Next Article in Journal
Vision-Language Models for Zero-Shot Classification of Remote Sensing Images
Previous Article in Journal
Development and Investigation of the Hysteretic Behavior of an X-Shaped Metal Damper with an Oblique Angle
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Pyrolytic Modification of Avocado (Persea americana) Peel for the Enhancement of Cadmium(II) and Chromium(VI) Sorption Properties

by
Jarosław Chwastowski
* and
Paweł Staroń
*
Department of Engineering and Chemical Technology, Cracow University of Technology, 24 Warszawska St., 31-155 Kraków, Poland
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2023, 13(22), 12466; https://doi.org/10.3390/app132212466
Submission received: 31 October 2023 / Revised: 13 November 2023 / Accepted: 15 November 2023 / Published: 17 November 2023
(This article belongs to the Section Chemical and Molecular Sciences)

Abstract

:
The sorption process of chromium(VI) and cadmium(II) onto avocado peel (AP) and its pyrolyzed version (PAP) was carried out. The pyrolysis process was investigated in a tube furnace under inert gas conditions (argon) using a temperature equal to 750 °C. A constant mass of used materials and metal solution volume of 0.5 g and 20 cm3, respectively, were chosen for the investigation of the sorption process. Different isotherm models were fitted to describe the process parameters. According to the obtained results and the model that provided the best fit according to the correlation coefficient R2, the removal process is best described by the D-R model (R2 = 0.993 and 0.918; qd = 5.78 and 6.02 mg/g) for Cr(VI) and the Freundlich for Cd(II) ions (R2 = 0.999 and 0.911; Kf = 0.2712 and 0.2952 (mg1−(1/n)(dm(31/ng−1))) for AP and PAP, respectively). The highest level of adsorption capacities reached 6.0 (AP)–7.1 (PAP) and 9.7 (AP)–10.3 (PAP) mg/g for chromium and cadmium ions, respectively. The kinetic modeling showed that in all of the adsorption processes, the best-fitting model was the pseudo-second-order kinetic model, suggesting the occurrence of a chemical reaction between ions and the surface of the used materials.

1. Introduction

Nowadays, the increase in challenges and the growing need for new, sustainable technologies has led to a rise in the attention paid to the development of advanced supplies for pollution removal and the recovery of natural resources [1,2]. Environmental contamination by heavy metals, such as cadmium and chromium, has become an overwhelming problem due to their toxic effects on the environment and human health [3,4]. Both of these metal ions are among the most prevalent and hazardous pollutants originating from industrial, agricultural, and urban activities. Therefore, the development of efficient and sustainable approaches for their removal from contaminated environments like groundwater is imperative. Cadmium and chromium ions pollution has been linked to various adverse health effects, including carcinogenicity, teratogenicity, and mutagenicity, making their removal from water and soil a top priority in environmental remediation efforts [5,6]. Traditional methods for metal ion remediation, such as chemical precipitation and ion exchange, often suffer from limitations related to cost, sludge generation, and the potential release of secondary pollutants. Therefore, there is an increasing interest in studying innovative and sustainable technologies that can address these challenges effectively.
Pyrolysis is a thermochemical process involving the decomposition of organic materials at increased temperatures in the environment without an oxygen presence [7,8,9]. This method has emerged as a promising avenue for the modification of organic sorbent materials such as peat, coconut fiber, fruit peel, food waste, etc. Through pyrolytic modification, organic precursors can be transformed into materials with tailored surface properties, enhanced surface area, and improved sorption capabilities. Recent studies have shown that biochar (pyrolyzed organic matter) was successfully used in water (polluted with metal ions) due to its various sophisticated properties like surface area and charge or hydrophobicity [2,10,11]. Wei-Hsin et al., in their work, reviewed various biomass-derived biochars to see whether they were good materials for the removal of toxic ions [12]. Maia et al., in their work, used banana peel waste for producing biochar via pyrolysis for the removal of dye (methylene blue) from aqueous solutions [9]. A similar work was proposed by Lu et al., where the authors used roots of Ipomoea aquatica for methyl violet dye removal [13]. Suhaimi et al. carried out a test with the use of biochar produced from Gigantochloa bamboo for methylene blue dye remediation [14]. By controlling pyrolytic parameters such as temperature, time of contact, and composition, it is possible to manipulate the physicochemical properties of organic materials, resulting in sorbents that exhibit high affinity, selectivity, and capacity for metal ions [15].
This paper explores how pyrolytic modification can be applied to avocado peel to create new sorbent for the efficient remediation of Cd and Cr ions from wastewater and compares it to unmodified peel waste. The results were additionally evaluated by studying different isotherm and kinetic models showing the mechanisms concerning the sorption of Cd and Cr ions on both unmodified and pyrolytically modified avocado peel. Additionally, an assessment of the applicability of these materials in bioremediation processes is presented. In the future, the authors plan to use chemical modification of chosen fruit-peel-derived biochar to check adsorption properties against various heavy metal ions present in wastewater.

2. Materials and Methods

2.1. Chemicals and Biomass

The avocado peel waste was acquired from the local market (Kraków, Poland). The material was rinsed three times with deionized water and proceeded to be placed in an air dryer for 24 h at 105 °C. In the next step, the dry mass was ground and screened to acquire parts between 0.2 and 0.5 mm. All of the chemicals used in the study were of analytical grade and were obtained from Sigma-Aldrich (Steinheim, Germany). The solutions of chromium and cadmium ions, 50–100 mg/dm3, were prepared by dissolving prepared weights of potassium dichromate (K2Cr2O7) and cadmium(II) sulphate (CdSO4), respectively, in 250 cm3 of deionized water.

2.2. General Methods

To learn about the morphological structure of avocado peel and its pyrolyzed version prior to and after the Cd(II) and Cr(VI) ions sorption process, a scanning electron microscope (Hitachi TM-3000, Tokyo, Japan) equipped with an X-ray dispersion spectrometer was used. Additional information regarding the occurrence of different chemical groups was obtained using the FTiR-ATR method (Thermo Scientific, Nicolet iS5 spectrometer with the ATR iD7 attachment, Waltham, MA, USA). Every sample was checked between 400 and 4000 cm−1, with a resolution equal to 0.5 cm−1. The concentrations of resisting metal ions in the solutions were directly measured by means of AAS (atomic absorption spectrophotometry, Perkin-Elmer AAS Waltham, MA, USA). The elemental analysis CHN was performed using a Perkin Elmer CHN analyzer type 2400 (Waltham, MA, USA). A surface analysis was conducted with the use of Macrometrics ASAP 2010 (Norcross, GA, USA). In the first step of the process, the materials were dried at 110 °C under helium conditions for 8 h and then at 100 °C in a vacuum of 0.0001 Torr for 8 h.
The thermal stability of the sample was checked with the use of an EXSTAR SII TG/DTA 7300 model under an argon atmosphere. The heating rate was equal to 20 °C/min in a temperature range between 20 and 1000 °C.
The point of zero charge (PZC) values for AP and PAP were ascertained using the pH drift technique. To achieve this, a 0.01 M NaCl solution was prepared in 100 cm3 Erlenmeyer flasks, and its initial pH was adjusted within the range of 2 to 11 by employing 0.1 M HCl and 0.1 M NaOH. Additionally, 50 mg of PA and PAP were introduced into separate flasks and subjected to agitation for 48 h using an orbital shaker set at 150 rpm. The pH of the samples was then measured at specified intervals. Subsequently, these pH measurements were plotted against the initial pH values, and the PZC point was determined as the initial pH at which no change in the measured pH occurred.

2.3. Pyrolysis Process

The pyrolysis process was carried out in the laboratory tube furnace (Strohlein, Ofen 85, Germany). The amount of avocado peel used for the pyrolysis was equal to 100 g. The prepared sample was placed in a quartz tube with an external diameter of 100 mm and closed in an electric heating jacket and insulating materials employed to sustain the specified temperature of 750 °C throughout the pyrolysis procedure. To ensure the pyrolytic conditions, an inert gas (argon) was used through the whole process. The gas flow (10 L/h) was controlled with the flowmeter to provide stable environment. The process was carried out for approximately 4 h and then the temperature was gradually lowered until it reached the room temperature ~25 °C [11,16]. The mass of the obtained biochar was equal to 21.4 g. The biochar yield in this particular case is equal to 21.4%.

2.4. Sorption Process

The metal ion removal by the means of adsorption process was prepared in a batch system—60 cm3 polypropylene flasks. Approximately 0.5 g of AP and PAP and 20 cm3 of Cr(VI) and Cd(II) ions in different concentrations (50, 100, 150, 200, 300 mg/dm3, respectively) were used for each test in different variants. After 5, 10, 15, 30, 60 and 90 min of shaking on the rotary shaker (150 rpm) after the start of sorption, the portion of the solution was filtered through analytical paper filter and the concentration of residual chromium(VI) and cadmium(II) ions in the filtrate were examined with an AAS method. The maximum sorption capacity was calculated using equation:
q e = C 0 C e · V m e · 1000 ,
where V is the volume of solution (cm3) and me is the mass of sample (g). The tests were conducted in triplicates and results averaged—the mean standard error was not higher than 5%.

2.5. Sorption Equilibrium

In this work, 4 isotherm models were calculated to obtain the best fit to the acquired values from the experiments. The linearized equations used for their calculations are presented in Table 1.

2.6. Sorption Kinetic Modeling

The possibility of acquiring knowledge on the mechanism of the adsorption is possible by calculation of kinetics. This study presents the use of 3 different models such as the pseudo-first-order, pseudo-second-order, and Weber–Morris model. The above-mentioned models were carried out by differentiating the time of contact—5, 10, 15, 30, 60 and 90 min of Cr and Cd ions with sorbents. The linearized versions of the model equations are shown in Table 2.

2.7. Desorption Studies

The possibility to use sorbent more than once is a very important parameter. To obtain the information about the reusability of the sorbent 3 cycles of sorption/desorption were carried out. The acetic acid, citric acid, sodium chloride, and potassium chloride at a concentration of 0.1 M were used as eluents (additionally water as a control). The test was prepared as follows: To Erlenmeyer 250 cm3 flasks containing 1 g of AP and PAP, 100 cm3 of Cr(VI) and Cd(II) solutions (500 mg/dm3) were added, respectively. After 24 h, the probes were filtered and dried. Subsequently, the obtained samples were treated with the chosen eluent for 90 min. After a certain time, the ion concentration in the solution was checked by means of AAS. With the use of the equation presented below, the desorption degree was calculated:
R d e s = M s o l M s o r · 100 %
where Msol—metal content in solution after desorption (mg); Msor—metal content in sorbent after desorption (mg).

3. Results and Discussion

In Figure 1 one can see the SEM microphotographs of the AP and PAP samples before and after the sorption process. As can be noticed, the materials are characterized by the presence of various pores and diversified surfaces. The PAP compared to AP has a cavernous structure due to the changes during the temperature decomposition of organic compounds.
Studying the EDS (energy dispersive spectroscopy) analysis, the main occurring elements in the materials are oxygen and carbon, with potassium, silicon and phosphorus are also present. Additionally, an analysis of the materials after the sorption process shows the presence of chromium (Figure 1A–C) and cadmium ions (Figure 1E,F) on the material surface. This result is proof of adsorption occurrence on both used materials and ions.
Providing the CHN (carbon, hydrogen, nitrogen) analysis, it was possible to calculate the percentage of the occurring main elements. Using the dry state of the sample, the results for the unmodified avocado peel are presented in Table 3.
As can be seen, the carbonization process led to an increase in the mass fraction of carbon and a decrease in the mass fraction of oxygen in the sample, which is in accordance with literature data [8,17,18].
To gain the information connected with the specific surface area, a BET (Brunauer–Emmett–Teller isotherm) analysis was performed. The surface area of the avocado peel was equal to 4.57 m2/g and 9.70 m2/g for the pyrolyzed material. Due to the pyrolysis time, there is a possibility that the present micropores widened up, leading to the low value of the specific surface area, which is in accordance with the microporous structure of the PAP [19].
The FTIR (Fourier transform infrared spectroscopy) spectrum provided in Figure 2 of PA prior and after metal ion sorption exhibits various characteristic peaks of the cellulous structure that are absent in the PAP version of the material, suggesting that the pyrolysis process transformed avocado peel into biochar. Additionally, changes in the peaks suggest the occurrence of bonding between the material surface and the metal ions after the adsorption process.
Analyzing the FTIR scheme provided in Figure 2, it can be seen that there is a presence of a band in 3300–3500 cm−1 (AP) that is related to the stretching vibrations of hydroxyl (OH) groups, which are common in the carbohydrates and cellulose found in plant material. The band in the range 2800–3000 cm−1 is associated with the stretching vibrations of aliphatic C–H bonds, which are present in lipids and carbohydrates. Region 1700–1750 cm−1 corresponds to the stretching vibrations of carbonyl (C=O) groups, often found in esters, ketones, and aldehydes. C–O stretch (1000–1200 cm−1): this region includes stretching vibrations of C–O bonds in various functional groups like alcohols, ethers, and esters, common in plant polysaccharides. Cellulose peaks (around 1200–1100 cm−1): specific peaks in this region are indicative of cellulose, a major component of plant cell walls. The FTIR spectrum of avocado peel after pyrolysis shows changes in the above-mentioned bands due to the thermal degradation and conversion of organic matter into char. Decrease in O–H and C–H bands: the broad O–H and C–H bands decrease in intensity or shift due to the removal of volatile organic compounds during pyrolysis. Increase in C=O bands: An increase in the intensity of C=O bands is observed due to the formation of carbonyl-containing compounds during pyrolysis. The peaks associated with cellulose decreased in intensity, indicating the breakdown of cellulose during the pyrolysis process. Studying the FTIR scheme, it can be observed that after the sorption process of both Cd and Cr ions, there are significant differences in peak size and shifting, showing that in the process of removal, chemical bonding took place.
The chemical composition of used biomass is the main factor by which pyrolysis is affected. The thermal analysis of avocado peel was conducted using TGA (Figure 3). The TGA and DTG curves of AP show two main stages of weight loss: The first one starts in the 15th minute of the process, which corresponds to the temperature range between 300 and 400 °C. The second one starts after 20 min, which equals 450–500 °C and corresponds to the oxidation of solid carbon material and residual volatile matter. These results are similar to those obtained by Young-min Kim et al. In their manuscript, the authors used Citrus unshiu peel for the thermogravimetric analysis [20]. Chen et al. reported that the pectin and hemicellulose decomposition is in the range between 250 and 350 °C, which shows similarities to the results obtained in this manuscript [21].
To acquire information about the pH for highest sorption capacity and metal ion removal, the PZC (point of zero charge) was computed for both AP and PAP material. The point of zero charge (PZC) is defined as the pH value at which the surface charge of the adsorbent becomes neutral. To determine the PZC, a graph is created by plotting the pH variations in the solution against the initial pH. The PZC is identified as the pH at which this plot intersects the pH value of 0. In this case, we found that the point of zero charge for AP was around 6.81 and 9.84 for PAP (Figure 4). These results show that there were basic groups resulting in the presence of a positive charge on the biochar surface. When the pH of the solution is below the PZC, the material’s surface carries a positive charge resulting from the protonation of acidic groups. This leads to reduced metal sorption because of the electrostatic repulsion between the ions and the functional groups on the surface [22].

3.1. Adsorption Isotherms and Kinetics

The sorption process of two metal ions and two materials was determined with the use of Langmuir, Freundlich, Temkin, and Dubinin–Radushkevich isotherms. According to the obtained results, the highest correlation coefficient was fitted to the D-R isotherm model for both AP and PAP and Cr(VI) ions (R2 = 0.99 and 0.91, respectively) and the Freundlich model for Cd(II) ions (R2 = 0.99, and 0.91, respectively). The obtained results for the isotherm models are presented in Table 4. Additionally, it can be seen that the 1/n parameter is lower than 1 in each of the experiments, suggesting that the adsorption process is of a chemical nature.
To acquire knowledge about the characteristics of the mechanism of the removal process by the means of adsorption, the kinetics studies were carried out. To compare different kinetic models, the correlation coefficient was calculated for each chosen model. Three mainly used models were used: the pseudo-first-order, pseudo-second-order, and Weber–Morris model. According to the obtained results, the highest fit was with the PSO model (pseudo second rate). On Figure 5 and Table 5, the PSO scheme and parameters for all used concentrations for both Cr(VI) and Cd(III) and AP and PAP are presented. Studying the obtained results, one can see that the rate-limiting step is due to the surface adsorption–chemical binding of ions on the surface of chosen materials both before and after the pyrolysis process. This thesis is also supported by the changes in infrared spectra after ion removal. The lower values for the PSO constant can be connected with the high affinition of metal ions to the functional groups on the material surface [23]. Moreover, the calculated values of maximum sorption capacity qe are close to those obtained from the experiments. This fact proves the correctness of the pseudo second-rate order model for this phenomenon. Obey et al. in their work used biochar derived from the non-customized matamba fruit shell for the wastewater treatment, where the PSO demonstrated the highest fit [24]. Ahmad and colleagues presented a study of methylene blue removal with the use of rice husk, cow dung, and sludge biochar, also providing information that the pseudo-second-order had the highest correlation coefficient [25].
The adsorption mechanism can be connected with the surface complexation in which the pH value is slightly reduced after the removal process due to the displaced protons from the carbon surface. On the other hand, in this study, we did not see lowered pH of the solutions after interacting with sorbents. Thus, this phenomenon is probably not a complexation especially when studying the FTIR spectrum. Peaks corresponding to the C=C and C=O stretching vibration are lowered in both cases of Cr and Cd ions, which might be responsible for the delocalization of π electrons resulting in adsorption through Cπ-cation interactions. In Table 6, one can see the sorption capacities of other biosorbents used for the removal of toxic metal ions from wastewater.

3.2. Sorption/Desorption

The reusability of materials is crucial for bioremediation technology; thus, sorption and desorption studies were performed. Three cycles were conducted and the results are presented in Table 7, as it is well known that the choice of eluent has a high impact on the ions desorption percentage. In this particular study, citric acid had the highest efficiency for the removal both of Cr(VI) and Cd(II) ions from AP and PAP material. Water was used as a control eluent and no desorption of ions was observed, which also proves the chemical nature of the adsorption process.

4. Conclusions

The biochar derived from the avocado peel effectively removed both Cr(VI) and Cd(II) metal ions from the aqueous solutions. This process is best described by the pseudo-second-order kinetic model for both used materials and ions. The equilibrium adsorption isotherms with the highest fit are Freundlich for Cr(VI) ions and Dubinin–Radushkevich for Cr(II) ions. The process was very rapid at the beginning and most of the metal ions were removed in the first minutes of the process for both AP and PAP. The maximum sorption capacity qe values for Cr(VI) and Cd(II) were equal to 6 mg/g; 9.7 mg/g for AP and 7.1 mg/g; 10.28 mg/g for PAP, showing a slightly higher capacity of biochar compared to untreated peel. According to the kinetics, the mechanism adsorption of both used metal ions and materials might involve chemisorption and Cπ-cation interaction. The values obtained from sorption/desorption studies show that this material can be used multiple times without significant loss in its sorption capacity. We conclude that this material both before and after the pyrolysis process can be used as an effective, low-cost, and environmentally friendly sorbent for heavy metal removal from aqueous solutions.

Author Contributions

Conceptualization, J.C.; methodology, J.C. and P.S.; validation, J.C.; investigation, J.C. and P.S.; data curation, J.C. and P.S.; writing—original draft, J.C.; writing—review and editing, J.C.; visualization, P.S.; supervision, J.C. and P.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available in the article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Bradu, P.; Biswas, A.; Nair, C.; Sreevalsakumar, S.; Patil, M.; Kannampuzha, S.; Mukherjee, A.G.; Wanjari, U.R.; Renu, K.; Vellingiri, B.; et al. Recent Advances in Green Technology and Industrial Revolution 4.0 for a Sustainable Future. Environ. Sci. Pollut. Res. 2022. [Google Scholar] [CrossRef] [PubMed]
  2. Ahmad, T.; Danish, M. A Review of Avocado Waste-Derived Adsorbents: Characterizations, Adsorption Characteristics, and Surface Mechanism. Chemosphere 2022, 296, 134036. [Google Scholar] [CrossRef] [PubMed]
  3. Pirhadi, M.; Shariatifar, N.; Bahmani, M.; Manouchehri, A. Heavy Metals in Wheat Grain and Its Impact on Human Health: A Mini-Review. J. Chem. Heal. Risks 2022, 12, 421–426. [Google Scholar] [CrossRef]
  4. Alengebawy, A.; Abdelkhalek, S.T.; Qureshi, S.R.; Wang, M.Q. Heavy Metals and Pesticides Toxicity in Agricultural Soil and Plants: Ecological Risks and Human Health Implications. Toxics 2021, 9, 42. [Google Scholar] [CrossRef] [PubMed]
  5. Mitra, S.; Chakraborty, A.J.; Tareq, A.M.; Emran, T.B.; Nainu, F.; Khusro, A.; Idris, A.M.; Khandaker, M.U.; Osman, H.; Alhumaydhi, F.A.; et al. Impact of Heavy Metals on the Environment and Human Health: Novel Therapeutic Insights to Counter the Toxicity. J. King Saud Univ. Sci. 2022, 34, 101865. [Google Scholar] [CrossRef]
  6. Salomón-Negrete, M.Á.; Reynel-Ávila, H.E.; Mendoza-Castillo, D.I.; Bonilla-Petriciolet, A.; Duran-Valle, C.J. Water Defluoridation with Avocado-Based Adsorbents: Synthesis, Physicochemical Characterization and Thermodynamic Studies. J. Mol. Liq. 2018, 254, 188–197. [Google Scholar] [CrossRef]
  7. Bolan, N.; Hoang, S.A.; Beiyuan, J.; Gupta, S.; Hou, D.; Karakoti, A.; Joseph, S.; Jung, S.; Kim, K.H.; Kirkham, M.B.; et al. Multifunctional Applications of Biochar beyond Carbon Storage. Int. Mater. Rev. 2022, 67, 150–200. [Google Scholar] [CrossRef]
  8. Wang, H.; Li, Z.; Yahyaoui, S.; Hanafy, H.; Seliem, M.K.; Bonilla-Petriciolet, A.; Luiz Dotto, G.; Sellaoui, L.; Li, Q. Effective Adsorption of Dyes on an Activated Carbon Prepared from Carboxymethyl Cellulose: Experiments, Characterization and Advanced Modelling. Chem. Eng. J. 2021, 417, 128116. [Google Scholar] [CrossRef]
  9. Maia, L.S.; Duizit, L.D.; Pinhatio, F.R.; Mulinari, D.R. Valuation of Banana Peel Waste for Producing Activated Carbon via NaOH and Pyrolysis for Methylene Blue Removal. Carbon Lett. 2021, 31, 749–762. [Google Scholar] [CrossRef]
  10. Liu, Z.; Zhang, F.S. Removal of Lead from Water Using Biochars Prepared from Hydrothermal Liquefaction of Biomass. J. Hazard. Mater. 2009, 167, 933–939. [Google Scholar] [CrossRef]
  11. Lucaci, A.R.; Bulgariu, D.; Ahmad, I.; Lisa, G.; Mocanu, A.M.; Bulgariu, L. Potential Use of Biochar from Variouswaste Biomass as Biosorbent in Co(II) Removal Processes. Water 2019, 11, 1565. [Google Scholar] [CrossRef]
  12. Chen, W.H.; Hoang, A.T.; Nižetić, S.; Pandey, A.; Cheng, C.K.; Luque, R.; Ong, H.C.; Thomas, S.; Nguyen, X.P. Biomass-Derived Biochar: From Production to Application in Removing Heavy Metal-Contaminated Water. Process Saf. Environ. Prot. 2022, 160, 704–733. [Google Scholar] [CrossRef]
  13. Lu, Y.C.; Kooh, M.R.R.; Lim, L.B.L.; Priyantha, N. Effective and Simple NaOH-Modification Method to Remove Methyl Violet Dye via Ipomoea Aquatica Roots. Adsorpt. Sci. Technol. 2021, 2021, 5932222. [Google Scholar] [CrossRef]
  14. Suhaimi, N.; Kooh, M.R.R.; Lim, C.M.; Chou Chao, C.T.; Chou Chau, Y.F.; Mahadi, A.H.; Chiang, H.P.; Haji Hassan, N.H.; Thotagamuge, R. The Use of Gigantochloa Bamboo-Derived Biochar for the Removal of Methylene Blue from Aqueous Solution. Adsorpt. Sci. Technol. 2022, 2022, 8245797. [Google Scholar] [CrossRef]
  15. Nzediegwu, C.; Arshad, M.; Ulah, A.; Naeth, M.A.; Chang, S.X. Fuel, Thermal and Surface Properties of Microwave-Pyrolyzed Biochars Depend on Feedstock Type and Pyrolysis Temperature. Bioresour. Technol. 2021, 320, 124282. [Google Scholar] [CrossRef]
  16. Worzakowska, M.; Sztanke, M.; Sztanke, K. Thermal Properties and Decomposition Mechanism of Disubstituted Fused 1,2,4-Triazoles Considered as Potential Anticancer and Antibacterial Agents. J. Therm. Anal. Calorim. 2022, 147, 14315–14327. [Google Scholar] [CrossRef]
  17. Zhao, J.; Yu, L.; Ma, H.; Zhou, F.; Yang, K.; Wu, G. Corn Stalk-Based Activated Carbon Synthesized by a Novel Activation Method for High-Performance Adsorption of Hexavalent Chromium in Aqueous Solutions. J. Colloid Interface Sci. 2020, 578, 650–659. [Google Scholar] [CrossRef]
  18. Sidi-Yacoub, B.; Oudghiri, F.; Belkadi, M.; Rodríguez-Barroso, R. Characterization of Lignocellulosic Components in Exhausted Sugar Beet Pulp Waste by TG/FTIR Analysis. J. Therm. Anal. Calorim. 2019, 138, 1801–1809. [Google Scholar] [CrossRef]
  19. Plaza, M.G.; González, A.S.; Pevida, C.; Pis, J.J.; Rubiera, F. Valorisation of Spent Coffee Grounds as CO2 Adsorbents for Postcombustion Capture Applications. Appl. Energy 2012, 99, 272–279. [Google Scholar] [CrossRef]
  20. Kim, Y.-M.; Lee, H.W.; Kim, S.; Watanabe, C.; Park, Y.-K. Non-Isothermal Pyrolysis of Citrus Unshiu Peel. Bioenergy Res. 2015, 8, 431–439. [Google Scholar] [CrossRef]
  21. Chen, B.; Chen, Z. Sorption of Naphthalene and 1-Naphthol by Biochars of Orange Peels with Different Pyrolytic Temperatures. Chemosphere 2009, 76, 127–133. [Google Scholar] [CrossRef] [PubMed]
  22. Tran, H.N.; You, S.J.; Chao, H.P. Effect of Pyrolysis Temperatures and Times on the Adsorption of Cadmium onto Orange Peel Derived Biochar. Waste Manag. Res. 2015, 34, 129–138. [Google Scholar] [CrossRef] [PubMed]
  23. Hubbe, M.A.; Azizian, S.; Douven, S. Implications of Apparent Pseudo-Second-Order Adsorption Kinetics onto Cellulosic Materials: A Review. BioResources 2019, 14, 7582–7626. [Google Scholar] [CrossRef]
  24. Obey, G.; Adelaide, M.; Ramaraj, R. Biochar Derived from Non-Customized Matamba Fruit Shell as an Adsorbent for Wastewater Treatment. J. Bioresour. Bioprod. 2022, 7, 109–115. [Google Scholar] [CrossRef]
  25. Ahmad, A.; Khan, N.; Giri, B.S.; Chowdhary, P.; Chaturvedi, P. Removal of Methylene Blue Dye Using Rice Husk, Cow Dung and Sludge Biochar: Characterization, Application, and Kinetic Studies. Bioresour. Technol. 2020, 306, 123202. [Google Scholar] [CrossRef]
  26. Babel, S.; Kurniawan, T.A. Cr(VI) Removal from Synthetic Wastewater Using Coconut Shell Charcoal and Commercial Activated Carbon Modified with Oxidizing Agents and/or Chitosan. Chemosphere 2004, 54, 951–967. [Google Scholar] [CrossRef]
  27. Selvi, K.; Pattabhi, S.; Kadirvelu, K. Removal of Cr(VI) from Aqueous Solution by Adsorption onto Activated Carbon. Bioresour. Technol. 2001, 80, 87–89. [Google Scholar] [CrossRef]
  28. Tripathy, S.; Sahu, S.; Patel, R.K.; Panda, R.B.; Kar, P.K. Efficient Removal of Cr(VI) by Polyaniline Modified Biochar from Date (Phoenix dactylifera) Seed. Groundw. Sustain. Dev. 2021, 15, 100653. [Google Scholar] [CrossRef]
  29. Walmsley, T.G.; Varbanov, P.S.; Su, R.; Klemeš, J.J.; Sirusbakht, S.; Vafajoo, L.; Soltani, S.; Habibi, S. Sawdust Bio Sorption of Chromium (VI) Ions from Aqueous Solutions. Chem. Eng. Trans. 2018, 70, 1147–1152. [Google Scholar] [CrossRef]
  30. Mohan, D.; Pittman, C.U.; Bricka, M.; Smith, F.; Yancey, B.; Mohammad, J.; Steele, P.H.; Alexandre-Franco, M.F.; Gómez-Serrano, V.; Gong, H. Sorption of Arsenic, Cadmium, and Lead by Chars Produced from Fast Pyrolysis of Wood and Bark during Bio-Oil Production. J. Colloid Interface Sci. 2007, 310, 57–73. [Google Scholar] [CrossRef]
  31. Kim, W.-K.; Shim, T.; Kim, Y.-S.; Hyun, S.; Ryu, C.; Park, Y.-K.; Jung, J. Characterization of Cadmium Removal from Aqueous Solution by Biochar Produced from a Giant Miscanthus at Different Pyrolytic Temperatures. Bioresour. Technol. 2013, 138, 266–270. [Google Scholar] [CrossRef] [PubMed]
  32. Yakkala, K.; Yu, M.R.; Roh, H.; Yang, J.K.; Chang, Y.Y. Buffalo Weed (Ambrosia trifida L. var. trifida) Biochar for Cadmium (II) and Lead (II) Adsorption in Single and Mixed System. Desalin. Water Treat. 2013, 51, 7732–7745. [Google Scholar] [CrossRef]
  33. Kołodyńska, D.; Wnetrzak, R.; Leahy, J.J.; Hayes, M.H.B.; Kwapiński, W.; Hubicki, Z. Kinetic and Adsorptive Characterization of Biochar in Metal Ions Removal. Chem. Eng. J. 2012, 197, 295–305. [Google Scholar] [CrossRef]
Figure 1. SEM-EDS microphotographs of AP (AC) and PAP (DF).
Figure 1. SEM-EDS microphotographs of AP (AC) and PAP (DF).
Applsci 13 12466 g001
Figure 2. Fourier transform infrared (FTIR) spectra of materials prior and after the sorption process.
Figure 2. Fourier transform infrared (FTIR) spectra of materials prior and after the sorption process.
Applsci 13 12466 g002
Figure 3. TG analysis of avocado peel (AP).
Figure 3. TG analysis of avocado peel (AP).
Applsci 13 12466 g003
Figure 4. Point of zero charge of AP and PAP.
Figure 4. Point of zero charge of AP and PAP.
Applsci 13 12466 g004
Figure 5. Pseudo-second-order kinetic rate model for AP (A,B) and PAP (C,D), Cr(VI) (A,C) and Cd(II) (B,D) adsorption.
Figure 5. Pseudo-second-order kinetic rate model for AP (A,B) and PAP (C,D), Cr(VI) (A,C) and Cd(II) (B,D) adsorption.
Applsci 13 12466 g005
Table 1. Linearized equations of Langmuir, Freundlich, Temkin and Dubinin–Radushkevich isotherm models.
Table 1. Linearized equations of Langmuir, Freundlich, Temkin and Dubinin–Radushkevich isotherm models.
ModelEquation
Langmuir C e q e = C e q m a x + 1 b · q m a x (2)
Freundlich l o g   q e = l o g K f + 1 n l o g   C e (3)
Temkin q e = B ln K t + B ln C e (4)
B = R T b t (5)
Dubinin–Radushkevich q e = q d exp K a d ɛ 2 (6)
ɛ = R T l n ( 1 + 1 C e )(7)
Where Ce—metal ion concentration in equilibrium (mg/dm3); qe—sorption capacity in equilibrium (mg/g); qmax—maximum sorption capacity (mg/g); b—Langmuir constant (dm3/mg); Kf—Freundlich constant (mg1−(1/n)(dm3)1/ng−1); n—heterogeneity coefficient; Kt—constant binding equilibrium responsible for the maximum binding energy (dm3/g); B—constant associated with the sorption heat (J/mol); R—gas constant (8.314 J mol/K); T—temperature (K); bt—Temkin isotherm constant; qd—theoretical isotherm saturation capacity (mg/g); Kad—Dubinin–Radushkevich isotherm constant (mol2/kJ2); ɛ—D-R isotherm constant.
Table 2. Linearized equation of sorption kinetic models.
Table 2. Linearized equation of sorption kinetic models.
ModelEquation
Pseudo first-rate order log q e q t = l o g q e k 1 2.303 t (8)
Pseudo second-rate order t q t = 1 k 2 q e 2 + t q e (9)
Weber–Morris q t = K i d   t 0.5 + I (10)
Where k1—pseudo-first-order kinetics constant (1/min); k2—pseudo-second-order kinetics constant; Kid—the intra-particle diffusion rate constant (mg/g min0.5); I—intercept of the line in the Weber–Morris model.
Table 3. Percentage of Carbon, Hydrogen, Nitrogen, and Oxygen occurring in the AP and PAP.
Table 3. Percentage of Carbon, Hydrogen, Nitrogen, and Oxygen occurring in the AP and PAP.
AP (%)
CHNO
10.52.81.185.6
PAP (%)
CHNO
76.21.83.418.6
Table 4. Parameters of sorption isotherm models.
Table 4. Parameters of sorption isotherm models.
ParameterAPPAP
Cr(VI)Cd(II)Cr(VI)Cd(II)
Freundlich
R20.8370.9990.7100.911
KF(mg1−(1/n)(dm3)1/ng−1)0.22010.27120.36690.2952
1/n0.73920.88610.70470.9684
Dubinin–Radushkevich
R20.9930.8280.9180.8305
qd [mg/g]5.786.916.027.50
Kd [mol2/kJ2]−0.00010.0000−0.0006−0.0007
Langmuir
R20.63260.78850.48030.0850
Kl0.01040.00770.01390.00421
Temkin
R20.9580.94120.83350.9023
B2.24884.03092.59404.7241
Kt0.14130.15490.20010.1854
Table 5. Results obtained for the pseudo-second-order rate kinetic model.
Table 5. Results obtained for the pseudo-second-order rate kinetic model.
ParameterAPPAP
Cr(VI) concentration [mg/dm3]
5010015020030050100150200300
PSO
qe1.44302.40844.40754.76657.59370.56241.88985.25755.39367.4058
k20.01270.08220.37790.09390.00820.23530.13260.21970.07620.0154
R20.96520.98151.00000.99560.99040.89310.84990.99980.99510.9969
ParameterAPPAP
Cd(II) concentration [mg/dm3]
5010015020030050100150200300
PSO
qe3.44734.88135.95137.588511.69583.79224.72085.77337.869312.0486
k20.82730.43680.17210.06240.01940.49910.14930.10440.02900.0051
R21.00001.00001.00000.99920.99701.00000.99980.99990.99230.9928
ParameterAPPAP
Cr(VI) concentration [mg/dm3]
5010015020030050100150200300
PFO
qe0.7393.9152.44713.9469.8010.3540.5620.9831.3305.278
k10.02260.18640.24410.35520.12140.06520.02840.10400.04100.0722
R20.93320.94810.96090.79670.95560.98650.76610.84910.87550.9836
ParameterAPPAP
Cd(II) concentration [mg/dm3]
5010015020030050100150200300
PFO
qe0.3740.3441.0462.5356.6590.3960.8751.4013.5488.718
k10.12460.05690.07850.09220.09160.08490.05370.06630.08540.0605
R20.97550.93960.95680.80850.87170.84870.98300.98820.76880.9738
ParameterAPPAP
Cr(VI) concentration [mg/dm3]
5010015020030050100150200300
Weber–Morris
I-0.14630.94953.85552.88760.41100.15961.10814.40203.68071.7692
kid0.11790.18290.07540.25790.77340.04760.08700.11400.20570.6525
R20.95440.82460.72310.60110.88560.89380.94130.71350.94070.9043
ParameterAPPAP
Cd(II) concentration [mg/dm3]
5010015020030050100150200300
Weber–Morris
I3.18754.49194.91554.81345.21143.38783.71544.31123.47150.7694
kid0.03560.04950.13590.37560.81960.05460.12480.18400.57161.1932
R20.67350.87120.77600.59490.75250.70820.94070.90980.56120.9178
Table 6. Comparison of sorption capacities of biochar derived from various biosorbents.
Table 6. Comparison of sorption capacities of biochar derived from various biosorbents.
Biochar MaterialSorption Capacity (mg/g)
Cr(VI)Cd(II)
PAP7.512
Coconut shells2 [26]
Sawdust3.2 [27]
Modified date seed biochar 27 [28]
Coconut tree sawdust3.46 [29]
Oakwood char 0.37 [30]
Miscanthus sacchariflorus 11 [31]
Buffalo weed 11.63 [32]
Pig manure biochar 107 [33]
Table 7. Percentage of Cr(VI) and Cd(II) elution from AP and PAP with the use of different eluents, respectively.
Table 7. Percentage of Cr(VI) and Cd(II) elution from AP and PAP with the use of different eluents, respectively.
Elution [%]
EluentCycle 1 Cycle 2Cycle 3
AP
Cr(VI)Cd(II)Cr(VI)Cd(II)Cr(VI)Cd(II)
Citric acid758179747178
Acetic acid526461665553
Sodium chloride243127292126
Water0.40.30.10.20.10.1
PAP
Citric acid777975828172
Acetic acid555857636155
Sodium chloride201922212719
Water0.20.10.30.20.20.3
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Chwastowski, J.; Staroń, P. Pyrolytic Modification of Avocado (Persea americana) Peel for the Enhancement of Cadmium(II) and Chromium(VI) Sorption Properties. Appl. Sci. 2023, 13, 12466. https://doi.org/10.3390/app132212466

AMA Style

Chwastowski J, Staroń P. Pyrolytic Modification of Avocado (Persea americana) Peel for the Enhancement of Cadmium(II) and Chromium(VI) Sorption Properties. Applied Sciences. 2023; 13(22):12466. https://doi.org/10.3390/app132212466

Chicago/Turabian Style

Chwastowski, Jarosław, and Paweł Staroń. 2023. "Pyrolytic Modification of Avocado (Persea americana) Peel for the Enhancement of Cadmium(II) and Chromium(VI) Sorption Properties" Applied Sciences 13, no. 22: 12466. https://doi.org/10.3390/app132212466

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop