Designing a biosorbent material with highly efficient adsorbent ability and cost-effectiveness is challenging. Conventional biosorbent materials have inherent drawbacks, including high cost, small porosity, less thermal stability, and low effective surface area. Herein, we employed a pyrolysis method at 600 °C to synthesize biochar derived from mango seed kernel (MSK) as an alternative biosorbent material to circumvent these shortcomings. The obtained results evidently indicate the adsorption capacity (qmax) from the Langmuir fit (R2 = 0.995) using nonlinear regression came out to be 67.56 mg/g. Two hours of contact time was required to establish equilibrium, and pH seems to have little effect on adsorption. The calculated surface area by the adsorption process was found to be 85.19 m2/g for MSK-600 revealing the intriguing surface morphology of MSK-600 in the adsorption of methylene blue and findings of our work were then compared with the activated carbon (charcoal) by determining the surface area and adsorption capacity. Our findings imply the potential for effective alternative application of MSK for (bio)sorbent development.

  • A pyrolysis method at 600 °C was used to synthesize biochar from mango seed kernel (MSK) as an alternative biosorbent.

  • The adsorption capacity (qmax) from the Langmuir fit (R² = 0.995) was 67.56 mg/g.

  • The surface area was 85.19 m²/g for MSK-600, revealing its effective morphology in methylene blue adsorption.

  • These results suggest the potential for utilizing food waste in developing alternative (bio)sorbents.

Water is an essential resource for life on earth because it enables the body to absorb and assimilate minerals through biological processes (Cheuvront et al. 2020). However, anthropogenic activities in the industrial sector led to the discharge of various dyes, metals, and toxic chemicals into water channels. This contamination can alter the physical and chemical properties of the soil, degrade water bodies, and harm essential microorganisms by inhibiting their growth (Some et al. 2021). Furthermore, developments in the industrial and agricultural sectors have increased pollutants in both water and air, disrupting entire aquatic ecosystems (Bharathi & Ramesh 2013). Currently, continuous monitoring is essential for identifying contaminants and reducing the risks associated with water pollution (Salehi 2022).

The textile industry uses dyes containing chromophoric groups to color fabric. These dyes are soluble in water and are often discharged into water channels without proper treatment, leading to pollution (Lellis et al. 2019). Approximately 15% of these dyes are released directly into water sources. Water pollutants containing dyes can cause severe diseases in humans and other organisms, including dysentery, polio (infantile paralysis), trachoma (eye infection), typhoid fever, cholera, and diarrhea (Fazal-ur-Rehman 2019). Some of the disease-causing dyes include acid dyes, reactive dyes for wool, pre-metalized dyes, azoic dyes, vat dyes, and sulfur dyes (Pandey et al. 2008). Major dyes such as azo, anthraquinone, indigoid, and triphenylmethane dyes are known to cause skin irritation, eye itching, zootoxicity, and hepatotoxicity (Yang et al. 2018). In addition to dyes, other pollutants contribute to dangerous human diseases, affecting bones, glands, the nervous system, and the endocrine system (Robinson et al. 2002).

Methylene blue (MB) is a cationic dye and a derivative of phenothiazine (Khadieva et al. 2021). The presence of this dye in natural water has a severe impact on both aquatic and human life. It can cause urinary tract infections, leading to kidney, ureter, and bladder issues. Additionally, it may result in abdominal and precordial pain, headaches, nausea, and, in some cases, excessive sweating (drizzling) (Buzga et al. 2022). While MB is safe as a drug at doses of 2 mg/kg or less, higher levels can have serious effects on the human body (Dabhokar et al. 2021).

Highly porous materials were found to be the best candidates for water treatment and removal of impurities (Li et al. 2023). They can also be used for drug delivery, gas storage, separation, magnetism, catalysis, and molecular sensing (Li et al. 2014). Such materials can remove water impurities and control their quality and purity physically and chemically. However, techniques such as adsorptive bubble separation, electrocoagulation, photocatalysis, nanofiltration, reverse osmosis, ozonation, microbial decomposition, photolytic decolorization, and ultrafiltration have been used for water purification (Saravanan et al. 2021).

Compared with other water treatment techniques, the adsorption method is inexpensive and straightforward. It is considered one of the most effective techniques for removing harmful contaminants due to its simple design, low cost, ease of operation, and ability to handle a wide range of pollutants (Kordbacheh & Heidari 2023). For organic molecules, adsorption is associated with higher aromaticity and hydrophobicity (with a lower O/C ratio). However, it is less suitable for ionic dyes and situations where noncarbonized materials are required for adsorption (Choi & Kan 2019).

Specific adsorbents and biosorbents are used for water treatment and have the characteristics of high abrasion resistance, small pores diameters, and high thermal stability. Adsorbents are chemically inert and may be organic, inorganic, and biosorbents including significant types such as silica gel, activated carbon (charcoal), molecular sieve carbon, alumina, and biochar (Grégorio et al. 2018). Biosorbents such as apricot shell, rubber wood sawdust, clay, a mixture of both (sawdust and clay), oil palm fiber, mango seed kernel (MSK), and sunflower waste biomass are also used for impurity removal and considered as cheapest and finest methods (Singh & Arora 2011). Other compounds such as zeolites, porous coordination polymers (PCPs), and metal–organic frameworks (MOFs) have high porosity and extended structures due to organic linkers are being used for water treatment recently (Yang & Sun 2007; Busch et al. 2012; Furukawa et al. 2013). These compounds are usually nontoxic and can be used in pharmaceuticals and cosmetics industries because of their availability at a very cheap rate (Busch et al. 2012). Recent studies have investigated the potential of mango seed char synthesized by the pyrolysis method. Mango seed char has been utilized for the removal of dyes and phenol with high efficiency due to its polarity and surface area. The effect of mango seed char, using ZnCl₂ activation, in the removal of MB was also examined and the study demonstrated the highest percentage of dye removal under optimal conditions. Mango seed char was further used to remove phenol due to its smaller size, proving useful in water purification. These findings highlight the potential of mango seed char for removing dyes and other pollutants from water (Dávila-Jiménez et al. 2009; Akpen et al. 2014; Razali et al. 2022).

Different interactions have been studied previously in removing organic and inorganic pollutants using biochar, involving the specific and nonspecific interaction between the absorbent and the adsorbate (Madani et al. 2015). In physical adsorption, the polarity of target molecules impacts the adsorbent surface as it depends upon various factors such as π–π stacking, hydrophobic and electrostatic interaction, and van der Waals forces. Chemical adsorption occurs due to the formation of chemical bonds through electron sharing between the biochar and the adsorbate. This process is selective and involves stronger, more specific forces. As a result, monolayer adsorption is typically observed in such cases (Naja & Volesky 2011).

The adsorption isotherm can be used to describe the interaction between the adsorbent and the adsorbate and analyze the adsorption behavior through different models (Wei et al. 2017). Isotherm studies help elucidate the interactions among adsorbed molecules and the heat of adsorption. Depending on the adsorbent–adsorbate interaction, these isotherms are typically categorized into 1, 2, 3, 4, or 5 parameters. Typical isotherms include Henry's isotherm, the Fowler–Guggenheim model, the Dubinin–Radushkevich isotherm, and the Halsey isotherm (Tiwari et al. 2022). The Langmuir equation was utilized for isothermal studies to study the adsorption, represented as Equation (1):
(1)
where Ce is the equilibrium concentration, qm is the maximum adsorption capacity, KL is the Langmuir adsorption constant, and qe is the amount of adsorbate adsorbed onto the surface of the adsorbent.
Another isotherm, ‘Freundlich’, is also related to the surface studies represented as Equation (2):
(2)
where is the Freundlich adsorption constant and the Temkin isotherm model equation used (Equation (3)):
(3)
where is the Temkin constant, and B1 is the constant heat of adsorption.

In this study, the pyrolysis method was used to synthesize biochar using MSK, which significantly helped to remove dyes from aqueous solutions. The study assessed the effects of important variables such as contact time, pH, MSK dosage, and MB concentration to optimize adsorption. Reported pyrolysis studies greatly expand the surface area of MSK and add functional groups that contain oxygen, which gives MB molecules many places to bind (Ganeshan et al. 2016). Compared with other raw kernels, this improves the adsorption capacity and diversity. Mango seed char is far more affordable than other low-cost adsorbents. The results point to promising opportunities for using this easily accessible agricultural waste as an effective and long-term remedy for MB remediation in wastewater treatment.

Materials and instruments

The experiment utilized MB dye from BDH Gurr with a purity of 82%. Activated carbon was purchased from Riedel-de Haen and employed in a series of experiments. The research equipment included a WHL-25 electrothermal constant temperature drying oven (Tianjin Taisite Instrument, China) and a Ney VULCAN D-550 furnace (Trendtop Scientific Crop. China) to synthesize the adsorbent. The separation process was conducted using a centrifugal machine, which separated substances based on their density by spinning the vessel around its axis. A Model-16 high-speed centrifugal machine with a speed of 16 × 103 (Changzhou Guohua Electric Appliance Co., Ltd, China) was utilized. A 721 UV–Vis spectrophotometer (TBT Scietech, China) with a wavelength range of 340–1,000 nm was employed. A&D Gulf's weight balance, capable of weighing approximately 300 g of substance, and a pH meter were used to study the pH effect.

Synthesis of biosorbent (MSK-600)

MSK 600 (mango seed kernel pyrolyzed at 600 °C) was prepared by deshelling the mango kernel. After deshelling, the mango kernel was grinded and dissolved in ethanol and the mixture was transferred to a separatory funnel. The mixture for subjected to liquid–liquid extraction using hexane. By gently shaking the mixture in the funnel, the fats dissolved in hexane and were removed once the solution settled. This extraction process was repeated until the fats were sufficiently removed, followed by further processing through microwave heating. For neutralization, it was immersed in a 0.1 M solution of KOH for 12 h and then dried at 70 °C. Subsequently, it was introduced into the furnace for 2 h at a temperature of 600 °C, where the pyrolysis of the adsorbate occurred. MSK was then immersed in a 1 M solution of KOH for 6 h and neutralized using 0.1 M HCl.

Biochar analysis and adsorption process

MSK 600 with a 150-mesh size (0.105 mm) was obtained using laboratory sieve shakers. To study the potential of the synthesized biochar for adsorption isotherm studies, a stock solution of MB of approximately 1,000 ppm was prepared. Removal of the dye using biochar by considering various parameters, including changes in the concentration of MB and the effect of biochar dosage on MB removal was investigated. The pH of the MB solution was adjusted using KOH, NaOH, and HCl, and adsorption parameters at different time intervals were also studied. The mixture of the biochar and MB was centrifuged, and the adsorption process was monitored using UV–visible spectrometry by measuring the absorbance. Calibration curves for MB were generated by measuring the absorbance at various concentrations using UV–Vis spectrometry. After the adsorption process, the residue of the char and MB was filtered using filter paper. Clean water was collected in another vessel, while the residue was left on the filter paper.

Surface area studies

Specific surface area is one of the important physical properties of porous materials. There are many ways to determine the specific surface area, which is vital for numerous responses. Commonly used methods include the gas adsorption method (such as the Brunauer–Emmett–Teller (BET) method) (Mohmmadkhani et al. 2016; Han et al. 2017), direct physical measurement by assuring the gas adsorption, NMR technique, SAXS curve, and X-ray diffraction. Surface area studies are helpful in water treatment, energy storage, gas adsorption, cation exchange capacity (CEC), and catalyst activity (Trickett et al. 2017).

For surface area studies, the adsorption capacity (Qmax) of the biochar is determined by monitoring the number of MB molecules adsorb onto the MSK surface. By measuring the adsorption capacity, the efficiency of the biochar was determined. Ax was the cross-sectional area of MB occupied by a single MB molecule on the biochar surface. The molecular weight of the MB was used to ensure that the adsorption sites were covered by the dye molecule.

The surface area of MSK-600 and charcoal was determined to compare the adsorption effect of MB with the following equation:
(4)
where Ax is the cross-sectional area of MB, which is 1.34 × 10−18, NA is Avogadro's number, and MW is the molecular weight of MB, which is 319.85. The surface area of charcoal and MSK-600 was calculated using the above equation. We also compared our results with other biochars for dye removal based on adsorption capacities.

Determination of λmax and calibration curve for MB

To find out the λmax for MB, a solution of 100 ppm concentration of MB was prepared. An initial absorbance was measured at different wavelengths ranging from 370 to 760 nm. Further, the maximum absorbance at wavelengths ranging from 660 to 670 nm was measured, as shown in Figure 1(a). So, the overall results showed that the λmax of MB was 664 nm. For the calibration curve, MB solution of 4, 8, 12, 16, and 20 ppm concentration were prepared and initial absorbance at the wavelength of 665 nm was checked.
Figure 1

(a) Absorbance spectra of MB at different wavelengths. (b) Calibration curve for MB.

Figure 1

(a) Absorbance spectra of MB at different wavelengths. (b) Calibration curve for MB.

Close modal
The calibration curves (Figure 1(b)) obtained had an R² value of 0.9846 using Equation (5):
(5)
From this, concentration was calculated using the formula (Equation (6)):
(6)

Adsorption studies of MB onto MSK-600

Effect of MB concentrations

A constant amount of biochar and different concentrations of the MB led to the adsorption of different MB concentrations over the MSK. Approximately 0.2 g of adsorbent MSK-600 was added into the 45, 125, 215, 280, 350, and 730 ppm solution of the MB to investigate its concentration effect on biochar. Maintaining a constant dosage of biochar while using a lower concentration of MB helped in the adsorption of MB over MSK resulting in covering the few active sites. Increasing the concentration of MB leads to fewer available adsorption sites, which negatively affects the adsorption process and results in reduced dye removal. The maximum percentage removal was shown at 45 ppm concentration, about 55%, using the MSK-600 (Figure 2(a)). However, as the concentration value of MB increases, the percentage of removal decreases. We prepared 250, 750, and 1,000 ppm concentrations solution of MB and added about 0.5 mg of MSK-600 in each solution. To compare the effect of the MSK-600 and charcoal on different concentrations of MB, we had the same concentrations of MB and added 0.5 g of charcoal in each solution. The minimum removal was shown at 730 ppm, about 21% (Figure 2(b)) due to the higher concentration of the MB. So, the overall results indicated that the removal percentage decreases if the same amount of adsorbent is added to the increasing MB concentration. Most of the surface was covered by MB molecules leaving no more adsorption site for other MB molecules; hence, no more adsorption process happened.
Figure 2

(a, b) Removal percentage of MB with increase in its concentration using MSK-600 and charcoal. Graphs illustrate the variation in MB removal percentage with increasing concentrations, comparing the performance of MSK-600 and charcoal as adsorbents. (c) Removal percentage using MSK-600 at different pH values (acidic to basic conditions) depicting the influence of pH on MB removal efficiency when employing MSK-600 as the adsorbent.

Figure 2

(a, b) Removal percentage of MB with increase in its concentration using MSK-600 and charcoal. Graphs illustrate the variation in MB removal percentage with increasing concentrations, comparing the performance of MSK-600 and charcoal as adsorbents. (c) Removal percentage using MSK-600 at different pH values (acidic to basic conditions) depicting the influence of pH on MB removal efficiency when employing MSK-600 as the adsorbent.

Close modal

Effect of pH

The effect of biochar on dye removal was demonstrated by changing the pH of MB, which influenced the interaction of biochar with MB. By changing the pH, we found out that, at slightly acidic and basic conditions, the adsorption process was a little bit changed due to the change in the nature of the dye. It was observed that the increase in the pH caused a slight change in the adsorption. pH was maintained using 0.1 M of KOH, NaOH, and HCl. The pH of the MB solution was monitored using a pH meter, and varying concentrations of KOH, NaOH, and HCl were added to adjust the pH as required. However, significant change was observed at different pH values. Results indicated that the pH changes had different effects on the percentage removal. The maximum removal was observed at slightly acidic and neutral pH, and it almost remained the same as absorbance in a slightly basic zone. The percentage removal was about 98% at pH 4, 97% at pH 7, and 94% at pH 10. So, the adsorbent–adsorbate interactions seem to have been least influenced by a change in pH. The minimum percentage removal occurs at the highest acidic pH, about 38% at pH 2, as shown in Figure 2(c). The percentage removal values decrease as the pH value increases from neutral to basic. The results indicated that the neutral pH condition, without any modifications, provided optimal performance. Furthermore, the findings suggested that the interaction between the adsorbent and the adsorbate varied across different pH levels, leading to enhanced dye removal.

Effect of dosage

After varying the concentration of MB with the same dosage amount of biochar, the effect of increasing the dosage of MSK biochar on the removal of MB was investigated. Maintaining the same MB concentration while increasing the dosage of biochar contributes to a higher percentage of dye removal due to the availability of more active sites for adsorption. About 0.2, 0.1, and 0.05 g of MSK were added to the 50-ppm solution. Due to the availability of active sites when 0.2 g of biochar was used, the maximum percentage removal was approximately 60%. As the dosage was lowered, the percentage removal decreased due to the reduced number of active sites. The percentage removal of MB using 0.1 g of MSK was about 51%. The minimum percentage removal was 21% when the dosage was 0.05 g. Overall, the results showed that the percentage removal increases with an increase in dosage weight (Figure 3(a)).
Figure 3

(a) Removal percentage of MB by increasing dosage of MSK-600 from 0.05 to 0.2 g. (b) Removal percentage of MB with respect to increase in the contact time of MSK-600 and MB.

Figure 3

(a) Removal percentage of MB by increasing dosage of MSK-600 from 0.05 to 0.2 g. (b) Removal percentage of MB with respect to increase in the contact time of MSK-600 and MB.

Close modal

Effect of contact time

To study the effect of biochar for the adsorption of MB at different time intervals, the 100-ppm solution of MB was taken and MSK-600 (0.1 g) was added in it. After 20 min of adding adsorbent, the first absorbance was checked. After different time intervals, i.e. 40, 60, and 80 min, further readings were taken. The more time allowed, the more collisions occurred, resulting in increased dye adsorption. However, after a certain period, the adsorption process stopped due to the saturation of all MB molecules on the biochar and equilibrium was achieved. The results indicated that as contact time increases, the percentage removal of MB also increases. The maximum removal percentage was about 30% at 80 min (Figure 3(b)). In contrast, the minimum removal percentage of MB was 12% after 20 min. So, overall, the results indicated that as contact time increased, the value of percentage removal of the methylene also increased. The maximum time for the interaction of the dye molecules with the adsorbent effectively promotes the diffusion of dye molecules onto biochar.

Isotherm studies

Different values for isotherm parameters were calculated using the adsorption data of MB on MSK-600. The obtained values for these isotherm parameters were utilized to construct graphs for isotherm studies, elucidating the adsorption behavior of MB by MSK-600. The logarithmic transformations of Ce (equilibrium concentration) and qe (amount of adsorbate adsorbed at equilibrium) were calculated using Equations (1)–(3). Tables 1 and 2 represent the different values calculated for the Langmuir, Freundlich, and Temkin isotherms using linear regression.

Table 1

Calculation of different concentrations for the Langmuir isotherm using linear regression

CfqelnCeCe/qe
20.14286 11.05952 3.00285 3.178571 
76.2857 24 4.334486 3.83905 
138.5714 36.09524 4.931386 7.453237 
222 29.7857 5.402677 6.945095 
275.5714 39.67857 5.618847 3.1785 
608.5714 57.32143 6.411114 3.83905 
CfqelnCeCe/qe
20.14286 11.05952 3.00285 3.178571 
76.2857 24 4.334486 3.83905 
138.5714 36.09524 4.931386 7.453237 
222 29.7857 5.402677 6.945095 
275.5714 39.67857 5.618847 3.1785 
608.5714 57.32143 6.411114 3.83905 
Table 2

Calculation of different concentrations for the Freundlich isotherm

logCelogqe
1.304121 1.043736 
1.882443 1.380211 
2.141674 1.55745 
2.346353 1.474008 
2.440234 1.598556 
2.784312 1.75834 
logCelogqe
1.304121 1.043736 
1.882443 1.380211 
2.141674 1.55745 
2.346353 1.474008 
2.440234 1.598556 
2.784312 1.75834 

The high correlations using the isotherms indicated a firm fit that supported the experimental data for the adsorption process. The Langmuir isotherm indicated the monolayer adsorption of MB with an R2 value of 0.9029 (Figure 4(a) and 4(b)). The Freundlich isotherm suggests the MB adsorption onto the homogenous mango seed char surface (Figure 4(c)). However, the Temkin isotherm indicated satisfactory adsorption fit, indicating the results that may suggest the chemical and physical adsorption of the MB using mango seed char (Figure 4(d)). Our results demonstrated that mango seed char is an effective adsorbent in removing MB.
Figure 4

Adsorption equilibrium concentrations of the MB onto the mango seed char demonstrated by linear regression (a,b) Langmuir isotherm and logarithmic expression, (c) Freundlich isotherm, and (d) Temkin isotherm for MSK-600.

Figure 4

Adsorption equilibrium concentrations of the MB onto the mango seed char demonstrated by linear regression (a,b) Langmuir isotherm and logarithmic expression, (c) Freundlich isotherm, and (d) Temkin isotherm for MSK-600.

Close modal

Nonlinear regression for isothermal studies

For nonlinear regression, Equations (1) and (2) were transformed into Equations (7) (Langmuir isotherm) and (8) (Freundlich isotherm) to determine the equilibrium adsorption capacity (qe).
(7)
(8)
The values calculated from these nonlinear forms provided optimal model fits, as shown in Table 3, indicating effective adsorption of MB molecules onto MSK-600. These parameters also yielded high correlation values, supporting the presence of both monolayer and multilayer adsorption on the biochar surface.
Table 3

Nonlinear regression calculations of qe for the Langmuir and Freundlich isotherms

Ceqe (Langmuir)qe (Freundlich)
20.1429 0.630227 43.66823 
76.2857 4.469658 132.4648 
138.571 10.59911 217.8342 
222 11.90713 322.6206 
275.571 17.95729 386.3015 
608.571 37.03579 747.5799 
Ceqe (Langmuir)qe (Freundlich)
20.1429 0.630227 43.66823 
76.2857 4.469658 132.4648 
138.571 10.59911 217.8342 
222 11.90713 322.6206 
275.571 17.95729 386.3015 
608.571 37.03579 747.5799 
By directly fitting the nonlinear forms of the isotherm equations to the experimental data, a higher R² value of 0.99 was obtained for the Langmuir and Freundlich isotherms (Figure 5(a) and 5(b)). The linear regression approach indicated a superior fit compared with other isotherm. This comparison also emphasizes the benefits of nonlinear regression for accurately modeling the adsorption of MB onto mango seed char, demonstrating its potential for reliable predictions and optimization of adsorption processes.
Figure 5

Adsorption equilibrium concentrations of the MB onto the mango seed char demonstrated by nonlinear regression (a) Langmuir and (b) Freundlich isotherms. These graphs provide visual confirmation of the high correlation achieved by the nonlinear regression.

Figure 5

Adsorption equilibrium concentrations of the MB onto the mango seed char demonstrated by nonlinear regression (a) Langmuir and (b) Freundlich isotherms. These graphs provide visual confirmation of the high correlation achieved by the nonlinear regression.

Close modal

Calculation of the surface area of MSK-600

From Equation (1), the Freundlich isotherm equation showed the maximum adsorption capacity. The calculated value of qmax was 67.56 mg/g, reflecting the adsorption ability of MB under the specific conditions of MSK. Applying the BET equation for the surface area by adding the cross-sectional area () and the molecular weight of MB, the surface calculated was 85.19 m2/g, indicating the adsorption sites for MB adsorption. The calculated adsorption capacity for MSK-600 was then compared with other biochar used for the removal of various dyes, as represented in Table 4. MSK-600 can be used for MB removal and other dyes, providing better adsorption capacity and making it competitive with other biochars.

Table 4

Biochars for dye removal with adsorption capacities

BiocharDyesAdsorption capacity
MSK powder Malachite green dye 22.8 mg/g (Singh et al. 2017
Clay biochar Methylene blue >20 mg/g (Liu et al. 2023
Municipal sludge modified Methylene blue 12.58 mg/g (Fan et al. 2016
Babassu coconut biochar methylene blue 67.6 mg/g (Kasemodel et al. 2022
Straw-sediment biochar Methylene blue and Sulfamethazine 5.55 mg/g (Zheng et al. 2023
Rattan sawdust Methylene blue 47.9 mg/g (Hameed et al. 2007
Lemon peel Eosin dye 8.240 mg/g (Bukhari et al. 2022
MSK biochar Methylene blue 67.56 mg/g (this work) 
BiocharDyesAdsorption capacity
MSK powder Malachite green dye 22.8 mg/g (Singh et al. 2017
Clay biochar Methylene blue >20 mg/g (Liu et al. 2023
Municipal sludge modified Methylene blue 12.58 mg/g (Fan et al. 2016
Babassu coconut biochar methylene blue 67.6 mg/g (Kasemodel et al. 2022
Straw-sediment biochar Methylene blue and Sulfamethazine 5.55 mg/g (Zheng et al. 2023
Rattan sawdust Methylene blue 47.9 mg/g (Hameed et al. 2007
Lemon peel Eosin dye 8.240 mg/g (Bukhari et al. 2022
MSK biochar Methylene blue 67.56 mg/g (this work) 

Adsorption studies of MB onto charcoal

To draw a comparison between charcoal and MSK methylene was adsorbed on the charcoal in the MB to study its surface area and adsorption studies through the isotherm. was calculated from Equation (1) which was 836 mg/g and by applying the cross-sectional area and molecular weight of MB, the surface calculated was 1,053 m2/g. The calculated surface area for charcoal was the same as reported in previous studies (Cao et al. 2006). Compared with charcoal, the difference in surface area and adsorption capacities of mango seed char proved to be the most potential candidate for the adsorption of the MB and the process could be repeated for the removal of other dyes for water treatment.

In this study, biochar derived from MSK pyrolyzed at 600 °C was used for the removal of MB. The adsorption capacity of 67.56 mg/g was determined by the Langmuir isotherm fitting. The adsorption and isotherm studies were compared with those of activated carbon (charcoal), highlighting improvements in water treatment through adsorption capacity and surface area. Despite the relatively low surface area of the mango seed char (85.19 m²/g), our findings suggest that surface area played a significant role in the adsorption process for MSK-600, effectively removing MB from wastewater and offering advantages over activated carbon. The results indicate that MSK-600 has potential as an alternative (bio)sorbent for water treatment applications.

The authors are grateful to the Department of Chemistry, University of Sahiwal, Pakistan, for granting access to their experimental facilities.

M.U.S.: Designed the material, performed the characterization, analyzed the data, and wrote the original manuscript. M.A.: Writing – review & editing and supervision.

All relevant data are included in the paper or its Supplementary Information.

The authors declare there is no conflict.

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