibacterial properties
- Influence of different colors with light regime on Chlorella sp., biomass, pigments, and lipids quantity and quality
- Experimental vibrational analysis of natural fiber composite reinforced with waste materials for energy absorbing applications
- Green synthesis of sea buckthorn-mediated ZnO nanoparticles: Biological applications and acute nanotoxicity studies
- Review Article
- Sustainable innovations in garlic extraction: A comprehensive review and bibliometric analysis of green extraction methods
- Rapid Communication
- In situ supported rhodium catalyst on mesoporous silica for chemoselective hydrogenation of nitriles to primary amines
- Special Issue: Valorisation of Biowaste to Nanomaterials for Environmental Applications
- Valorization of coconut husk into biochar for lead (Pb2+) adsorption
- Corrigendum
- Corrigendum to “An updated review on carbon nanomaterials: Types, synthesis, functionalization and applications, degradation and toxicity”