The presence of pesticides in the environment is of great concern due to their persistent nature and chronic adverse effect on human health and the environment. Water bodies are subject to pollution by organochlorine pesticides, especially in developing countries, where water pollution is a key sustainability challenge. Hence, activated carbon is considered a universal adsorbent for the removal of organochlorine pollutants from water. Activated carbon from
Acatia etbaica was prepared using traditional kilns with low investment costs. Pesticides such as aldrin, dieldrin and DDT were selected for adsorption because of their common usage in agricultural and malaria control activities and may occur in high concentrations in surface waters that are used as drinking water sources. The effect of the adsorbent dose and initial concentration were investigated. To describe the equilibrium isotherms the experimental data were analyzed by the Langmuir and Freundlich isotherm models. The Freundlich model gave the best correlation with the experimental data. Activated carbon prepared from
Acacia etbaica was found to be an effective and low-cost alternative for the removal of organochlorine pesticides from aqueous solutions. The preparation method allows the use of this material by local communities for effective remediation of pollution by pesticides.
<i>Acacia etbaica</i> Activated Carbon Organochlorine Pesticides Adsorption Water Purification1. Introduction
Surface water bodies are subject to pollution by organochlorine pesticides, especially in developing countries, where the safety of surface water bodies is closely related to human health [1] . Contamination of water resources by pesticide residues is a key sustainability challenge [2] . Their extensive use in world-wide agricultural practice in addition to industrial emission during their production has led to substantial occurrence of pesticide residues and their metabolites in food commodities, water and soil [3] . The presence of organochlorine pesticides in the environment is of great concern due to their persistent nature and chronic adverse effect on human health and the environment [4] - [7] . Many organochlorines have been implicated in a broad range of adverse human health and environmental effects, including impaired reproduction, endocrine disruption, immunosuppression, attacks nervous systems, convulsion, liver damage, carcinogenic and destroys enzymatic activities [8] - [15] .
Organochlorine pesticides have been widely used around the world to boost agricultural crop yield and to control vector-borne diseases [16] - [18] . While many organochlorine pesticides have been banned in the developed countries for several decades, they continue to be used in some parts of Africa [19] . The early spectacular success of dichlorodiphenyl-trichloroethane (DDT) for malaria control in some countries has resulted in a continued use of this insecticide in developing countries, including Ethiopia [20] [21] .
A number of technologies are available to control water pollution [22] . Some of them are coagulation- flocculation [23] , anaerobic biodegradation [24] [25] , photodegradation [26] , ozonization [27] , ion exchange [28] , advanced oxidation processes [29] [30] , nanofiltration [31] [32] and adsorption on different activated carbons [28] [33] - [35] . However, most of them require substantial financial input and their use is often restricted because of cost factors overriding the importance of pollution control. This makes their application unfeasible for local communities in non-industrialized countries. Among various available water treatment technologies, adsorption is considered one of the most feasible processes because of its convenience, ease of operation and simplicity of design [36] . This process can remove/minimize different types of pollutants and thus it has a wider applicability in water pollution control [37] .
Activated carbon is considered a universal adsorbent for the removal of diverse types of pollutants from water [38] . However, widespread use of commercial activated carbon is restricted for small-scale, often remote communities due to its high cost [39] . Attempts have been made to develop inexpensive adsorbents utilizing numerous agro-industrial and municipal waste materials. The use of waste materials as low-cost adsorbents is attractive due to their contribution in the reduction of costs for waste disposal, therefore contributing to environmental protection. Some of the low-cost alternative adsorbents used include bamboo and coconut shell [40] , cactus [41] , rice husk [42] , bamboo canes, peanut shells, olive stones, avocado stones, date stones, straw, wood sawdust [43] , agave bagasse [44] , rice bran, rice husk, bagasse fly ash of sugarcane, Moringa oleifera pods [45] , sheep manure and spent coffee grounds [46] , date and olives stones [47] , oil palm shell [48] , and coconut [49] .
Acacia etbaica (A. etbaica) belongs to the Fabaceae-Mimosoideae family of plants and is also known as arrad (in Arabic), mgunga (in Swahili) and seraw (in Tigrigna) (Agroforestry tree data base). Acacia etbaica occurs in dry bush land, thickets, semi-desert scrub and wooded grasslands. Countries where this crop is commonly known are Eritrea, Ethiopia, Kenya, Somalia, Sudan, Tanzania, and Uganda; however, it is also found elsewhere. Acacia etbaica is widely used as a source of firewood. The tree is also widely used to make the pillars and beams of earthen houses in northern Ethiopia [50] and as a medicine where its bark is chewed as a stimulant and is also used in the treatment of gonorrhea. Yet, this locally available resource has not been studied for its use in water treatment.
The purpose of this work is not only to develop a low-cost method that can be used in remote communities, but also to evaluate the adsorption capacity of A. etbaica-based activated carbon in removing trace levels of organic pollutants from aqueous solution. None have been recorded on the adsorption of organochlorine pesticides using A. etbaica activated carbon and used to embark on this investigation. Organochlorine pesticides of aldrin, dieldrin and DDT were selected for this study, since they are a critical threat for local communities in developing countries. They are toxic and their application has been banned worldwide. Despite this, most are widely used in many developing countries for the control of mosquitos, harmful soil insects and plant pests [51] . The adsorption capacity of A. etbaica-based activated carbon was compared to that of commercial activated carbon.
2. Materials and Methods2.1. Activated Carbon
The granulated activated carbons were selected from two raw materials: commercial activated carbon (CAC) (NORIT N.V, Amersfoort―The Netherlands) and activated carbon made from A. etbaica (AEAC) (locally made in Ethiopia). The commercial activated carbon was used as a reference in comparison with the local activated carbon. Acacia etbaica was obtained from local villages, where it is mainly used as energy source.
2.2. Preparation of Activated Carbon
Dry wood logs of A. etbaica was cut into pieces, 50 - 100 cm size, and buried in earth-covered traditional kilns for weeks, where wood is cut and stacked before being covered in earth and carbonized. The kilns are practical with low-investment options for poor producers. The charcoal was ground in a high-speed rotary cutting mill and sieved into different mm sizes. Before the application of the charcoal to our research it was washed several times with distilled water to remove dust and some other residuals. The washed samples were dried at room temperature and packed in an air tight container.
For better understanding the surface properties, both commercial and locally made activated carbon was examined using scanning electron microscopy (Philips XL 30 FEG SEM, at 10 keV, The Netherlands).
For the determination of metal content, 0.1 g of adsorbent sample was mixed with 5 mL of 70% nitric acid in a plastic beaker and gently boiled for 15 minutes. When no more brown fumes of NO2 were observed, 5 mL of perchloric acid was added and gentle boiling continued until almost all material had dissolved. The mixture was then filtered and washed three times with distilled water. The filtrate and washings were diluted to 100 mL with de-ionized water. The solution obtained was analyzed for metal content using ICP-MS ('Thermo X Series 1, Thermo Fischer Scientific, Belgium). The methods of detection limits (MDLs) for ICP-MS used for the analysis of most elements and their limits of quantification was 1 µg/L with the relative standard deviation (RSD %) value 3.0%. T-test for the elemental composition of the adsorbents was performed using SAS 9.2.
3. Chemicals
Analytical grade chemicals were used during the experiment: aldrin, dieldrin, DDT and trifluralin (Sigma Aldrich, Belgium), methanol (VWR, Belgium), dichloromethane (Fisher Scientific, Belgium), anhydrous sodium sulphate (ACROS, Belgium), nitric acid (Fisher Scientific, Belgium), perchloric acid (Fisher Scientific, Belgium).
3.1. Sample Preparation
Test solutions of organochlorine pesticides were prepared by serial dilution of stock solutions using methanol (VWR, Belgium). The concentrations of pesticides added to the water samples ranged from 1 to 1000 µg/L, to simulate actual concentrations in surface water up to extreme circumstances [23] . Stock solutions of trifluralin (200 mg/L) were also prepared as an internal standard using methanol.
3.2. Instrumentation
The extracted pesticides were analyzed by gas chromatography (GC) on a Perkin Elmer Auto System XL and a Perkin Elmer electron capture detector (ECD). The column used was CP-Sil 8CB (Chromopack, WCOT Fused Silica, 50 m × 0.25 mm, ID = 0.4, Holland). All GC analyses were carried out at 260˚C, 250˚C and 275˚C for column, injector and detector, respectively, in a total run time of 40.5 min/sample. The mobile phase used was nitrogen at a flow rate of 60 mL/min.
3.3. Batch Adsorption Experiments
Batch equilibrium adsorption experiments were performed using 100 mL of spiked pesticide aqueous solutions. After the adsorption process, the adsorbent was separated from the samples by filtering and pre-concentrated using liquid?liquid extraction. Two extractions with 35 mL of dichloromethane (Fisher Scientific) were carried out for each sample. To control for losses during extraction, 5 µL of 100 mg/L trifluralin (Sigma Aldrich) was added as an internal standard to each sample. The extracts were combined and dried with anhydrous sodium sulphate (ACROS). The extracts were concentrated to 1 - 2 mL by evaporation at 65˚C in a Kuderna-Danish flask. The samples were kept in a refrigerator at 4˚C until analysis.
We investigated the effects on adsorption of the organochlorine pesticides onto A. etbaica derived and commercial activated carbon of adsorption parameters such as particle size (0.25 - 2 mm), adsorbent dose (2.5, 5.0, 7.5, and 10.0 g/L), initial pesticides concentration (10, 25, 50, 100, 250 µg/L), contact time (120 min) were studied at room temperature and pH 7 in a batch mode of operation.
The amount of pesticide adsorbed per weight unit of activated carbon, qe, was calculated using the Equation (1):
where Co and Ce are the pesticide concentration measured before and after adsorption (µg/L), V is the volume of aqueous solution (L) and W is dry weight of the adsorbent (g). Two replicates per sample were done and the average results were used. By quantifying the pesticide concentration before and after adsorption, the efficiency of adsorption of pesticide by activated carbon was calculated by using Equation (2):
3.4. Column Application
The column experiment was carried out using filter funnel columns (KU Leuven, C. G. B.) with an internal diameter of 2.5 mm and a bottom with a pore size less than 0.25 mm not to lose any adsorbent material. The columns were made of transparent glass, and had a height of 210 mm. These columns were filled with varied doses of 3, 5, 7, 9 and 11 g of 0.25 - 0.5 mm size AEAC adsorbents. Prior to column filtration, the turbidity of the adsorbent material were removed by flushing of distilled water through the adsorbent. Then, the column was used for sample filtration. In these experiments, a substantially lower concentration of pesticides 20 µg/L of each component was applied in order to approach realistic concentrations in surface waters. Each time 25 mL of water spiked with 20 µg/L of pesticides (aldrin, dieldrin and DDT) was flushed through the column and the amount of pesticides in the effluent determined. The small-scale column tests were performed in a laboratory set-up by adjusting a constant flow rate at room temperature. Through this the breakthrough curve of the AEAC was also determined.
3.5. Determination of Adsorption Isotherms
Adsorption isotherms are equilibrium relationships between the concentration of the adsorbed pesticides and their concentration retained in the solution at a given temperature. The adsorption isotherm experiments were conducted on the basis of batch experiments [2] [52] . In this study, Langmuir and Freundlich isotherm models were used to investigate the adsorption equilibrium between the pesticides solution and activated carbon phase.
The Langmuir model is a non-linear model that suggests a monolayer uptake of the pesticides on a homogenous surface, having uniform energies of adsorption for all the binding sites without any interaction between the adsorbent molecules [53] . The linear form of the Langmuir isotherm [54] [55] is represented by the following equation:
where Ce (µg/L) is the equilibrium concentration, Qo (µg/g) the monolayer capacity of the adsorbent, and b (L/µg) is the Langmuir adsorption constant. A plot of Ce/qe versus Ce gives Qo and b if the isotherm follows the Langmuir model.
The Freundlich isotherm is an empirical model that is based on adsorption on heterogeneous surface and active sites with different energy. The linearized Freundlich isotherm [56] is represented by the following equation:
where qe is the amount of adsorbed analyte (µg/g), Ce is the equilibrium concentration of the adsorbate (µg/L) and KF (µg/g (L/µg)1/n and 1/n are Freundlich constants related to adsorption capacity of the adsorbents and surface heterogeneity. When log qe is plotted against log Ce and data are analyzed by linear regression, 1/n and KF constants can be determined from the slope and intercept, respectively [2] [56] [57] .
4. Results and Discussion4.1. Characterization of Activated Carbon
Since adsorption is a surface phenomenon, the rate and extent of adsorption specific to a given adsorbent are influenced by the physico-chemical characteristics of the adsorbent such as surface area, pore size, surface chemistry and elemental composition [58] . Table 1 represents the elemental composition of the adsorbents AEAC and CAC used during the analysis. The locally prepared activated carbon, AEAC, is rich in calcium and potassium and that the CAC is rich in magnesium, sodium, iron and manganese. Both carbon adsorbents (AEAC and CAC) exhibit similar trace metal concentrations except in sodium, potassium, magnesium, calcium, iron and manganese that shows a significance difference at p < 0.05 (Table 1).
Scanning electron microscopy (SEM) was used to observe the surface physical morphology of the adsorbents. SEM micrographs of AEAC and CAC are given in Figure 1. Examination of the SEM micrograph showed that a thick wall structure exists along with a well developed wider porosity for both adsorbents, indicating that the external surfaces of the adsorbent materials are full of cavities. The SEM images of the adsorbents indicate a very large surface area in both adsorbents, suggestive of a high adsorption capacity for microorganic pollutants [34] .
4.2. Effect of Adsorbent Dose
The adsorbent dose is an important parameter because this parameter determines the capacity of adsorbent for a given adsorbate concentration and also determines sorbent-sorbate equilibrium of the system [59] . The effect of the adsorbent dose on the removal of pesticides was studied by varying the dose of the adsorbent from 2.5 - 10.0 g/L. The experiments were carried out at fixed pesticide concentration of 250 µg/L, at room temperature (25˚C)
SEM images of AEAC and CAC
Metal content (Mean ± standard deviation, in µg/g) of AEAC and CAC
Type of adsorbent
Na
Mg
Si
K
Ca
V
Cr
Fe
Mn
AEAC
15 ± 1
160 ± 18
631 ± 146
281 ± 32
5305 ± 495
25 ± 4
10 ± 4
118 ± 31
3 ± 0.7
CAC
155 ± 13
850 ± 28
661 ± 331
94 ± 6
897 ± 54
26 ± 3
13 ± 8
220 ± 12
6 ± 0.4
p-value
0.003
<0.0001
0.893
0.008
0.004
0.734
0.660
0.019
0.005
Type of adsorbent
Co
Ni
Cu
Zn
Mo
Cd
Sn
Pb
As
AEAC
0.1 ± 0.02
2.8 ± 1
0.9 ± 0.07
3.9 ± 1
0.2 ± 0.03
0.1 ± 0.03
0.2 ± 0.04
CAC
0.1 ± 0.01
1.1 ± 0.21
2.7 ± 1.9
6.0 ± 2
0.2 ± 0.05
0.2 ± 0.07
0.4 ± 0.2
p-value
0.359
0.447
0.253
0.202
0.195
-
0.062
0.245
-
and pH 7. The percentage of pesticides adsorption with varying amounts of adsorbents (AEAC and CAC) is presented in Figure 2. It is evident that the adsorbent dose substantially influences the amount of pesticides adsorbed. The increase in the amount of pesticides adsorbed was found to be high when the amount of adsorbent was increased from 2.5 to 5.0 g/L (Figure 2). Further increase of the adsorbent dose resulted in a small increase in adsorption. 7.5 g/L is considered the optimum dose. The initial rise in adsorption with adsorbent dose is probably due to greater surface area and the availability of more adsorption sites while the number of adsorbate molecules is constant [60] [61] . The decrease in adsorption of organochlorine pesticides per unit mass of adsorbent, qe (µg/g) that was observed as the dose of adsorbent was increased might be due to interference between binding sites of AEAC and CAC doses [59] [62] [63] . A behavior similar to this has also been observed by Ozcan et al. [62] for adsorption of organochlorine pesticides from aqueous solution.Therefore, as it is seen in Figure 2, the percent of adsorption of pesticides increased with adsorbent dosage, whereas the amount adsorbed per unit mass of adsorbent (qe) decreased. Above 7.5 g/L of adsorbent dose, no change in adsorption capacity was observed, which can be attributed to saturation at the exterior surface and the repulsive forces among the pesticide molecules [64] . The locally prepared activated carbon has a good adsorption capacity for the organochlorine pesticides. As clearly seen in Figure 2, it was found to have adsorption capacities almost equal to commercial activated carbon. Hence, A. etbiaca can be used as a low-cost effective adsorbent as an alternative to commercial activated carbon for removal of the organochlorine pesticides from water.
4.3. Effect of Initial Pesticide Concentration
Adsorption of organochlorine pesticides (aldrin, dieldrin and DDT) from aqueous solution onto AEAC and CAC was measured for five different initial concentrations (10, 25, 50, 100, and 250 µg/L) at an adsorbent dosage of 10 g/L. The effect of the initial concentration of pesticides on the amount of adsorption is shown in Figure 3. The equilibrium adsorption efficiency of AEAC decreases as the initial pesticides concentration increases, while the equilibrium adsorption efficiency for CAC increases slightly with increasing pesticides concentration up to 100 µg/L for aldrin and dieldrin and up to 50 µg/L for DDT. Then the adsorption efficiency decreases as initial pesticides concentration increases. This change likely reflects a reduction of the ratio of available adsorption sites on the adsorbent and pesticide molecules in solution as pesticide concentration increases. A percentage pesticide removal of 97.85% for aldrin, 91.67% for dieldrin and 97.41% for DDT was found for an initial concentration of 10 µg/L on AEAC, and of 99.92% for aldrin, 99.81% for dieldrin for an initial concentration of 100 µg/L, and 99.80% for DDT for an initial concentration of 50 µg/L on CAC.
4.4. Adsorption Isotherms
The Langmuir and Freundlich isotherm parameters for adsorption of organochlorine pesticides (Aldrin, Dieldrin and DDT) on AEAC and CAC are given in Table 2. The linear isotherms of Langmuir and Freundlich models are also presented in Figure 4 and Figure 5, respectively. Comparison of the R2 values shows that the Freundlich isotherm fits well with the experimental data obtained from both adsorbents (AEAC and CAC). The Freundlich equation had correlation coefficients (R2) above 0.98 for the AEAC and above 0.91 for the CAC,
Effect of adsorbent dose on the removal of aldrin, dieldrin and DDT onto AEAC and CAC (temperature: 25˚C, initial concentration 250 µg/L; pH 7 and time = 2 h)
Effect of initial pesticides concentration for adsorption of aldrin, dieldrin and DDT onto AEAC and CAC (the initial pesticides concentration = 10 to 250 µg/L, temperature 25˚C and time = 2 h)
with a high correlation coefficient for the locally prepared activated carbon. This result suggests the formation of multilayer coverage of the organochlorine pesticides (aldrin, dieldrin and DDT) at the surface of the two activated carbons, which is attributed to the heterogeneous active sites on the surface of AEAC and CAC.
Langmuir adsorption isotherm for organochlorine pesticides (Aldrin, Dieldrin and DDT) onto AEAC and CAC adsorbents (pH 7; Contact time 2 h; temperature 25˚C, rpm 180)
Langmuir and Freundlich isotherm parameters for the adsorption of aldrin, dieldrin and DDT from aqueous solutions to AEAC and CAC
Adsorbent
AEAC
CAC
OPCs
Langmuir model
Freundlich model
Langmuir model
Freundlich model
Qo (µg/g)
b (L/µg)
R2
KF
n
R2
Qo (µg/g)
b (L/µg)
R2
KF
n
R2
Aldrin
−0.395
−0.005
0.671
1.81 × 10−4
0.545
0.986
−0.036
−0.003
0.534
3.66 × 10−5
0.744
0.917
Dieldrin
−3.71
−0.003
0.423
4.57 × 10−3
0.785
0.987
−0.105
−0.002
0.634
1.36 × 10−4
0.874
0.966
DDT
−0.489
−0.005
0.535
1.99 × 10−4
0.518
0.981
−0.002
−0.002
0.765
1.25 × 10−4
0.823
0.975
Freundlich adsorption isotherm for organochlorine pesticides (Aldrin, Dieldrin and DDT) onto AEAC and CAC adsorbents (pH 7; Contact time 2 h; temperature 25˚C, rpm 180)
The value of KF determines the adsorption capacity of adsorbent at equilibrium concentration in a solution [65] and higher KF values correspond to a higher adsorption capacity. According to the KF values (Table 2), the adsorption capacities of the pesticides studied are higher for dieldrin and DDT than for aldrin in both AEAC and CAC adsorbents. Adsorption of pesticides depends on their physico-chemical properties [23] , and a more hydrophobic compound has a higher adsorption capacity and thus higher removal efficiency [23] . Similarly, substances with high molar mass have a tendency to be adsorbed more strongly than chemical compounds with low molar mass [65] . Our results are partly in line with these predictions: dieldrin, which has a higher molar mass, adsorbs more than aldrin and DDT, with a lower molar mass. The high adsorption capacity of DDT compared to aldrin might be due to the higher log KOW [23] . The KF value also confirms that the AEAC has a higher adsorption capacity than the CAC for the studied pesticides.
The slope (1/n) for Freundlich’s model, which is used for assessing the adsorption intensity of a given substance from water phase adsorbent [65] , was greater than 1; this indicates that saturation was not attained. The negative values of the Langmuir isotherm constants indicate the inadequacy of the isotherm model to explain the adsorption process [62] [66] . The adsorption characteristics of the locally prepared AEAC are comparable with the CAC, but the adsorption performance was much better.
4.5. Adsorption of Pesticides In columns Filtration
For the purposes of the removal of trace levels of organic pollutants from drinking water, the main concern is whether or not a treatment process can efficiently and economically remove the organochlorine pesticides to acceptable levels from water. Rapid small-scale column testing is an inexpensive, accelerated testing method that can be used to determine the adsorptive characteristics for large-scale adsorption using small column studies. The advantage of such rapid small-scale testing over pilot testing is the time savings [67] . Other major advantages are cost savings, reduced water requirements, and the fact that extensive isotherm and kinetic studies are not necessary. Therefore, the results of such small-scale testing can be scaled up to aid in the design of a medium-scale water treatment plants at each household communities.
Flushing distilled water through the column results in removal of the turbidity from AEAC. During flushing 0.2 L was found to be sufficient for AEAC to reduce turbidity to less than 5 NTU, which is in the range of international standards assumed acceptable [68] . Fixed doses of 20 µg/L of pesticides spiked in 25 ml of water were used in experiments with different doses of AEAC. These doses varied from 3 to 11 g. The findings also showed that the percentage of pesticide adsorbed increased as the amount of AEAC in the column increased. Seven grams of AEAC was sufficient to remove greater than 92% of aldrin and dieldrin, and greater than 85% of DDT, which is comparable with the batch experiments mentioned above.
4.6. Breakthrough of Pesticides in Column Filtration with AEAC
Breakthrough of the three pesticides studied for a column was observed after filtering 2.5 L of water; the first pesticides to appear in the filtered water were aldrin and DDT. This means that roughly 1 kg of ACAC is needed to filter 10 L of contaminated water, corresponding small slices of the widely available A. etbaica wood. Although care should be taken about the adsorption capacity for other pesticides (and, potentially, other micropollutants) that may occur in surface waters, the method is postulated to be feasible and safe for production of potable water from sources contaminated with pesticides.
4.7. Cost Comparison
A distinct advantage of using AEAC as adsorbent is that it is cheaper than CAC available in Ethiopia which costs 373000.00 Ethiopian Birr/ton or US$ 20687.74/ton. The AEAC costs 3000.00 Ethiopian Birr/ton or US$ 166.39/ton, and is available at the local markets, so that extra costs for labor and transport are avoided. Another advantage is that this material can be locally made even in remote communities, at low cost as the materials do not have to be imported and local markets and production are stimulated.
The total cost of activated carbon adsorption also includes construction costs of the water purification unit, and regeneration of activated carbon. The former costs are similar for both types of activated carbon, whereas the regeneration costs depend on the runtime of an adsorption column when operated in continuous mode. Although this aspect was beyond the scope of the work presented here, it can be expected that regeneration costs are similar for the two types of activated carbon, given the fact that they have been shown to have a comparable performance in batch experiments. Therefore, the difference in cost is mainly related to the difference in cost of the activated carbon.
5. Conclusion
This study investigates the adsorption of organochlorine pesticides: aldrin, dieldrin and DDT onto AEAC and CAC. The extent of pesticide removal increased with decreasing initial concentration of pesticides and increased with increasing adsorbent mass. The adsorptions of pesticides on the studied adsorbents (AEAC and CAC) were influenced by the physico-chemical properties of pesticides and adsorbents such as molecular weight, log Kow, and hydrophobic characteristics of pesticides; and surface morphology of the adsorbents. The equilibrium data in this study were fitted with the Freundlich isotherm model. Our results indicate that the AEAC used in this investigation, which is freely, abundantly and locally available, could be used as an efficient and alternative adsorbent in water treatments. Finally, a cost comparison of AEAC and CAC leads to the conclusion that AEAC is a more effective and low-cost adsorbent that can be used for the removal of the studied pesticides and likely other impurities from water. The AEAC can also be produced and used by communities living in remote areas.
Acknowledgements
This study was financially supported by the Vlaamse Interuniversitaire Raad-University Development Cooperation (VLIR-UOS), Belgium in collaboration with Mekelle University, Ethiopia. The authors thank Mrs. Christine Wouters, Mrs. Michele Vanroelen and Mrs. Ruixin Zhang for their kind support in pesticide, metal and surface physical morphology (SEM) analysis.
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