Solid waste management (SWM) is one of the biggest concerns of society and agricultural waste is generated in vast amounts. In this study removal of Cu and Cr from wastewater using chemically modified apple peels was studied by following batch sorption experiments. Effects of metal concentration, adsorbent dose, pH, temperature and contact duration on the adsorption of Cu & Cr were investigated by using atomic adsorption spectrophotometer (AAS). SEM & EDX analysis of the adsorbents were recorded to study the morphology of the prepared adsorbents. Qmax value of apple peels is 25 for Cr and 22 for Cu, while for apple peel charcoal it is 33 for Cr and 47 for Cu, for treated apple peels Qmax is 50 for Cr and 52 for Cu adsorption. The data was processed using pseudo first, second order kinetic and intraparticle diffusion. Results depicted that the calculated adsorption capacities (qecal) were found to be close to the experimental values (qecal) by following pseudo-second-order kinetics. The applicability of the Langmuir and Freundlich adsorption isotherms was tested. Results showed that the Langmuir model is best fitted on adsorption data because regression factor R2 values are good for the Langmuir model.

  • This study focuses on efficient removal of Cr and Cu from wastewater using solid waste.

  • These prepared adsorbents are eco-friendly and non hazardous.

  • Maximum adsorption capacity (Qmax) up to 50 for Cr and 52 for Cu for treated apple peels is observed.

  • Calculated adsorption capacities (qecal) were found to be close to the experimental values (qecal) by following pseudo-second-order kinetics.

Water makes up 65% of our bodies and covers up to 71% of Earth's surface. Clean water for drinking, bathing and other uses is a basic necessity of society. Contaminated water loses its aesthetic as well as economic value and it can be dangerous for the survival of aquatic creatures that rely on it. Wastewater is defined as water that carries solid or liquid waste gathered from industries, houses and institutions as well as from storm water, ground water or surface water. Wastewater contains high concentrations of organic materials, inorganic compounds, minerals, sediments, oxygen demanding waste, plant growth nutrients, pathogenic and disease producing agents. It could also include poisonous substances (Sonune & Ghate 2004). Wastewater contains toxic heavy metals. Heavy metals are described as metallic elements with a density that is higher than that of water, generally more than 5 g/cm3. There are many elements included in this category such as copper, chromium, zinc, lead, mercury, arsenic, nickel and cadmium. This can cause disorders of the joints, such as rheumatoid arthritis, as well as diseases of the nervous system, kidney, lungs and circulatory system, and fetal brain damage. It can create serious mental disorders at higher levels (Polat & Erdogan 2007).

This study focuses on the removal of copper and chromium from wastewater. Chromium is a hazardous metal that is present in waste streams. Tanning, dyeing, explosives, painting, pottery, wood processing, and the paper industry have all employed it. It is present in the form of both Cr (III) and Cr (VI). One of the most hazardous forms of chromium is hexavalent chromium (Enniya et al. 2018). When Cr (VI) is present in amounts higher than 0.05 mg/L for potable water or 0.1 mg/L in water used for various purposes, it causes health problems such as skin allergies, liver, stomach and kidney injuries, and lung cancer (Ajmani et al. 2019).

Copper is an element that occurs naturally and is found in drinking water. Stagnation of water in copper and copper alloy-containing pipes and fittings in distribution systems and domestic plumbing allows leaching and raises copper levels in the water (National Research Council 2000). Copper poisoning can result in vomiting, diarrhea, nausea and stomach cramps. Copper is more readily retained in the bodies of some newborns and children, people with liver disease, and those with Wilson's disease who are more prone to have negative health impacts such as kidney and liver damage (Demiral & Güngör 2016). In Pakistan the pollution status of various heavy metals is of great concern. Pakistan is facing different environmental and health problems due to copper and chromium pollution. The discharge of different industrial, municipal and medical waste in lakes and rivers increases this pollution (Waseem et al. 2014).

Solid waste management (SWM) is one of the biggest concerns of the modern world. The issue is not limited to a particular location; rather it affects many aspects of the ecosystem, resulting in harmful contaminants. SWM in both urban and rural regions is a serious issue in developing countries (Shah et al. 2012). Solid waste includes agricultural waste, household hazardous waste, medical waste and industrial waste. Agricultural wastes have recently been shown to be a good alternative for heavy metal adsorption from wastewater (Prastuti et al. 2019). Various studies were conducted on the use of low cost agricultural waste including sawdust, rice husk, sugarcane bagasse, coconut husk, neem bark, and oil palm shell, for heavy metal removal from wastewater (Obi et al. 2016). For this purpose adsorption is generally regarded as a cost-effective and reliable wastewater treatment technology. Adsorption is the deposition of molecular species on the surface of an adsorbent. The molecular species that is adsorbed on the surface is referred to as the adsorbate, while the surface on which adsorption occurs is referred to as the adsorbent. In this study apple peels are used as a natural adsorbent for the removal of heavy metals from wastewater. Apple peels are a large-scale biowaste product of the food industry. Each year 17–21 million tonnes of apple waste are generated. Apple peels and pomace are high in lignin, polyphenols, hemicelluloses, cellulose and pectin. –OH, –NH2, –CO and –COO are very important functional groups for the adsorption of metals. Apple is known as Pakistan's ‘Sweet Gold’. Figure 1 shows that apple is composed of proteins, fats, dietary fibers, carbohydrates and water, among others. Pakistan is at number ten in the world for apple production. In 1999–2000, Pakistan produced approximately 600,000 metric tonnes of apples as a commercial fruit plant. After citrus and banana, it is the third most popular fruit, and it is accessible virtually all year (Rasheed et al. 2013). Chromium (VI) removal from wastewater is a major problem these days and for this purpose sorption is a much better technique. Biosorption by using apple peels is actually a low cost, effective and environmentally friendly alternative (Fenti et al. 2020). In the past biosorbents such acrylonitrile grafted banana peels (Sonune & Ghate 2004; Ali et al. 2016a), zirconium modified apple peels (Ali et al. 2016a), rice husk (Singh et al. 2021), orange, potato and banana peels (Nathan et al. 2021), rice bran (Singh et al. 2005), and egg shell (Park et al. 2007) were used to remove chromium ions from wastewater. Agricultural waste straw biochar modified by spinel bimetal was used to remove cadmium from wastewater (Bai et al. 2023), while peanut hull (Ali et al. 2016b), pomegranate peel (El-Ashtoukhy et al. 2008), and acylamino dihydroxamic acid chelating resin (PAPDA) (Duan et al. 2022) were used to remove copper ions from wastewater. In this study batch sorption tests were performed by varying the adsorbent dosage, pH, metal initial concentration, temperature and contact time to check the adsorption capacities of apple peels, chemically treated apple peels and apple peel charcoal for both chromium and copper removal. Isotherm and kinetic models were also applied to check their removal efficiencies.
Figure 1

Apple composition. Source: 123rf.com.

Figure 1

Apple composition. Source: 123rf.com.

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The materials used in these experiments were apple peels purchased from the local market in Bahawalpur District, Pakistan, zinc sulfate heptahydrate (ZnSO4.7H2O), copper sulfate pentahydrate (CuSO4.5H2O), potassium chromate, sulfuric acid, ammonia, and sodium hydroxide. All the solutions were prepared in distilled water.

Preparation of reagents

Stock solution of metals (mix metal stock solution)

Copper sulfate pentahydrate (CuSO4.5H2O) was used to make copper stock solution (1,000 ppm); 0.39 g of (CuSO4.5H2O) was added to a 100 ml measuring flask and diluted up to the mark with ‘double distilled water’. All the required solutions were prepared with analytical reagents and double distilled water. Potassium chromate (K2CrO4) stock solution was prepared by adding 0.373 g to a 100 ml measuring flask and diluting up to the mark with double distilled water to obtain 1,000 ppm (mg/L) of Cr (VI) stock solution. Synthetic samples of different concentrations of Cu and Cr (VI) were prepared from these stock solutions by appropriate dilutions.

Standard solution of Cu and Cr

Standard solutions (10–250 ppm) were prepared from stock solution by taking different volumes of 1,000 ppm solution and diluting up to 50 ml with distilled water to prepare 10–250 ppm (Cu, Cr) mix solution (50 ml), respectively.

Adsorbent preparation

Apple peels were collected from the local market and washed twice with distilled water to remove impurities. Washed apple peels were air dried, then these dried peels were ground into fine powder and passed through 40 mesh sieves and stored in plastic zipper bags. Apple peels were further used to prepare adsorbents for the removal of heavy metals (Cr, Cu) from aqueous solutions by following literature (El-Ashtoukhy et al. 2008; Yi et al. 2017).

Preparation of charcoal

To make apple peel charcoal (APC), dried apple peels (1 kg) were placed in a traditional mud vessel as shown in Figure 2. Two holes were drilled into its lid and a tube attached to a nitrogen cylinder was inserted into one of the holes and secured into place with clay. The lid was put on the vessel and sealed by clay to make the vessel air tight.
Figure 2

Charcoal formation.

Figure 2

Charcoal formation.

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The nitrogen flow was turned on and nitrogen was allowed to pass through the vessel for 3 minutes at 200 kPa. After shutting off the nitrogen flow, the second hole was also quickly sealed with mud to prevent any air from entering the vessel during the carbonization process. The charring time was 4 hours and the process was carried out over a low flame. The charcoal so obtained was finely ground in a pestle and mortar and passed through a sieve of mesh size 0.6 mm to obtain a uniform particle size.

Preparation of Zn modified apple peels

Apple peels (25 g) were added to a 500 ml conical flask and distilled water (250 ml) was added. Solution of zinc sulfate (0.25 M) was added in a dropping funnel. The assembly was set to add this zinc sulfate to the mixture of apple peels in the flask containing the separating funnel drop wise to mix. Stirring was done at 50 °C. After complete addition the pH of the solution was maintained to 10 by the drop wise addition of ammonium hydroxide (4 M), via the dropping funnel. Further stirring was done for 1 hour at 70 °C.

Characterization of adsorbents

Adsorbents are characterized by different instruments such as Fourier transform infrared spectroscopy (FTIR), scanning electron microscope (SEM) and energy dispersive X-ray (EDX). FTIR was used for the identification of functional groups in apple peels. It also provides quantitative information. SEM is used to study the surface of solid objects. It was used to obtain information about the composition and surface topography of apple samples. An energy dispersive X-ray analyzer (EDX or EDA) was used to check the elemental composition of all adsorbents and to provide quantitative information. An atomic absorption spectrophotometer measures metals concentrations from different solutions and was used to check the Cu/Cr concentrations of metal solutions by using apple peels, apple peel charcoal and treated apple peels as adsorbents.

Batch sorption studies

Batch sorption studies are well-established experiments used to determine adsorption equilibrium as well as kinetics from solution. To study the effects of different parameters on prepared adsorbents including pH, absorbent dose, reaction time, metal initial concentration, and temperature, batch experiments were conducted (El-Ashtoukhy et al. 2008). All batch sorption experiments were conducted in 250 mL conical flasks containing 50 mL prepared (Cu, Cr) solution. All the experiments except contact time tests were carried out at constant duration of 30 minutes. Reactions were carried out on a magnetic stirrer at 150 rpm. Adsorption of both copper and chromium on apple peels, apple peel biochar and treated apple peels were studied by using parameters such as temperature (40–90)°C, pH (2–12), contact duration (15–90) minutes, metal concentration (10–250) ppm and adsorbent dose (0.1–0.6) g. The removal percentage and amount of Cu/Cr adsorption Qe were analyzed by using the following equations (averaged of duplicate):
(1)
(2)
where Co is the initial chromium and copper concentration in (mg/L), Ce is the equilibrium concentration at time t (mg/L), m is the mass of the adsorbent in (g), and V is the volume of Cu/Cr in L.

Kinetic and isotherm studies

Kinetic studies of each adsorbent were carried out by varying the contact time (15–90) minutes. Mix solutions of 50 ml (Cr, Cu) were prepared by keeping the constant initial concentration of 10 ppm. Each reaction was carried out at 150 rpm at constant temperature 35 °C. Pseudo-first-order, pseudo-second-order, and intraparticle diffusion kinetic models were applied.

Adsorption isotherms were studied by varying the initial Cu/Cr concentration (10–250) ppm. Cu/Cr mix solutions of 50 mL were prepared by adding constant adsorbent dose 0.3 g; reactions were carried out at 150 rpm at constant temperature of 35 °C. Freundlich and Langmuir isotherm models were applied to check their adsorption capacities.

Characterization of adsorbent

Adsorbents were characterized by comparing the FTIR spectra of apple peels (AP), zinc treated apple peels (TAP), zinc modified apple peels after adsorption (ADM) and apple peels charcoal (APC). Apples contain flavonoids of catechin, chlorogenic acid, procyanidins, epicatechin, quercetin and phloridzin conjugates. FTIR spectra of prepared adsorbents was recorded in the range of 4,000–400 cm−1. As shown in Figure 3, apple peels have a broad absorbance peak in the range of 3,760–3,204 cm−1 representing both O-H bond stretch of alcohols and O-H bond vibrations of carboxylic acid. A sharp peak was observed at 2,921 cm−1 and 1,732 cm−1 which represent C-H and C = O stretch, respectively. The stretching of the C = C bond in aromatic rings is the cause of the absorptions in the ranges of 1,600–1,585 cm−1 and 1,500–1,400 cm−1. The spectrum showed peaks for the axial bending of the C-O bond in phenols (1,260–1,000 cm−1), angular deformation in the plane of the C-H bonds of the aromatic rings (1,300–1,000 cm−1), and axial deformation of the C-O bond in COOH (1,320–1,210 cm−1). APC showed less absorbance because of burning of apple peels at high temperature; no broad peak was observed due to the breakage of bonds. APC showed sharp peaks at 2,921 cm−1 and 1,732 cm−1 which represent C-H and C = O stretch, respectively. The TAP spectrum showed peaks for the axial bending of the C-O bond in phenols (1,260–1,000 cm−1) and no further peaks were observed because of calcinations at high temperature, and in ADM a moisture peak was observed at 3,200 cm−1 while at 1,320–1,000 cm−1 sharp C-O stretching peaks were observed which were due to the presence of alcohols, carboxylic acid, ethers, and esters.
Figure 3

FTIR spectra of prepared adsorbents.

Figure 3

FTIR spectra of prepared adsorbents.

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SEM images of apple peels before and after chemical treatment are shown in Figure 4. The morphology of three adsorbents prepared from apple peels (AP, TAP, ADM) was studied through SEM at 12.5 kV accelerated voltage. SEM analysis for AP, TAP, and ADM shows porous structures. The micrographs show that the external surface of apple peels is quite irregular but the surface of TAP shows a well-patterned external surface. The morphology of TAP and ADM displayed different outer surfaces due to the presence of zinc sulfate. The micrograph of AP after chromium (VI) and copper adsorption (ADM) shows a reduction in number of pores, pore space and surface area available which shows the confirmation of metal adsorption on adsorbent surface. EDX is used to determine the elemental composition of AP, TAP, and ADM, as shown in Figure 5. The results show higher peaks of AP for carbon and oxygen which confirms higher composition of organic matter in apple peels. The composition of apple peels before and after their treatment with zinc salt is also compared using SEM-EDX results. The EDX analysis of apple peels after treatment with zinc salt, shown in Figure 5(b), indicates higher percentage of Zn which confirms the coating of zinc sulfate on apple peels. Figure 5(c) shows the EDX spectra of apple peels after treatment as well as after adsorption of Cu and Cr (ADM). The presence of Cu and Cr ions in the spectra confirms the successful adsorption of metals on the adsorbent surface.
Figure 4

SEM images of (a) AP, (b) TAP, (c) ADM.

Figure 4

SEM images of (a) AP, (b) TAP, (c) ADM.

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Figure 5

EDX spectra of (a) AP, (b) TAP, (c) 1, 2 ADM.

Figure 5

EDX spectra of (a) AP, (b) TAP, (c) 1, 2 ADM.

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Effect of adsorbent dose on heavy metal adsorption

Effect of adsorbent dose on Cu and Cr adsorption for AP, APC and TAP were studied by varying the adsorbent dose from 0.1 g to 0.6 g. The results are depicted in Figure 6. It was observed that removal efficiency of Cu and Cr was increased when adsorbent dose was increased. The highest adsorption value for simple apple peels was 92.96% at adsorbent dose of 0.3 g for Cr. For Cu the maximum adsorption value was 89.46% at 0.2 g. For apple charcoal maximum adsorption value was 86.1% at adsorbent dose of 0.6 g for Cr, and for Cu at 0.3 g a maximum adsorption value of 75.6% was observed. Maximum adsorption value for zinc modified apple peels was 93.79% at adsorbent dose of 0.4 g for Cr, and for Cu maximum adsorption value was 95.12% at 0.4 g.
Figure 6

Effect of adsorbent dose on AP, APC, and TAP on removal of Cr and Cu at pH 2 and initial metal concentration of 10 ppm.

Figure 6

Effect of adsorbent dose on AP, APC, and TAP on removal of Cr and Cu at pH 2 and initial metal concentration of 10 ppm.

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Effect of temperature on adsorption of heavy metals

The effect of various temperatures (40–90 °C) on adsorption was studied. The results are depicted in Figure 7 which shows the adsorption plots for all three adsorbents. It was concluded that for apple peels the maximum adsorption value was 78.87% for Cu adsorption and for Cr maximum adsorption value was 79.89%, both at 50 °C. Maximum adsorption for apple charcoal was observed at 40 °C: 79.39% for Cr and 67.51% for Cu. For zinc modified apple peels maximum adsorption was observed at 60 °C and its value was 99.1% for Cr and 98.7% for Cu. The maximum adsorption of Cr is reported at 50 °C at numerous initial concentrations for custard apple peels in literature. It has been confirmed that chromium (VI) adsorption rises with increasing temperature values for all concentrations, indicating that the adsorption is endothermic (Krishna & Sree 2013).
Figure 7

Effect of temperature of AP, APC and TAP on removal of Cr/Cu.

Figure 7

Effect of temperature of AP, APC and TAP on removal of Cr/Cu.

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Effect of pH on adsorption of heavy metals

It was observed that for all three adsorbents maximum adsorption was observed at pH 2 as shown in Figure 8. It was observed that at acidic pH adsorption was maximum and with the change in pH towards basic adsorption capacity of adsorbents decreased. At pH 2 maximum adsorption values for apple peels was 92.96% and 81.4%, for Cr and Cu respectively. For apple charcoal the maximum adsorption value was observed as 84.74% for Cr at pH 2, and for Cu the maximum adsorption was 88.54% at pH 8. Zinc modified apple peels show maximum adsorption value of 98.32% for Cr and 95.88% for Cu both at pH 2. Under acidic conditions, the apple peel's charcoal surface is protonated by H+ ions, which supports the electrostatic attraction between Cr(VI) (in the form of HCrO4-) and the charged surface. This interpretation describes the high Cr (VI) adsorption capacity at acidic pH (Enniya et al. 2018).
Figure 8

Effect of pH of AP, APC and TAP on removal of Cr/Cu.

Figure 8

Effect of pH of AP, APC and TAP on removal of Cr/Cu.

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Effect of contact time on metal adsorption

Adsorption capacity of each adsorbent was studied in this parameter by varying the contact time (15–90 minutes). Reactions were carried out at constant adsorbent dose and metal initial concentration of 0.3 g and 10 ppm, respectively. With the increase in contact duration the adsorption capacity of adsorbents increases up to 60 minutes. The greater the contact time, the higher the number of chances that the adsorbent surface must absorb the adsorbate molecules. After 60 minutes adsorption capacity of adsorbents decreases.

Kinetic experiments were used to study the adsorption of Cu/Cr on the prepared adsorbents. The data was processed using pseudo-first-order and pseudo-second-order kinetic models to examine the adsorption kinetics of the metals onto the peels. Pseudo-first and pseudo-second-order and intraparticle diffusion models were used to test the rate of reaction's dependency on the concentration of reactants involved (Mallampati et al. 2015). The pseudo first order of the kinetic model's linear equation is,
(3)
where qt denotes the adsorption capacity at time t, and qe denotes the adsorption capacity at equilibrium and k1 represents the pseudo first order rate constant. A graph of log (qeqt) against time (t) can be used to determine the value of k1.
The pseudo-second-order kinetic model is based on the premise that chemical sorption or chemisorption is the rate-limiting phase, and it predicts behavior across the whole adsorption range. In this case, the adsorption rate is determined by the adsorption capacity rather than the adsorbate concentration. The pseudo-second-order reaction's linearized expression is,
(4)
where k2 is the pseudo-second-order rate constant, which may be found by graphing log t/qe against time (t) (Gill et al. 2013).
Taking log (qeqt) along the ordinate and time ‘t’ along the abscissa, pseudo-first-order kinetics was performed. Figures 9 and 10 show pseudo-first-order kinetic plots for AP, TAP and APC. t/qe was plotted along the y-axis and t along the x-axis to study pseudo-second-order kinetics. Figures 11 and 12 show pseudo-second-order kinetics of both Cu and Cr for all three adsorbents. Plotting time t on the x-axis and qt on the y-axis shows intraparticle diffusion kinetics. Figures 13 and 14 show the kinetic plots for intraparticle diffusion. The results depicted in Table 1 show that the calculated adsorption capacities (qecal) were found to be close to the experimental values (qeexp) by following pseudo-second-order kinetics. Kinetic studies were also carried out in literature by following these three models. The experimental qe values matched to a great extent with the calculated qe values. The R2 values obtained for pseudo-second-order kinetic model (Table 1) were significant compared to the R2 values for different kinetic models studied (Ajmani et al. 2019).
Table 1

Kinetic parameters for Cu/Cr adsorption on different adsorbents

Pseudo-first-order kineticsPseudo-second-order kineticsIntraparticle diffusion
Adsorbentqe (exp)k1 (min−1)qe (cal)R2k2 (g mg−1 min−1)qe (cal)R2k3R2
Adsorption of chromium 
AP 0.895 0.0135 0.024 0.977 0.128 0.623 0.987 0.0028 0.8204 
APC 0.88 0.0343 0.275 0.983 0.053 0.861 0.99 0.0017 0.927 
TAP 1.583 0.0092 0.1143 0.984 0.473 1.438 0.994 0.0012 0.865 
Adsorption of copper 
AP 0.803 0.0124 0.110 0.969 0.360 0.629 0.990 0.0028 0.913 
APC 0.803 0.0803 0.638 0.980 0.066 0.909 0.990 0.0063 0.9012 
TAP 1.631 0.0278 0.0949 0.989 1.405 1.548 0.996 0.0013 0.8158 
Pseudo-first-order kineticsPseudo-second-order kineticsIntraparticle diffusion
Adsorbentqe (exp)k1 (min−1)qe (cal)R2k2 (g mg−1 min−1)qe (cal)R2k3R2
Adsorption of chromium 
AP 0.895 0.0135 0.024 0.977 0.128 0.623 0.987 0.0028 0.8204 
APC 0.88 0.0343 0.275 0.983 0.053 0.861 0.99 0.0017 0.927 
TAP 1.583 0.0092 0.1143 0.984 0.473 1.438 0.994 0.0012 0.865 
Adsorption of copper 
AP 0.803 0.0124 0.110 0.969 0.360 0.629 0.990 0.0028 0.913 
APC 0.803 0.0803 0.638 0.980 0.066 0.909 0.990 0.0063 0.9012 
TAP 1.631 0.0278 0.0949 0.989 1.405 1.548 0.996 0.0013 0.8158 
Figure 9

Pseudo-first-order kinetics for adsorption of Cr on AP, APC, TAP.

Figure 9

Pseudo-first-order kinetics for adsorption of Cr on AP, APC, TAP.

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Figure 10

Pseudo-first-order kinetics for adsorption of Cu on AP, APC, TAP.

Figure 10

Pseudo-first-order kinetics for adsorption of Cu on AP, APC, TAP.

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Figure 11

Pseudo-second-order kinetics for adsorption of Cr on AP, APC, TAP.

Figure 11

Pseudo-second-order kinetics for adsorption of Cr on AP, APC, TAP.

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Figure 12

Pseudo-second-order kinetics for adsorption of Cu on AP, APC, TAP.

Figure 12

Pseudo-second-order kinetics for adsorption of Cu on AP, APC, TAP.

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Figure 13

Intraparticle diffusion for adsorption of Cr on AP, APC, TAP.

Figure 13

Intraparticle diffusion for adsorption of Cr on AP, APC, TAP.

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Figure 14

Intraparticle diffusion for adsorption of Cu on AP, APC, TAP.

Figure 14

Intraparticle diffusion for adsorption of Cu on AP, APC, TAP.

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Effect of Cu/Cr concentration

Cu and Cr concentration can affect the removal efficiency of adsorbents. The concentration was varied between 10 and 250 ppm. The results show that as the concentration of metals increased, adsorption percentage also increased up to 70 ppm. It was concluded that maximum adsorption for prepared adsorbents was observed at 20 ppm for copper and chromium. After the maximum uptake there are no further active sites available for the absorbate molecules to be adsorbed on the adsorbent surface. So after maximum uptake no further increase in percentage adsorption occurs. By applying the Langmuir model the Qmax values for adsorption of Cr were 25, 33, 50 mg/g for AP, APC and TAP, respectively. For Cu adsorption Qmax values were 22, 47, 52 mg/g for AP, APC, and TAP respectively. The adsorption capacities of adsorbents were analyzed by applying Langmuir and Freundlich isotherm models for each adsorbent. The Langmuir isotherm was first developed in research on gas adsorption on activated carbon. The Langmuir isotherm model is used to determine the adsorption of the adsorbent used, and it proposes that monolayer sorption happens on a homogeneous surface with no interaction between adsorbed molecules (Achak et al. 2009). The equation for Langmuir adsorption isotherm is:
(5)
Here qe is the adsorbed metal concentration in solid (biomass), Ce is the residual metal concentration in the solution. The qmax is the maximum specific uptake relating to sites saturation, and b is ratio of the adsorption/desorption rates. The Langmuir isotherm can be written as,
(6)
The Freundlich isotherm is based on multilayer adsorption with adsorbed molecule interaction. The concept is applicable to reversible adsorption onto heterogeneous surfaces with a homogeneous energy distribution. This relationship can be applied to low and moderate concentration ranges with reasonable accuracy. The Freundlich isotherm is represented by the following equation:
(7)
The Freundlich constant, also known as Freundlich capacity, is Kf, and the adsorption intensity is n. The quantity of chromium (VI) adsorbed at equilibrium is qe, while the residual Cr (VI) concentration in solution is Ce. The Freundlich equation is written as follows,
(8)

The intercept and slope of a plot of log qe vs. log Ce can be used to calculate Kf and n.

The adsorption capacities of the prepared adsorbents for the removal of copper and chromium were analyzed by applying Langmuir and Freundlich isotherm models for each adsorbent. Langmuir isotherms for the prepared adsorbents were studied by taking Ce/qe along the ordinate and Ce along the abscissa. Freundlich isotherms were applied by taking log Qe along the x-axis and log Ce along the y-axis. The Langmuir isotherms for the adsorption of chromium on AP, TAP and APC are shown in Figure 15 and for copper adsorption in Figure 16. Freundlich isotherms for adsorption of chromium on AP, TAP and APC are shown in Figure 17 and for Cu in Figure 18. The Langmuir model is best fitted on adsorption data because regression factor R2 values are satisfactory for the Langmuir model. The parameters for both models are shown in Table 2.
Table 2

Adsorption isotherm parameters for Langmuir and Freundlich models

Langmuir isotherm parameters
Freundlich isotherm parameters
Adsorbentsqmax (mg/g)b (L/mg)R2kLNR2
Adsorption of chromium 
AP 25 0.178 0.987 0.2700 1.968 0.968 
APC 33 0.100 0.993 0.2914 1.615 0.982 
TAP 50 0.046 0.996 0.931 0.639 0.980 
Adsorption of copper 
AP 22 0.229 0.991 0.3147 1.519 0.9811 
APC 47 0.042 0.990 0.2267 1.828 0.9885 
TAP 52 0.052 0.991 0.1002 1.1626 0.9773 
Langmuir isotherm parameters
Freundlich isotherm parameters
Adsorbentsqmax (mg/g)b (L/mg)R2kLNR2
Adsorption of chromium 
AP 25 0.178 0.987 0.2700 1.968 0.968 
APC 33 0.100 0.993 0.2914 1.615 0.982 
TAP 50 0.046 0.996 0.931 0.639 0.980 
Adsorption of copper 
AP 22 0.229 0.991 0.3147 1.519 0.9811 
APC 47 0.042 0.990 0.2267 1.828 0.9885 
TAP 52 0.052 0.991 0.1002 1.1626 0.9773 
Figure 15

Langmuir isotherms for adsorption of Cr on AP, APC, TAP.

Figure 15

Langmuir isotherms for adsorption of Cr on AP, APC, TAP.

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Figure 16

Langmuir isotherms for adsorption of Cu on AP, APC, TAP.

Figure 16

Langmuir isotherms for adsorption of Cu on AP, APC, TAP.

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Figure 17

Freundlich isotherms for adsorption of Cr on AP, APC, TAP.

Figure 17

Freundlich isotherms for adsorption of Cr on AP, APC, TAP.

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Figure 18

Freundlich isotherms for adsorption of Cu on AP, APC, TAP.

Figure 18

Freundlich isotherms for adsorption of Cu on AP, APC, TAP.

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Table 3 shows the adsorption capacities of different adsorbents that were investigated in literature. For example, corn stalks-derived ACs had maximum adsorption efficiency Qmax of almost 89.5 mg/g for Cr (Zhao et al. 2020), while hazelnut shell activated carbon had Qmax 58.27 mg/g for Cu (Samet & Valiyaveettil 2018). As studied in literature, removal efficiencies of different adsorbents increased by chemical modification or by preparing activated charcoals rather than using simple agricultural wastes (Yi et al. 2017).

Table 3

Adsorption capacity comparison of AP, TAP and APC for Cr and Cu with other adsorbents

AdsorbentsQmax (mg/g) (Cr)Qmax (mg/g) (Cu)References
Apple peels derived ACs 36.01 – Enniya et al. (2018)  
Longan seed activated carbon 35.02 – Yang et al. (2015)  
Corn stalks-derived ACs 89.5 – Zhao et al. (2020)  
Wood apple shell ACs 26.68 – Doke & Khan (2017)  
Modified litchi peel 9.55 – Yi et al. (2017)  
Peanut hull – 14.13 Ali et al. (2016b)  
Pomegranate peel – 1.3185 El-Ashtoukhy et al. (2008)  
Hazelnut shell activated carbon – 58.27 Samet & Valiyaveettil (2018)  
AP 25 22 This study 
APC 33 47 This study 
TAP 50 52 This study 
AdsorbentsQmax (mg/g) (Cr)Qmax (mg/g) (Cu)References
Apple peels derived ACs 36.01 – Enniya et al. (2018)  
Longan seed activated carbon 35.02 – Yang et al. (2015)  
Corn stalks-derived ACs 89.5 – Zhao et al. (2020)  
Wood apple shell ACs 26.68 – Doke & Khan (2017)  
Modified litchi peel 9.55 – Yi et al. (2017)  
Peanut hull – 14.13 Ali et al. (2016b)  
Pomegranate peel – 1.3185 El-Ashtoukhy et al. (2008)  
Hazelnut shell activated carbon – 58.27 Samet & Valiyaveettil (2018)  
AP 25 22 This study 
APC 33 47 This study 
TAP 50 52 This study 

This study focuses on the removal of toxic metals from wastewater by using agricultural waste. In this study apple peels are used as adsorbents to remove heavy metals Cu/Cr from wastewater. Apple peels were used in three different ways as unmodified AP, APC and TAP. The coating of zinc sulfate on the surface of apple peels after chemical treatment causes the increase in the removal capacity of Cu and Cr. Adsorbents were characterized with FTIR, scanning electron microscope, and energy dispersive X-ray analysis. The effect of time, metal initial concentration, temperature, adsorbent dosage and pH were studied by batch sorption studies. Experimental data shows increase in uptake of metals with increase in concentration of metals. Solutions kinetic studies were carried out by taking into consideration pseudo-first-order, pseudo-second-order and intraparticle diffusion. Both Freundlich and Langmuir isotherms were applied. This study showed better adsorption capacities for chemically modified adsorbents. It is concluded that unmodified apple peels, modified apple peels and apple charcoal are effective low-cost adsorbents for removal of Cu and Cr from water.

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

The authors declare there is no conflict.

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