The aim of this study was to valorize agricultural waste in the form of red pumpkin skin to prepare activated carbon chemically activated by ZnCl2, used as a biosorbent for the removal of two types of dyes, namely methylene blue (MB) and Congo red (CR), present in industrial effluents. Physico-chemical tests were used to characterize the new biosorbent such as Fourier transform infrared spectrophotometry, scanning electron microscopy, pH at zero charge potential, X-ray diffraction and Brunauer Emmett Teller. The results obtained showed that the biosorbent owns an amorphous structure and a specific surface area of 36.51 m2/g. The adsorption of CR and MB onto the prepared activated carbon was performed in batch mode. The effect of several parameters such as contact time, initial concentration, dose of activated carbon, pH and temperature on dye removal was investigated. The adsorption of MB and CR on activated carbon is described by the Langmuir model and is governed by a pseudo-second-order kinetics model with a correlation coefficient of 0.999 for both dyes.

  • Low-cost sorbents such as agricultural waste.

  • Biosorbent owns an amorphous structure and a specific surface area of 36.51 m2/g.

  • Activated carbon chemically activated by ZnCl2 prepaed from red pumpkin skin prepare showed high efficiency for the removal of methylene blue and Congo red.

Graphical Abstract

Graphical Abstract
Graphical Abstract

The environment is the basis of human survival and the guarantee of sustainable human development. Environmental protection has unquestionably become a development strategy for all countries in the world. All countries must fulfill their environmental management obligations to plan for economic development, social progress and environmental protection (Jianping et al. 2013).

Many reports from different sources (public. private. regional or global) illustrate the continuing deterioration of environmental conditions. At the beginning of the 21st century, environmental changes are particularly dangerous and there are irreversible risks in many aspects: technological developments since the industrial revolution, which allowed man to exert a great influence on natural resources and ecosystems, increasing human population, which has led to a significant increase in human population density in many parts of the world, and the increase in resource and energy consumption since the industrial revolution which have accompanied economic growth and rising living standards in some parts of the world (Stephens et al. 2020).

A significant increase in the proportion of the world's population requires an increase in food production and energy consumption, including an increase in human activities, which will have a negative impact on ecosystems (Wright et al. 2011; Manisalidis et al. 2020).

Water pollution is a global challenge that has increased in both developed and developing countries, undermining economic growth as well as the physical and environmental health of billions of people, which requires continuous monitoring and assessment. It can be severely degraded as a result of contamination by pollutants, leading to a series of health and ecological effects. Many human activities, such as industrial processes, result in water pollution that can create toxic effluents. Oil spills, accumulation of plastics and bioaccumulation of persistent organic chemicals are major causes of severe environmental degradation (Ruthiraan et al. 2017).

Dyes are a type of organic pollutants widely used by textile industries, which generate considerable amounts of colored, toxic and even carcinogenic waste products, posing a serious threat to aquatic organisms. The main reason is the non-biodegradable nature of most dyes and resistance to aerobic digestion (Cuong Nguyen et al. 2021).

The modern world needs the textile industry to be used in daily life as clothes and carpets and in architecture as an immunization against weather phenomena. Currently, textile and dyeing factories in many developing countries have not fully treated their wastewater; they contain insoluble dyes that have serious toxic effects on human health and the environment. Therefore, textile industries are considered to be the largest sources of water pollution (Ozdemir et al. 2013; Masood et al. 2014).

Wastewater treatment has always been a major concern in developed countries. Several efficient and economical methods have been used for dye treatment such as hybrid, biological and physico-chemical treatments (Han et al. 2015). Adsorption is considered as an inexpensive and highly effective technique among the above methods to remove organic pollutants from wastewater and produce high-quality treated effluent. This method is widely employed using different adsorbents such as activated carbon obtained from several plant materials rich in carbon such as wood, olive kernels, peanuts, etc (Kouadio et al. 2019).

Activated carbon adsorption has gained importance as an alternative tertiary wastewater treatment and purification process. When the quality of the effluent after secondary treatment is not at the required level, tertiary treatment will be necessary. Tertiary treatments are advanced treatments. They are considered for discoloration because primary and secondary treatments are not particularly effective in this area. Secondary treatments can remove approximately 50% of the dye.

Adsorption techniques are simple, minimize the use of chemicals and the production of biological sludge, and are easy to operate (Collivignarelli et al. 2019; Gurav et al. 2021).

The objective of the present study is to produce activated carbon from red pumpkin skin agricultural waste by chemical activation using zinc chloride for the removal of two types of dyes.

To achieve this goal, pyrolysis of red pumpkin skin, followed by chemical activation, was used to obtain an eco-friendly activated carbon as a biosorbent for methylene blue and Congo red removal.

In chemical activation, red pumpkin skin is impregnated with an activating reagent such as zinc choloride (ZnCl2) and the impregnated material is heated in an inert atmosphere, this method is more advantageous due to its higher yield, simplicity, the lower temperature and the shorter time necessary to activate the material and the good development of the porous structure.

Physicochemical methods were used to characterize the new biosorbent such as Fourier transform infrared spectroscopy (FTIR), Scanning electron microscopy (SEM), X-ray diffraction (XRD) and Brunauer-Emmett-Teller (BET). The efficiency of activated carbon to remove dyes was studied as a function of contact time, initial dye concentration, biosorbent dose, pH effect and temperature. In addition, Langmuir and Freundlich isotherms as well as pseudo-first-order and pseudo-second-order adsorption kinetics were investigated in this study.

Materials

Congo red (CR) was purchased from Biochem: Chemopharma (France). Methylene blue (MB), hydrochloric acid (HCl), sodium hydroxide (NaOH) and potassium nitrate (KNO3) were purchased from Sigma Aldrich (Germany) and the ZnCl2 was supplied by Honeywell laboratory – Riedel de Haen.

Preparation of the activated carbon

The red pumpkin skin was collected from kitchen waste. This was washed several times with tap water and then with distilled water. The sample was dried in an oven for 24 hours at a temperature of 105 °C. After drying, the material underwent grinding and then sieving to obtain regular sizes with dimensions less than 0.5 mm (Khelifi et al. 2016). For chemical activation of the activated carbon, 20 g of dried red pumpkin skin powder was well mixed with 100 mL of ZnCl2 solution of concentration 0.4 g/L at impregnation rate of 2. The mixture was placed in an oven at 30 °C for 24 hours and then at 110 ° C until obtaining a dry mixture. The product obtained was stored in a desiccator before pyrolysis (Ahmed & Dhedan 2012).

Pyrolysis

The pyrolysis is used to describe the production of activated carbon precursor. By definition pyrolysis is a process of chemical decomposition of organic materials at high temperatures in the absence of oxygen. Because no oxygen is present, combustion does not occur. Chemical treatment and pyrolysis have an important role in the development of the porosity and texture of an adsorbent. The adsorption power is improved due to the increase in the dimension of the pores on the surface and in depth. ZnCl2 applied to skin of the red pumpkin gives for example a plastic paste. This mass is then heated in the absence of oxygen (pyrolysis) at temperatures between 400 and 500 °C. This agent can develop the micropores and mesopores by enlarging the pore size. Finally, the product must be washed to remove the activating agent, which can often be reused or recycled, although it may partially volatilize during the activation process (Li et al. 2018; Lee et al. 2019), The pyrolysis is the second step of the activated carbon manufacturing process. The dry sample obtained after impregnation was placed in a muffle oven at 400 °C with a heating rate of 2.66 °C/min for two hours. At the end, the obtained activated carbon was cooled and washed thoroughly with distilled water to neutral pH and dried at 105 °C in an oven (Mamane et al. 2016).

Yield of activated carbon

The yield represents the weight of the activated carbon in the final state after impregnation. Carbonization, purification and drying divided over the initial amount of crude biomass (Kılıç et al. 2012). The yield is calculated by the following Equation (1):
formula
(1)
where Wi (g) is the weight of the initial sample, Wac (g) is the weight of the activated carbon after purification and drying.

The moisture content

To find out the wet basis moisture, oven drying method was used (Ahmed & Dhedan 2012). 0.5 g of activated carbon was placed into weighed ceramic crucible dried in an oven at 110 °C. The drying sample was constantly reweighed until a constant weight was obtained. The crucible and its contents were recovered and cooled to room temperature. The weight difference was recorded and the wet basis moisture content was calculated according to Equation (2).
formula
(2)
where Wm3 (g) is the weight of crucible containing the sample before drying, Wm2 (g) is the weight of crucible containing dried sample, and Wm1 (g) is the weight of original sample used.

Ash content

The ash wet basis content was determined according to standard methods. For this purpose, 0.5 g of activated carbon was dried in an oven at 80 °C for 24 hours in a preweighed ceramic crucible. The sample was then heated in a muffle furnace at 650 °C for 3 hours. The crucible was reweighed when it reaches room temperature (Ahmed & Dhedan 2012). The ash content was calculated according to Equation (3):
formula
(3)
where Ws3 (g) is the weight of crucible with the ashes, Ws2 (g) is the weight of the empty crucible and Ws1 (g) is the weight of the sample used.

Determination of the density and porosity indexes

An amount (W0) of activated carbon was weighed and placed into a graduated cylinder. The occupied volume (before and after settlement) was noted (Labied et al. 2019). These measurements allow to calculate the apparent density (Equation (4)). the bulk density (Equation (5)) and the porosity index (Equation (6)).
formula
(4)
formula
(5)
formula
(6)
where W0 (g) is the initial mass of AC; V1 (mL) is the aerated volume occupied by the AC; W2 (mL) is the packed volume occupied by the AC; ρap and ρpa (g/cm3) are the apparent and the bulk densities.

Isoelectric pH (pH (pzc))

The isoelectric pH or zero charge point of activated carbon is the pH of an aqueous solution at which the activated carbon has zero charge potential on its surface. To do this, in 250 mL beakers, 0.1 g of activated carbon was placed in 20 mL of KNO3 solution (0.1 N), left in contact for 24 hours at a stirring speed of 250 rpm and at ambient temperature. The initial pH was adjusted from 2 to 12 by adding HCl and NaOH (0.1 M). The pHf was measured after 24 hours. The intersection with the abscissa axis of the graph of ΔpH as a function of pHi gives the pHpzc (Torres-Pérez et al. 2015; Ntakirutimana et al. 2019).

FTIR

This technique is used to determine the functional groups on the surface of activated carbon For this. a small amount of the prepared material was taken and then analyzed in the 4,000–400 cm−1 range. The analysis was carried out by Bruker spectroscopy.

XRD

The crystalline or amorphous state of the prepared adsorbent was identified by XRD using Bruker D8 Advance ECO A25 X-ray diffractometer. A simple quick scan will show that if there are characteristic peaks, the state is crystalline; if not, it is amorphous.

SEM

Several image acquisitions were performed using an FEI Quanta 250 Environmental Scanning Electron Microscope in the ‘morphological contrast’ mode of the two samples to highlight their geometric topography on many surfaces at different magnifications from 400X to 24000X. By low pressure mode 60 Pa with electronic element beam from 10 to 15 kV and WD working distance of 10.6A 10.8 mm.

BET surface area analysis

The BET surface was obtained according to the BET equation to the adsorption of N2 at 77 K using the ASAP 2010 surface analyzer (accelerated surface porosimetry analyzers). The sample is exposed to a stream of nitrogen (N2). at various pressures. This gas is adsorbed on the surface and in the pores of the particles and therefore the pressure of the gas decreases. From this pressure variation, the adsorbed volumes are determined at each pressure used, then the gas adsorption-desorption isotherms are plotted. The software coupled to the ASAP2010 analyzer provides access to the specific surface area by a calculation based on the theory of Brunauer, Emmett and Teller, known as the BET method.

Preparation of dye solutions

Stock solutions of cationic and anionic adsorbent (MB and CR) were prepared at a dilution of 1,000 mg per litre of distilled water. These dyes are very soluble in water. The characteristics of these adsorbates are presented in Table 1.

Table 1

Physico-chemical characteristics of MB and CR

DyeMBCR
Chemical structure   
Formula C16H18CIN3C32H22N6Na2O6S2 
Molar mass (g/mol319.852 696.670 
The maximum wave length λmax (nm662 500 
Type Cationic Anionic 
Symbol MB CR 
Color Dark blue pH ≥ 5.2 red 
Odour Scentless Scentless 
DyeMBCR
Chemical structure   
Formula C16H18CIN3C32H22N6Na2O6S2 
Molar mass (g/mol319.852 696.670 
The maximum wave length λmax (nm662 500 
Type Cationic Anionic 
Symbol MB CR 
Color Dark blue pH ≥ 5.2 red 
Odour Scentless Scentless 

Adsorption experiments

The adsorption of MB and CR onto activated carbon was performed in batch mode. The various experimental parameters such as contact time (10–300 min), initial dye concentration (10–100 mg/L), adsorbent dose (0.001–0.5 g) and pH (2–12) influencing the removal process of dyes were considered. The pH of the dye solution was adjusted by adding HCl (0.1 M) or NaOH (0.1 M). For this, a volume of 20 mL of adsorbate solution of known concentration and pH was introduced into a 50 mL beaker. Then the adsorbent was added with a well-studied amount, the experiments were carried out at room temperature (18–20 °C). After equilibrium, the solution was filtered through filter paper. The filtrate was analyzed by UV-Vis spectrophotometer (Cintra 303). The amount adsorbed at equilibrium qe (mg/g) as well as the dye removal rate yield were calculated according to Equations (7):
formula
(7)
where C0 and Ce (mg/L) are the initial and the equilibrium dye concentrations, V (L) is the volume of the pollutant and m (g) is the weight of the activated carbon.

Yield of activated carbon

Different impregnation rates of ZnCl2 to red pumpkin skin were studied to calculate the activated carbon yield. From Table 2, it can be concluded that the activated carbon yield was strongly affected by the chemical impregnation ratio. The yield of the activated carbons was proportionally enhanced by increasing the impregnation ratio of activation agent. It varied largely from 30 to 70.79%. It was concluded that a larger activation ratio and specific surface area resulted in a greater yield. The impregnation ratio corresponding to the maximum yield was 2. The carbonization of red pumplin skin without ZnCl2 impregnation resulted in relatively low yield of 30% because a large amount of carbons were removed as CO, CO2, CH4 and tar coupling with O and H atoms. On the contrary, carbonization with ZnCl2 impregnation rate resulted in higher yield at 70.79% since ZnCl2 selectively separated H and O from red pumpkin skin as H2O and H2 rather than hydrocarbons, CO or CO2 (Karimnezhad et al. 2014). At high impregnation ratio greater than 2, the yield was affected by the chemical reactions between raw materials; therefore the carbon burn-off was increased and the yield was decreased. Similar result has been reported by Wang et al. 2009; Yorgun et al. 2009.

Table 2

Physico-chemical properties of the activated carbon obtained

Activated CarbonPhysical-chemical properties
Yield (%) 70.79 
Moisture content (%) 7.6 
Ash content (%) 29.46 
Apparent density (g/cm30.4189 
Bulk density (g/cm30.638 
Porosity index (%) 34.34 
Activated CarbonPhysical-chemical properties
Yield (%) 70.79 
Moisture content (%) 7.6 
Ash content (%) 29.46 
Apparent density (g/cm30.4189 
Bulk density (g/cm30.638 
Porosity index (%) 34.34 

The moisture content

The ability of porous materials to absorb moisture is 25–30%. These have no effect on the performance of the adsorbents in wastewater treatment but rather affect the weight of activated carbon required to perform the adsorption experiment. Samples must be dried after the purification process and stored in sealed and leak-proof containers in a dry place (Yakout et al. 2015). From these results. the moisture content of the biosorbent was found to be 7.6%. This proves that the results obtained comply with the moisture content conditions and the studies carried out by (Olowoyo & Orere 2012; Ekpete et al. 2017).

Ash content

The ash content in carbon represents the percentage of dry residue after combustion. In other words in the deep carbonization heat treatment process, all VOCs were removed only inorganic material remained. It should be noted that the activated carbon has the lowest ash content at 29.46 (%). This value is lower than those found in some types of activated carbon (Cruz et al. 2012; Veena Devi et al. 2012).

Bulk density and Porosity index

The density test allows the determination of the quality of the activated carbon and the presence of fibres in the precursors. The higher the fibre content, the more the bulk density increases (Yakout et al. 2015). On the other hand, the American Society for Water Work has set a minimum value for the bulk density value of 25 mg/mL so that the activated carbon is of high quality and of scientific value. Experimental results of the bulk density and compaction of activated carbon can provide information about the porosity (Olowoyo & Orere 2012). Table 2 shows the conformity of the values obtained for the bulk density of the adsorbent with those of the values cited in the literature. It was estimated to be 0.420 g/cm3 (Chan et al. 2011). The packed density value of activated carbon is 0.638 g/cm3. Therefore, It can be seen that the prepared activated carbon has a high porosity index of 34.34% because of the large difference between the bulk density and the packed density. This leads to conclude that the activation by ZnCl2 is certainly effective in increasing the density Isoelectric pH.

Isoelectric pH

Knowledge of the zero charge point (pHpzc) is very important information in the adsorption process. The zero charge point estimates both the internal and external surface charge of the particles. If the pH of the solution is above the zero point (pH > pHpzc), the carbon appears as an anion. and the carbon carries a positive charge if it is lower (pH < pHpzc). From this, it can be concluded that the positively charged carbon adsorbs the anions in solution while the negative carbon adsorbs cations (Shafeeyan et al. 2011). The pHpzc value of the obtained material corresponds to the intersection point between the curve obtained and the coordinate axis. As shown in the Figure 1, the pHpzc value of the activated carbon is close to the neutral (pHpzc = 6.61), this value is due to the salt treatment by ZnCl2 that the biomaterial underwent.

Figure 1

Isoelectric point of the prepared activated carbon.

Figure 1

Isoelectric point of the prepared activated carbon.

Close modal

FTIR

Analysis was performed to find out the functional groups present on the surface of activated carbon. The FTIR of the prepared sample is represented in Figure 2. Peaks found at 3,792.41, 3,731.87 and 3,447.13 cm−1 are attributed to the vibrations of hydroxyl groups (OH). The absorption peaks at 2,305.67, 2,101.66 and 2,001.78 cm−1 are attributed to the C ≡ C vibration. The peak at 1,588.02 cm−1 indicate the presence of a double bond C = C in the aromatic ring. The peaks at 1,000–1,300 cm−1 correspond to C–C and C–O groups (alcohols, phenols, acidic and ethers). Finally, the absorption peaks at 717.67 and 573.57 cm−1 are attributed to CH2 oscillation and C–O stretching vibrations.

Figure 2

FTIR spectrum of synthesized activated carbons via ZnCl2.

Figure 2

FTIR spectrum of synthesized activated carbons via ZnCl2.

Close modal

Similar results was found by Shaarani & Hameed 2011; Gao et al. 2013; Kan et al. 2017).

XRD analysis

Figure 3 shows the X-ray diffraction XRD characteristics of activated carbon. Broad peaks were observed and the almost complete absence of sharp peaks, which is a good and useful property that indicates the obtained activated carbon is a good adsorbent material (Hidayu & Muda 2016). The presence of large peaks at 2θ = 23.14–26.037° and 44.89–58.5° indicates the existence of amorphous carbon structure and irregular accumulation by carbon rings. This is very useful to produce a well-defined adsorbent material. As for the presence of peaks at 2θ = 31.394 and 33.42° is due to the presence of zinc which was used as a chemical activating agent of the raw material (Uçar et al. 2015).

Figure 3

XRD patterns of synthesized activated carbons via ZnCl2.

Figure 3

XRD patterns of synthesized activated carbons via ZnCl2.

Close modal

SEM studies

Figure 4 shows the SEM micrograph of the prepared adsorbent. It indicates the presence of a large number of pores randomly distributed on sample surface with an average diameter of 666.8 nm in image (a) and (772.9–701.8) nm in image (b) and (c) respectively. These pores indicate that the activated carbon has a relatively high surface area (Hidayu & Muda 2016).

Figure 4

Micrograph of the prepared activated carbon via ZnCl2.

Figure 4

Micrograph of the prepared activated carbon via ZnCl2.

Close modal

BET surface areas of the prepared activated carbon

The BET specific surface area of the adsorbent is an important and useful factor. This is due to its influence in the reaction or carbonization process, where there is a possibility of opening the restricted pores (Kılıç et al. 2012). Figure 5 shows the nitrogen adsorption isotherms at 77 K on the new adsorbent. The maximum BET area of AC reached 36.52 m2/g and the total pore volume was 0.0106 cm3/g. with an average pore size of 12.12 Ẳ. The activated carbon used in this study has a high surface area compared to previous studies. Table 3 shows the different surface areas of the materials previously studied.

Table 3

Comparison of BET surfaces areas between different activated carbons

Material nameBET surface area (m2/g)Références
RAC1 11.98 Uçar et al. (2015)  
RAC2 2.95 Uçar et al. (2015)  
M10-60-100 0.4312 Dina et al. (2012)  
M10-24-100 5.2605 Dina et al. (2012)  
MAPZC3 7.1314 Dina et al. (2012)  
MO 0.435 Mi et al. (2015)  
CHMW-MO 27.33 Mi et al. (2015)  
AC 36.5173 This study (Figure 5
Material nameBET surface area (m2/g)Références
RAC1 11.98 Uçar et al. (2015)  
RAC2 2.95 Uçar et al. (2015)  
M10-60-100 0.4312 Dina et al. (2012)  
M10-24-100 5.2605 Dina et al. (2012)  
MAPZC3 7.1314 Dina et al. (2012)  
MO 0.435 Mi et al. (2015)  
CHMW-MO 27.33 Mi et al. (2015)  
AC 36.5173 This study (Figure 5
Figure 5

N2 adsorption and pore size distribution of the prepared activated carbon via ZnCl2.

Figure 5

N2 adsorption and pore size distribution of the prepared activated carbon via ZnCl2.

Close modal

Batch adsorption

Effect of the contact time

The contact time is an important parameter. it expresses the time during which the adsorbent is saturated with adsorbate (Almeida et al. 2009). To determine the contact time necessary to reach the adsorption equilibrium of MB or CR, experiments were carried under the following conditions: volume of 20 mL of dyes initial concentration of 20 mg/L. pH of the solution, temperature of 20 °C, mass of the adsorbent of 0.015 g and a stirring speed of 200 rpm. The samples were taken at specific time intervals after filtration, the solutions were analyzed by UV-Vis spectrophotometer at a wavelength λmax = 662 nm for the BM and 550 nm for the CR.

Figure 6 shows that the adsorption kinetics of MB and CR can be elucidated in two steps: the first is the accelerated step in which the adsorption rate increases rapidly up to 40 min for the anionic dye and 120 min for the cationic dye due to the availability of vacant adsorption sites on the prepared activated carbon. The second step is a slow phase evolving towards pore saturation to stabilize at 180 min for MB and 80 min for CR with an adsorption rate of 99.52% and 99.64% for MB and CR respectively.

Figure 6

Effect of the contact time. (V = 20 mL, initial polluants concentration: 20 mg/L, m = 0.015 g, pH = 7, w = 200 rpm, T = 20 °C).

Figure 6

Effect of the contact time. (V = 20 mL, initial polluants concentration: 20 mg/L, m = 0.015 g, pH = 7, w = 200 rpm, T = 20 °C).

Close modal

Effect of the initial concentration of the adsorbate

The dye initial concentration in the solution is considered to be one of the defensive forces that prevent mass transfer between the solid and aqueous phase (Mall et al. 2005).

In order to study the effect of the initial concentration on the adsorption of MB and RC by the prepared activated carbon. The experiments were investigated by varying the concentration of the adsorbate in a range from 10 to 100 mg/L. The other parameters were kept constant as shown in Figure 7. It was noticed that for MB, the elimination rate increased with the initial concentration until reaching a maximum. up to 40 mg/L, an inverse correlation was observed with the percentage removal of MB from the aqueous solution. This is because there is not a sufficient amount of activated carbon with active sites available to absorb all MB molecules in solution. Furthermore, the results indicate that there is not an optimal amount of adsorbent for dye removal from aqueous solution, which depends on the initial dye concentration and other variable parameters, such as temperature and the pH. In the case of CR, it was noticed that the rate of elimination increased with the initial concentration until reaching a plateau at 70 mg/L where the rate of elimination no longer varies with the initial concentration of CR. This is due to the saturation of the active sites and therefore additional activated carbon must be added to the CR solution to increase the percentage removal of CR from the aqueous solution. These results are in agreement with the work carried out by (Arifur Rahman et al. 2012; Gupta et al. 2013).

Figure 7

Dye removal against the initial concentration of the adsorbate. (V = 20 mL, t = 40 min ; m = 0.015 g, pH = 7, w = 200 rpm, T = 20 °C).

Figure 7

Dye removal against the initial concentration of the adsorbate. (V = 20 mL, t = 40 min ; m = 0.015 g, pH = 7, w = 200 rpm, T = 20 °C).

Close modal

Effect of adsorbent mass

The practicality of the sorptive removing process of contaminants vastly depends on the adsorbent and its physicochemical (adsorbate-adsorbent interactions, sorbent surface area, contact time, pH, temperature, particle size, etc.).To determine the mass of activated carbon required to remove the two dyes: MB and CR, experiments were conducted at varied mass of adsorbent in the range of 0.001–0.5 g, while keeping the other parameters constant. As shown in Figure 8, very fast adsorption kinetics was observed which increases the percentage removal of both dyes with the increase in adsorbent dose up to 0.05 g for MB and 0.01 g in the case of CR, then the removal rate remained unchanged. At equilibrium time, the % of dye removal of MB was of 99.71% and of 98.02% for CR. This can be explained by the large number of vacant sites favoring the adsorption process. These results allowed to conclude the existence of a direct relationship between the mass of the adsorbent and the percentage of removal. Similar results were found by the study conducted by (Cherifi et al. 2013).

Figure 8

Dye removal against the dose of the adsorbent. (V = 20 mL, initial polluants concentration: 20 mg/L, pH = 7, w = 200 rpm, T = 20 °C).

Figure 8

Dye removal against the dose of the adsorbent. (V = 20 mL, initial polluants concentration: 20 mg/L, pH = 7, w = 200 rpm, T = 20 °C).

Close modal

Effect of the pH

Several studies conducted by Mall et al. 2005; Oh et al. 2012; Sánchez Orozco et al. 2018 proved that the pH value is the main factor affecting the adsorption process. It decomposes the functional groups of the adsorbent's active sites and affects its surface charge. In addition, it has a significant effect on the degree of ionization of the dye (Pavan et al. 2008). The effect of pH on the dye removal rate was performed in the range [2–12]. The other parameters were kept constant. In general, the activated carbon is defined as an amphoteric material, which possess both acidic and basic surface functional groups on their surface and show positively or negatively charged character depending on the solution pH. The attraction of activated carbon with anionic or cationic materials is mainly related with the surface characteristic. At the pHpzc, the charge of surface is neutral, so the surface charge of activated carbon at the pH value of 6.61 is neutral. At the pH values below 6.61, the surface of activated carbon will be positively charged. On the other hand, it will be negatively charged at pH values above 6.61. The results found are shown in Figure 9. This shows that MB adsorption on activated carbon had no significant effect in the pH range studied. MB adsorption on activated carbon increased slightly reaching 99.86%. This is due to the electrostatic attraction between MB and activated carbon because MB molecules are cationic at the pH above 6.61 which is negatively charged.

Figure 9

Dye removal against the pH. (V = 20 mL, initial polluants concentration: 20 mg/L, m = 0.015 g, w = 200 rpm, T = 20 °C).

Figure 9

Dye removal against the pH. (V = 20 mL, initial polluants concentration: 20 mg/L, m = 0.015 g, w = 200 rpm, T = 20 °C).

Close modal

As for the elimination of CR, at the pH values below 6.61, the surface of activated carbon is positively charged, and the dye adsorption process is mainly affected by pH. The removal rate of CR in the acid range (2–4) is greatly improved, reaching 99.93%, and then it begins to decrease gradually until it stabilizes in the basic medum (9–12) reaching 96.6%. Figure 9. This shows that MB adsorption on activated carbon had no significant effect in the pH range studied. MB adsorption on activated carbon increased slightly reaching 99.86%. This is due to the electrostatic attraction between MB and activated carbon because MB molecules are cationic at the pH above 6.61, which is negatively charged.

As for the elimination of CR, at the pH values below 6.61, the surface of AC is positively charged, the dye adsorption process is mainly affected by pH. The removal rate of CR in the acid range (2–4) is greatly improved, reaching 99.93%, and then it begins to decrease gradually until it stabilizes in the basic medum (9–12) reaching 96.6%. This can be explained as in the aqueous solutions, CR exists in dissociated form as anionic dye ions. In acidic medium a significantly high electrostatic force of attraction exists between the positively charged surface of activated carbon and the anionic dye, hence enhancing the dye uptake. However, with the increase of pH, the positively charged sites of the adsorbent get decreased and the surface of the adsorbent became negatively charged (Bestani et al. 2008; Ai et al. 2011; Banerjee & Chattopadhyaya 2013; Falyouna et al. 2022a, 2022b).

Adsorption isotherms

The study of the isotherms expresses the interaction mode between the adsorbent and the adsorbate. It also provides the relationship between the dye concentration in the solution and the amount of dye adsorbed at equilibrium (Pathania et al. 2017). There are many models available for the study of the adsorption isotherms. The two most common isotherms models in this study are the Langmuir and Freundlich isotherms.

Langmuir isotherm

Langmuir isotherm adsorption is applied for equilibrium adsorption assuming that the adsorption is monolayer on the surface with a specified number of identical sites (Ayawei et al. 2017). The Langmuir equation is written as follows (8) (Ghorai et al. 2013):
formula
(8)
  • where qe is the amount of the dye adsorbed per unit of mass of adsorbent at equilibrium (mg/g).

  • Ce is the pollutant concentration at equilibrium (mg/L); qm is the maximum adsorption capacity (mg/L).

  • KL is the kinetic constant of Langmuir (L/mg).

As shown in Figure 10, KL and qm were calculated based on the intersection and the slope of the Ce/qe versus Ce curve. The calculated values are depicted in Table 4. From this table. it was found that the two dyes have relatively high correlation coefficients. For BM and CR these are 0.980 and 0.901 respectively. These indicate that both models are suitable for the adsorption of the two dyes with a slight superiority of the Langmuir model. The dimensionless separation factor (RL) is defined by Equation (9). It is considered to be the basic characteristic of the Langmuir isotherm (Jung et al. 2013).
formula
(9)
where C0 is the initial concentration of the adsorbate (mg/L)
Table 4

Isotherm parameters for adsorption MB and CR onto activated carbon

AdsorbateLangmuir
Freundlich
qm (mg/g)KL (L/mg)RLR2AICKf (L/g)nR2AIC
MB 135.86 12.105 0.0041 0.980 23 146.480 2.425 0.928 28.67 
CR 140.25 1.165 0.0411 0.901 25.2 63.319 2.499 0.854 37.49 
AdsorbateLangmuir
Freundlich
qm (mg/g)KL (L/mg)RLR2AICKf (L/g)nR2AIC
MB 135.86 12.105 0.0041 0.980 23 146.480 2.425 0.928 28.67 
CR 140.25 1.165 0.0411 0.901 25.2 63.319 2.499 0.854 37.49 
Figure 10

Linear modeling of Langmuir isotherm for MB and CR.

Figure 10

Linear modeling of Langmuir isotherm for MB and CR.

Close modal

According to the obtained value of RL, the adsorption process is judged as follows: if RL = 0 the adsorption is irreversible. RL = 1 is linear (0 < RL < 1) the adsorption is favorable and RL > 1 the adsorption is unfavorable (Khozemy et al. 2020). For an initial concentration of 20 mg/L for both MB and CR. The RL values calculated in this study are of 0.0041 and 0.0411 for MB and CR respectively. These values indicate a favorable adsorption by the prepared adsorbent (Robati 2013). It also reveals a very strong interaction between activated carbon and dye molecules (Ayawei et al. 2017).

Freundlich isotherm

The Freundlich model assumes that the dye adsorption process is multi-layered and takes place on a heterogeneous surface isotherm (Jung et al. 2013). The Freundlich isotherm equation is given as follows (Khozemy et al. 2020).
formula
(10)
where:

Kf represents the adsorption capacity and n is the adsorption force (Simonin 2016). According to Table 4. values of n > 1 were found that allows to conclude that the adsorption of the two dyes is favorable onto the prepared activated carbon. Based on the correlation coefficient and the Akaike Information Criterion (AIC) values found, the Langmuir isotherm model is the most appropriate to describe the adsorption of the two types of dyes by the prepared activated carbon because it reaches the largest of R2 values and the lowest AIC values (Table 4). Moreover, the experimental and the calculated adsorption capacities by the Langmuir model are closer than those obtained by the Freundlish model that is less suitable to describe the adsorption of anionic and cationic dye (Figure 11).

Figure 11

Linear modeling of Freundlich isotherm for MB and CR.

Figure 11

Linear modeling of Freundlich isotherm for MB and CR.

Close modal

Adsorption kinetics

The kinetic model allows the estimation of the adsorption rate as well as to indicate the appropriate rate of the possible reaction mechanisms (Kaur et al. 2013). In addition to the correlation coefficient, a commonly used statistical approach, the AIC has been applied in kinetic and isothermal studies to have a better interpretation of the results found and to identify the best fitting model to experimental data. A lower value of AIC allows the conclusion that the model is the most suitable for describing the experimental data (Falyouna et al. 2022a, 2022b). The AIC can be calculated using the following equation:
formula
(11)
where N is the number of experimental samples, Np is the number of the parameters in the model and SSE is the sum of square error, which can be calculated by the following equation:
formula
(12)
where qt, exp and qt, pred are the adsorption capacity calculated from the experimental data and from the model, respectively.

To this end, in this study two models were tested for dye removal on the prepared activated carbon: the pseudo-first-order and pseudo-second-order models:

Pseudo-first-order model

The pseudo-first-order kinetic equation is given by the Equation (13) (Othman et al. 2018).
formula
(13)
where
  • qt is the adsorbed amount (mg/g) at time (t).

  • qe is the amount adsorbed at equilibrium (mg/g).

  • k1 is the adsorption rate constant for the pseudo-first order (min−1)

  • t is the contact time (min).

The values of the coefficients, K1 and qe are calculated from the slope and the intercept of ln (qe-qt) versus time curve (Figure 12). The results are presented in Table 5. Based on the results found, it was noticed from the negative values of the AICs and the very low correlation coefficients, which showed a large difference between the experimental and calculated adsorption capacities (qm), that the pseudo-first-order model is unsuitable for the two dyes studied. Similar results were found by Panda et al. 2009; Karaçetin et al. 2014.

Table 5

Comparison between the pseudo-first-order and pseudo-second order

AdsorbatePseudo-first order
Pseudo-second order
qe (mg/g)K1 (1/min)R2AICqe (mg/g)K2 (g/mg·min)R2AIC
MB 2.056 0.0132 0.749 12.82 27.02 0.085 0.999 31.35 
CR 0.394 0.0107 0.363 47.32 26.645 0.022 0.999 31.32 
AdsorbatePseudo-first order
Pseudo-second order
qe (mg/g)K1 (1/min)R2AICqe (mg/g)K2 (g/mg·min)R2AIC
MB 2.056 0.0132 0.749 12.82 27.02 0.085 0.999 31.35 
CR 0.394 0.0107 0.363 47.32 26.645 0.022 0.999 31.32 
Figure 12

Pseudo-first- and second-order modeling for MB and CR.

Figure 12

Pseudo-first- and second-order modeling for MB and CR.

Close modal

Pseudo-second-order model

The relationship of the pseudo-second-order is given by Equation (14) (Karaçetin et al. 2014).
formula
(14)
where
  • qe is the equilibrium adsorption capacity (mg/g);

  • qt is the adsorption capacity (mg/g) at time (t);

  • t is the contact time (min);

  • K2 is the adsorption rate constants for the second order (g/mg.min).

From Figure 13, the value of qe is derived from the relationship between the reciprocal of the slope of the curve t/qt versus t and K2 is calculated from the intercept of the curve. All experimental results are depicted in Table 5. It was noticed that the correlation coefficients for the two dyes are close to 1 and the AIC values were practically similar. The maximum experimental and calculated adsorption capacities are very close, which allow to deduce that the adsorption of MB and CR was described very well by the pseudo-second-order kinetics. The results obtained are comparable with those obtained by Karaçetin et al. 2014.

Figure 13

Pseudo second order modeling for MB and CR.

Figure 13

Pseudo second order modeling for MB and CR.

Close modal

Thermodynamic of adsorption

Temperature is an important parameter in the adsorption process. To understand the influence of this parameter on the adsorption of the anionic dye on our activated carbon, experiments were performed in a range of temperature from 20 to 80 °C, maintaining the other parameters constant. The results reflected the exothermic nature of the two dyes removal process from water by the prepared activated carbon. As shown in Figure 14, the removal efficiency decreased by increasing temperature. This decrease can be explained by the fact that the increase in temperature induces the increase on both mobility of the particles of dye in solution and diffusion of dye on the active surface of the carbon. Similar results have been found when a cationic dye was removed from an aqueous solution using an arginine-modified activated carbon. Maximum adsorption was obtained at a temperature of 20 °C for the two pollutants with a dye removal of 99.95% for MB and 99.98% for CR.

Figure 14

Effect of temperature on the removal of MB an CR onto activated carbon. (V = 20 mL, initial polluants concentration: 20 mg/L, m = 0.015 g, t = 40 min for CR t = 120 min for MB, pH = 4 for CR pH 7 for MB, w = 200 rpm)

Figure 14

Effect of temperature on the removal of MB an CR onto activated carbon. (V = 20 mL, initial polluants concentration: 20 mg/L, m = 0.015 g, t = 40 min for CR t = 120 min for MB, pH = 4 for CR pH 7 for MB, w = 200 rpm)

Close modal
Thermodynamic parameters have an important role to evaluate the phenomenon of the adsorption process. The thermodynamic parameters, namely, free energy (ΔG°), enthalpy (ΔH°), and entropy (ΔS°), for adsorption process were obtained using the Van't Hoff equation (Maamoun et al. 2021):
formula
(15)
formula
(16)

Enthalpy and entropy values were obtained from the linear plot of the variation of Ln(Ke) against 1/T (Figure 15), ΔH°/R and ΔS°/R are respectively the slope and the intercept of the Equation (16), where R is the thermodynamic parameter 8.314 (J/mo.K).

Figure 15

Enthalpy and entropy change determination of the adsorption of MB and CR onto the prepared activated carbon.

Figure 15

Enthalpy and entropy change determination of the adsorption of MB and CR onto the prepared activated carbon.

Close modal

The values of the thermodynamic adsorption parameters of the two pollutants are grouped in Table 6.

Table 6

Thermodynamic parameters for the removal of ionic dyes by activated carbon

AdsorbateT (K)LnkeΔG°(kJ/mol)ΔH°(kJ/mol)ΔS°(kJ/mol·K)R2
 293 7,999 − 19,486    
MB 313 6,823 − 17,756 −32.3733 −0.0454 0.915 
 333 5,984 − 16,569    
 353 5,803 − 17,033    
 293 9,141 − 22,267    
CR 313 6,366 − 16,567 −79.062 −0.1970 0.914 
 333 4,194 − 11,611    
 353 3,819 − 11,208    
AdsorbateT (K)LnkeΔG°(kJ/mol)ΔH°(kJ/mol)ΔS°(kJ/mol·K)R2
 293 7,999 − 19,486    
MB 313 6,823 − 17,756 −32.3733 −0.0454 0.915 
 333 5,984 − 16,569    
 353 5,803 − 17,033    
 293 9,141 − 22,267    
CR 313 6,366 − 16,567 −79.062 −0.1970 0.914 
 333 4,194 − 11,611    
 353 3,819 − 11,208    

The negative values of ΔG° and ΔH° < 0 calculated at equilibrium indicate that the adsorption is spontaneous, physisorption process of type and exothermic for both. Moreover, the negative value of ΔS° indicates that the adsorption occurred leading to a smaller disorder degree in the whole system (Han et al. 2015; El Alouani et al. 2019).

This work was focused on the use of the red pumpkin skin as an adsorbent to remove anionic and cationic dyes contained in industrial wastewater. The study of parametric effects showed that the contact time reached 180 min for MB and 80 min for CR. The dye removal efficiency is inversely proportional to the initial dye concentration. The percentage of dye removal increases with the mass of the adsorbent up to 0.05 g for MB and 0.01 g for CR. The influence of pH value proved that BM is adsorbed in a basic medium and CR is adsorbed in an acidic medium. The Langmuir model gave a good description for the modeling of MB and CR adsorption isotherms. The modeling of the adsorption kinetics is perfectly described by pseudo-second-order kinetics with a correlation coefficient of 0.999 for both dyes.

Data cannot be made publicly available; readers should contact the corresponding author for details.

Almeida
C. A. P.
,
Debacher
N. A.
,
Downs
A. J.
,
Cottet
L.
&
Mello
C. A. D.
2009
Removal of methylene blue from colored effluents by adsorption on montmorillonite clay
.
J. Colloid Interface Sci.
332
(
1
),
46
53
.
Arifur Rahman
M.
,
Ruhul Amin
S. M.
&
Shafiqul Alam
A. M.
2012
Removal of methylene blue from waste water using activated carbon prepared from rice husk
.
Dhaka Univ. J. Sci.
60
(
2
),
185
189
.
Ayawei
N.
,
Ebelegi
A. N.
&
Wankasi
D.
2017
Modelling and interpretation of adsorption isotherms
.
J. Chem.
2017
,
1
11
.
Banerjee
S.
&
Chattopadhyaya
M. C.
2013
Adsorption characteristics for the removal of a toxic dye, tartrazine from aqueous solutions by a low cost agricultural by-product
.
Arabian J. Chem.
10
(
2
),
S1629
S1638
.
Bestani
B.
,
Benderdouche
N.
,
Benstaali
B.
,
Belhakem
M.
&
Addou
A.
2008
Methylene blue and iodine adsorption onto an activated desert plant
.
Bioresour. Technol.
99
(
17
),
8441
8444
.
Collivignarelli
M. C.
,
Abbà
A.
,
Carnevale Miino
M.
&
Damiani
S.
2019
Treatments for color removal from wastewater: state of the art
.
J. Environ. Manage.
15
,
727
745
.
Cruz
G.
,
Pirila
M.
,
Huuhtanen
M.
,
Carrión Peña
L.
,
Emilio
A.
&
Keiski
R.
2012
Production of activated carbon from Cocoa (Theobroma cacao) Pod Husk
.
J. Environ. Eng.
2
,
2
7
.
Cuong Nguyen
X.
,
Thanh Huyen Nguyen
T.
,
Hong Chuong Nguyen
T.
,
Van Le
Q.
,
Yen Binh Vo
T.
,
Cuc Phuong Tran
T.
&
Duc Nguyen
D.
2021
Sustainable carbonaceous biochar adsorbents derived from agro-wastes and invasive plants for cation dye adsorption from water
.
Chemosphere
282
,
131009
.
Dina
D. J. D.
,
Ntieche
A. R.
,
Ndi
J. N.
&
Ketcha Mbadcam
J.
2012
Adsorption of acetic acid onto activated carbons obtained from maize cobs by chemical activation with zinc chloride (ZnCl2)
.
Res. J. Chem. Sci.
2
(
9
),
42
49
.
Falyouna
O.
,
Maamoun
I.
,
Bensaida
K.
,
Tahara
A.
,
Sugihara
Y.
&
Eljamal
O.
2022a
Chemical deposition of iron nanoparticles (Fe0) on titanium nanowires for efficient adsorption of ciprofloxacin from water
.
Water Pract. Technol.
17
(
1
),
75
83
.
Falyouna
O.
,
Maamoun
I.
,
Bensaida
K.
,
Tahara
A.
,
Sugihara
Y.
&
Eljamal
O.
2022b
Encapsulation of iron Nanoparticles with magnesium hydroxide shell for remarkable removal of ciprofloxacin from contaminated water
.
J. Colloid Interface Sci.
605
,
813
827
.
Gupta
V. K.
,
Ali
I.
,
Saleh
T. A.
,
Siddiqui
M. N.
&
Agarwal
S.
2013
Chromium removal from water by activated carbon developed from waste rubber tires
.
Environ. Sci. Pollut. Res. Int.
20
(
3
),
1261
1268
.
Gurav
R.
,
Bhatia
S. K.
,
Choi
T.-R.
,
Choi
Y. K.
,
Kim
H. J.
,
Song
H. S.
,
Lee
S. M.
,
Lee Park
S.
,
Lee
H. S.
,
Koh
J.
,
Jeon
J. M.
,
Yoon
J. J.
&
Yang
Y. H.
2021
Application of macroalgal biomass derived biochar and bioelectrochemical system with Shewanella for the adsorptive removal and biodegradation of toxic azo dye
.
Chemosphere
284
(
2
),
128539
.
Han
X.
,
Chu
L.
,
Liu
S.
,
Chen
T.
,
Ding
C.
,
Yan
J.
,
Cui
L.
&
Quan
G.
2015
Removal of methylene blue from aqueous solution using porous biochar obtained by KOH activation of peanut shell biochar
.
Bio Resources
10
(
2
),
2836
2849
.
Jianping
L.
,
Minrong
L.
,
Jinnan
W.
,
Jianjian
L.
,
Hongwen
S.
,
Maoxing
H.
2013
Global environmental issues and human wellbeing
. In:
Report on Global Environmental Competitiveness. Current Chinese Economic Report Series
(
Jianping
L.
,
Minrong
L.
,
Jinnan
W.
,
Jianjian
L.
,
Hongwen
S.
&
Maoxing
H.
, eds).
Springer
,
Berlin, Heidelberg
.
Karimnezhad
L.
,
Haghighi
M.
&
And Fatehifar
E.
2014
Adsorption of benzene and toluene from waste gas using activated carbon activated by ZnCl2
.
Front. Environ. Sci. Eng.
8
,
835
844
.
Khelifi
O.
,
Mehrez
I.
,
Ben Salah
W.
,
Ben Salah
F.
,
Younsi
M.
,
Nacef
M.
&
Affoune
A. M.
2016
Study of methylene blue (mb) adsorption from aqueous solutions on biosorbent prepared from Algerian datte stones
.
Larhyss J.
28
,
135
148
.
Kouadio
D. L.
,
Diarra
M.
,
Tra
B. D.
,
Akesse
D. P. V.
,
Soro
B. D.
,
Aboua
K. N.
,
Meite
L.
,
Kone
M.
,
Dembele
A.
&
Traore
K. S.
2019
Adsorption of the Yellow 11 textile dye on activated carbon from the peanut shell
.
Int. J. Innov. Sci.
26
,
1280
1292
.
Lee
S. L.
,
Park
J. H.
,
Kim
S. H.
,
Kang
S. W.
,
Cho
J. S.
,
Jeon
J. R.
,
Lee
Y. B.
&
Seo
D. C.
2019
Sorption behavior of malachite green onto pristine lignin to evaluate the possibility as a dye adsorbent by lignin
.
Appl. Biol. Chem
62
(
1
),
1
10
.
Li
X.
,
He
Y.
,
Sui
H.
&
He
L.
2018
One-step fabrication of dual responsive lignin coated Fe3O4 nanoparticles for efficient removal of cationic and anionic dyes
.
Nanomaterials
8
(
3
),
1
16
.
Maamoun
I.
,
Eljamal
D.
,
Falyouna
O.
,
Bensaida
K.
,
Sugihara
Y.
&
Eljamal
O.
2021
Insights into kinetics, isotherms and thermodynamics of phosphorus sorption onto nanoscale zero-valent iron
.
J. Mol. Liq.
328
,
115402
.
Mamane
D. S.
,
Zanguina
A.
,
Daou
I.
&
Natatou
I.
2016
Préparation et caractérisation de charbons actifs à base de coques de noyaux de Balanites Eagyptiaca et de Zizyphus Mauritiana
.
J. Soc. Ouest-Afr. Chim.
41
,
59
67
.
Manisalidis
I.
,
Stavropoulou
E.
,
Stavropoulos
A.
&
Bezirtzoglou
E.
2020
Environmental and health impacts of air pollution: a review
.
Front Public Health.
8
(
14
),
1
13
.
Masood
F.
,
Grohmann
E.
,
Akhtar
R.
,
Malik
A.
2014
Environmental deterioration and human health: an overview
. In:
Environmental Deterioration and Human Health
(
Malik
A.
,
Grohmann
E.
&
Akhtar
R.
, eds).
Springer
,
Dordrech
.
Ntakirutimana
S.
,
Tan
W.
&
Wang
Y.
2019
Enhanced surface activity of activated carbon by surfactants synergism
.
RSC Adv.
9
(
45
),
26519
26531
.
Oh
Y. K.
,
Choi
B.
,
Shinogi
Y.
&
Chikushi
J.
2012
Effect of pH conditions on actual and apparent fluoride adsorption by biochar in aqueous phase
.
Water Air Soil Pollut.
223
,
3729
3738
.
Olowoyo
D. N.
&
Orere
E. E.
2012
Preparation and characterization of activated carbon made from palm-kernel shell. Coconut shell. groundnut shell and obeche wood (investigation of apparent density. Total ash content. Moisture content. Particle size distribution parameters
.
Int. J. Res. Chem. Environ.
2
(
3
),
32
35
.
Othman
N. H.
,
Alias
N. H.
,
Shahruddin
M. Z.
,
Bakar
N. F. A.
,
Him
N. R. N.
&
Lau
W. J.
2018
Adsorption kinetics of methylene blue dyes onto magnetic graphene oxide
.
J. Environ. Chem. Eng.
6
(
2
),
2803
2811
.
Ozdemir
S.
,
Cirik
K.
,
Akman
D.
,
Sahinkaya
E.
&
Cinar
O.
2013
Treatment of azo dye-containing synthetic textile dye effluent using sulfidogenic anaerobic baffled reactor
.
Bioresour. Technol.
146
,
135
143
.
Pavan
F. A.
,
Dias
S. L. P.
,
Lima
E. C.
&
Benvenutti
E. V.
2008
Removal of Congo Red from aqueous solution by anilinepropylsilica Xerogel
.
Dyes Pigm.
76
(
1
),
64
69
.
Ruthiraan
M.
,
Abdullah
E. C.
,
Mubarak
N. M.
&
Noraini
M. N.
2017
A promising route of magnetic based materials for removal of cadmium and methylene blue from waste water
.
J. Environ. Chem. Eng.
5
(
2
),
1447
1455
.
Sánchez Orozco
R.
,
Martínez-Juan
M.
,
García-Sánchez
J.
&
Ureña-Núñez
F.
2018
Removal of methylene blue from aqueous solution using Typha stems and leaves
.
Bioresource
13
(
1
),
1696
1710
.
Shaarani
F. W.
&
Hameed
B. H.
2011
Ammonia-modified activated carbon for the adsorption of 2.4-dichlorophenol
.
Chem. Eng. J.
169
(
1–3
),
180
185
.
Shafeeyan
M. S.
,
Daud
W.
,
Houshmand
A.
&
Arami Niya
A.
2011
Ammonia modification of activated carbon to enhance carbon dioxide adsorption: effect of pre-oxidation
.
Appl. Surf. Sci.
257
(
9
),
3936
3942
.
Veena Devi
B.
,
Jahagirdar
A. A.
&
Zulfiqar Ahmed
M. N.
2012
Adsorption of chromium on activated carbon prepared from coconut shell B
.
Int. J. Eng. Res. Appl.
2
(
5
),
364
370
.
Yakout
S. M.
,
Daifullah
A. A. M.
,
El-Reefy
S. A.
&
Ali
H. F.
2015
Surface modification and characterization of a RS activated carbon: density. yield. XRD. ash and moisture content
.
Desalin. Water Treat.
53
(
3
),
718
726
.
Yorgun
S.
,
Vural
N.
&
Demiral
H.
2009
Preparation of high-surface area activated carbons from Paulownia wood by zncl2 activation
.
Microporous Mesoporous Mater.
122
(
1–3
),
189
194
.
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