A M Ahmed1, Mohamed I Ayad2, Mohamed A Eledkawy2, M A Darweesh3, Essam M Elmelegy4. 1. Alexandria University, Faculty of Science, Alexandria, Egypt. 2. El-monofia University, Faculty of Science, Egypt. 3. Tanta University, Faculty of Engineering, Egypt. 4. National Food Safety, Authority, Egypt.
Abstract
Removal of high concentrations of toxic heavy metals from wastewater is very important within the environmental field because heavy metals pollution a serious environmental problem due to them being nonbiodegradable. This study shed some light on the use of Nano bentonite as an adsorbent for the elimination of Iron, Zinc, and Nickel ions from wastewater, and the optimum conditions were evaluated to find out thermodynamic and kinetic parameters and equilibrium adsorption models have been applied. The results showed that adsorption percentage increases with increasing temperature, speed of rotation, and volume of solution, but decreases with adsorbent dose and initial concentration increase. The adsorption process has fit pseudo-second-order kinetic model Langmuir and Freundlich adsorption isotherm models were applied to analyze adsorption data and both were found to apply to these adsorption processes. Thermodynamic parameters e.g., ΔGo, ΔSo, and ΔHo of the adsorption process were found to be endothermic. Finally, the Nano bentonite was observed to be more powerful for the removal of Fe (III), Zn (II), and Ni (II) at the same experimental conditions.
Removal of high concentrations of toxic heavy metals from wastewater is very important within the environmental field because heavy metals pollution a serious environmental problem due to them being nonbiodegradable. This study shed some light on the use of Nano bentonite as an adsorbent for the elimination of Iron, Zinc, and Nickel ions from wastewater, and the optimum conditions were evaluated to find out thermodynamic and kinetic parameters and equilibrium adsorption models have been applied. The results showed that adsorption percentage increases with increasing temperature, speed of rotation, and volume of solution, but decreases with adsorbent dose and initialconcentration increase. The adsorption process has fit pseudo-second-order kinetic model Langmuir and Freundlich adsorption isotherm models were applied to analyze adsorption data and both were found to apply to these adsorption processes. Thermodynamic parameters e.g., ΔGo, ΔSo, and ΔHo of the adsorption process were found to be endothermic. Finally, the Nano bentonite was observed to be more powerful for the removal of Fe (III), Zn (II), and Ni (II) at the same experimentalconditions.
At the outset, we have to talk about a research and innovation project funded by the Horizon2020 programmer of the European Union and coordinated by the University of Bologna. Its full title is (Development and application of integrated technological and management solutions for wastewater treatment and effective reuse in agriculture tailored to the needs of the Mediterranean countries), this research project was introduced by MADFORWATER [1]. The new technologies developed, that would be adapted to the social and technicalcontext would be able to produce irrigation-quality water from municipal and industrial wastewaters, as that from drainage canals. The MADFORWATER aims to develop wastewater treatment and reuse, improving agricultural production as well as decreasing exploitation of water reserves and water pollution [2]. Adsorption, as the widely used method plays a vital role in wastewater treatment, which is based on the physical interaction between metal ions and sorbents [3]. With the development of nanotechnology, several researchers have proved that nanomaterials are effective sorbents for the removal of heavy metal ions from wastewater due to their unique structure [4]. Nano Bentonite can be used as an alternative adsorbent because the cost is cheap and abundant in nature and so because the main constituents of Nano bentonite are montmorillonite mineral has a 3-layered structure with a 2: 1 configuration consisting of 2 layers of tetrahedralsilica and 1 octahedral layer as a central, the existence of isomorphic substitution in the basic structure causes the formation of negative charges on its surface, this part called the active site which can be used as an adsorbent to bind cations and organic and metalliccompounds through electrostatic bonds [5]. The aim of this work is studying the elimination of zinc(II), nickel(II), and iron(III) from wastewater using Nano bentonite as the adsorbent material and make an application of this on some collector samples from the wastewater of electrical power station in Damanhur and wastewater sample collected from one of the major metalcoating workshops in Almeria, Alexandria, Egypt. Much work has been done on the removal of zinc, nickel, and iron by different adsorbents such as Nano bentonite is used as an adsorbent [6]. Table 1 shows the maximum % removal of heavy metals with different adsorbents.
Table 1
The impact of the use of exceptional adsorbent on the % removal.
Adsorbent
% Removal
Clays [20, 21, 22, 23, 24]
44
Minerals such as goethite [25]
46
Hydroxyapatite [26]
52
Calcite [27, 28, 29, 30]
55
Calcareous soils [31, 32]
45
Sludges [33]
46
Modifedasphaltite ashes [34]
48
Bark, fly ash [35]
54%
Chitosan, dead biomass, modified wool, moss, Peat
~ 56
sea-weed, zeolite, humic acid [36]
60
Sesquioxides (iron, aluminum, or manganese oxides)
60
Hydroxyapatite [24]
62
Nano bentonite [21]
74
Bone char
76
Activated dolomite
80
The impact of the use of exceptionaladsorbent on the % removal.
Experimental
Materials and reagents
All chemicals used in the study are all analytical grade. Demineralized water used in all preparations, anhydrous ferric sulfate, Zinc sulfate, and Nickel sulfate was used to prepare synthetic Fe3+, Zn2+, and Ni2+, nano bentonite is used as an adsorbent.
Preparation of nano-bentonite
Bentonite powder about 20 g was dissolved in 100 ml HCl (12M) then heated in a magnetic stirrer at around 343K for 120 min at a speed of 350 rpm. Wash the solution with distilled water repeatedly until the pH is neutral. Oven solution for 5 h with a temperature of 373K. After drying, crushed with mortar to produce a powder. Bentonite powder is calcined in the furnace at 873K. Powder bentonite at a ball mill with a speed of 100 rpm for 30 min and then sieved [7].
Apparatus and instrumentation
A definite volume of metal ion stock solution of (Iron, Zinc, and Nickel) with a known initialconcentration is stirred with a definite amount of adsorbent (Nano bentonite) for the stipulated time in digital magnetic stirrer MS-H-Pro with temperature sensor PT 1000 using a Teflon magnetic stirrer bar of 2 cm length. Samples (0.5 ml) diluted to 5 ml by demineralized water and used atomic absorption spectrophotometer model PerkinElmer (PinAAcle 900T) was used to analyze concentrations of the dissolved (Iron, Zinc, and Nickel). pH-Meter GLP 21 Crison instruments were used to adjust the pH of solutions.
Experimental procedures
These experiments were performed by stirring (Nano bentonite) with 200 ml of a dehydrated Ferric Sulfate [Fe2(SO4)3], a dehydrated Zinc Sulfate [ZnSO4], and a dehydrated Nickel Sulfate [NiSO4] solutions. Different pH values of the solution ranged from 3-7 were studied. pH was adjusted by using 0.1M of HCL and NaOH. Experiments were carried out at different variables of temperature from 298-323 K, stirring speeds of 100, 200, 300,400, and 500 rpm, Different initialconcentration of Ni2+, Zn2+ and Fe3+ ions from 50 – 250 mg/l, different volumes from 100 - 350 ml of Ni2+, Zn2+ and Fe3+ ions solutions and also (Nano bentonite dosage of 0.01, 0.03, 0.05, 0.1 and 0.3 g/200ml) of the solutions were studied. The samples were taken at regular periods 5, 10, 20, 40, 60, 80, and 120 min. Then they were analyzed using atomic absorption spectrophotometer [8].
Analysis method
The adsorption process of metal ions impacts through many variables (pH, initialconcentration, adsorbent dose, contact time, speed of rotation) on the removal of metals, and the effect of different temperatures. The efficiency of the adsorption process can be calculated from the change in % removal value with time; the change in % removal with time was decided from this equation;Also, the amount of metallic adsorbed (qt) was acquired from the variations between metal quantity adsorbed by the adsorbent and metalliccontent of the wastewater sample by the equation;The amount of adsorbate taken up by the adsorbent per unit mass of the adsorbent (qe) at a fixed temperature at equilibrium called (adsorption capacity) calculated by the equation;where Co (mg/l) is the preliminary metal ions concentration in solution, Ce (mg/l) is the equilibrium concentration of metal ions within the solution. Ct (mg/l) is the concentration of metallic ions in the solution after the time (t). m is the mass of nano bentonite used (g), and V is the volume of the solution (ml) [9].
Results and discussion
The surface area measurement was carried out by the BET method using the Nova 2000 (quanta chrome) instrument obtained Specific surface area of adsorbent nano bentonite is 119 m2g-1(dry). The crystalline phases in the nano bentonite were characterized with X-ray diffraction (XRD, Philips PW 1750) which indicates the chemicalcomposition of different oxides present in the nano bentonite as shown in Table 2.
Table 2
The chemical composition of nano-bentonite.
Oxides present in Nano-bentonite
(wt.%)
SiO2
46
SO3
23.8
CaO
10.6
Fe2O3
7.3
AlO2
6.4
K2O2
5.5
Ti O2
0.4
The chemicalcomposition of nano-bentonite.
FTIR spectra
FTIR measurements were carried out to demonstrate the chemical nature of the nano bentonite and to identify the possible interaction between Fe3+, Zn2+ and Ni2+, and Nano bentonite [10]. The FT-IR spectra of Nano bentonite are shown in Figure 1. The IR absorption bands obtained at 3632–3447 cm−1 are ascribed to O–H stretching vibration. The sharp absorption peak at 1044cm−1 corresponds to the stretching vibration of the Si–O bond. The peaks at 466–624 cm−1 are due to a (Si–O) bending vibration, and the peak at 796 cm−1 may correspond to the stretching vibration of Al–O–Si. The OH bending bands appear at 916 cm−1 [11, 12]. After the adsorbent (Nano Bentonite) was loaded with Fe3+, Zn2+and Ni2+ ions, it was located that there is a difference in the intensity or the places of the absorbance peaks and major change within the FTIR spectra after adsorption of Fe3+, Zn2+and Ni2+ ions had been quite similar, this indicated the mechanism for the adsorption of both were the same [13].
Figure 1
FTIR spectrum for nano-bentonite.
FTIR spectrum for nano-bentonite.
Effect of contact time
The effect of contact time was studied, while all other variables such as adsorbent dosage, pH, and initialconcentration, the volume of solution, temperature, and rotation speed are kept constant. This method is known as optimization which is based on one factor at a time where one parameter is varied, and the others are kept constant. Figure 2 shows the effect of contact time on % removal that were studied on 0.1 g/200ml of Nano bentonite for initialconcentration 50 ppm for Fe3+, Zn 2+ and Ni2+ values with time and reaches a maximum at 120 min, t this indicates that the concentration of Iron, Zinc, and Nickel within the solution decreased rapidly in the first 30 min, and the removal was mainly completed in 120 min. The elimination of metal ions may be derived into changes wherein the removal rate is very high. It is essential to determine the equilibrium time, that is, the contact time characterized by unchanging Fe3+, Zn 2+, and Ni2+concentration in the solution was done after a half-hour. For all used different concentrations of solutions; this period is denoted as the second level of the Adsorption. The rate of adsorption of metals at the beginning is high due to the high number of available active adsorbing sites on the adsorbent surface that is the large uncovered surface area of Nano bentonite [14]. Also, the solid/liquid interface has the highest rate at the beginning of the process, which resulted in fast absorption. Lower slopes of the curves affirm that the second level was a bit lower because of the decrease diffusion speed of metal ions in the pores of the Nano bentonite structure. It may be located that the satisfactory adsorption efficiency was completed in the case of the preliminary solution with the lowest metal ions concentration (50 ppm) [15].
Figure 2
Effect of contact time on the %removal of (Fe(III) at pH = 7) and (Zn(II), Ni(II) at pH = 6), a dose of nano-bentonite 0.1g/200ml solution, 300 rpm, 298 K and 50 ppm at contact time 120 min.
Effect of contact time on the %removal of (Fe(III) at pH = 7) and (Zn(II), Ni(II) at pH = 6), a dose of nano-bentonite 0.1g/200ml solution, 300 rpm, 298 K and 50 ppm at contact time 120 min.
The adsorbent dose effect
Studying the effect of different doses on the elimination percentage of Fe3+, Zn2+, and Ni2+ ions show that as adsorption percentage decrease with increasing dose of Nano sorbents as we can show a Figure 3, adsorption decreased from (97.9–87.7 %), (98.9–89.7%) and (98.9–87.8%) with an increase in (Nano bentonite) from (0.01–0.3 g/200 ml) for Fe3+, Zn2+, and Ni2+ respectively after 120 min [16], this due to increasing the dose of the nano compounds the granules aggregate which leads to decreasing the total surface area and the number of adsorptive sites decreases with increasing the weight of adsorbent (Nano bentonite) which decreases available exchangeable sites which enhance percent of metal ions removal [17]. and, However, with increasing dose of adsorbent the sorption capacity (qe) decrease, indicating the adsorption sites remain unsaturated (It may be due to the following: overlapping of active sites at higher nano-bentonite dosage causing a decrease in the effective surface area resulting in the conglomeration of exchanger particles) [18].
Figure 3
Effect of adsorbent dose (Nanobentonite) on %Removal, initial concentration [Fe3+], [Zn2+]and [Ni2+] = 100 mg/l (V = 200 ml), 300 rpm and T = 298k.
Effect of adsorbent dose (Nanobentonite) on %Removal, initialconcentration [Fe3+], [Zn2+]and [Ni2+] = 100 mg/l (V = 200 ml), 300 rpm and T = 298k.
The initial concentration of Fe3+, Zn2+, and Ni2+effect on adsorption
This study shows the effect of the varying initialconcentration of Iron(III), zinc(II), and Nickel(II) solution from 50 to250ppm on the nano bentonite surface with other fixed parameters the results showed that the adsorption percentage of Fe3+, Zn2+, and Ni2+ ions decreases with an increase of the initialconcentration. Presented in Figure 4. At the beginning of the adsorption process of metal ions from an aqueous solution, the surface of the adsorbent is free of metal ions and there are a lot of active exchangeable sites. Therefore large amounts of Fe3+, Zn2+, and Ni2+ ions species move across from the solution to the nano bentonite surface. The adsorption capacity depends on the concentration of metal ions [19]. This decrease in ions removal percentage could be due to a lack of sufficient active sites on Nano bentonite to adsorbed more metal ions available in the solution. So, the percentage of removal depended upon the initialmetal ions concentration, and this supports the assumption of the formation of monolayer metal ions on the outer surface of Nano bentonite [20].
Figure 4
Initial concentration effect on %Removal at constant dose 0.1g of Nano bentonite/200ml solution, 300 rpm,T = 298K and at 120min. for Fe3+ at pH = 7 and Zn2+, and Ni2+ at pH = 6.
Initialconcentration effect on %Removal at constant dose 0.1g of Nano bentonite/200ml solution, 300 rpm,T = 298K and at 120min. for Fe3+ at pH = 7 and Zn2+, and Ni2+ at pH = 6.
Kinetics of adsorption
The Kinetics study for the adsorption of Fe3+, Zn2+ and Ni2+ was completed after 120min for the concentrations (50,100,150,200 and 250 mg/l) of Fe3+, Zn2+, and Ni2+ ions onto (0.1g/200 ml) doses of adsorbent (Nano bentonite) at 298K.Two kinetic models were considered to investigate the mechanism of zinc (II), nickel (II), and iron (III) adsorption onto nano bentonite, as follows:The pseudo-first-order reaction expression of Lagergren on solid capacity is generally expressed as follows:The pseudo-second-order model is generally expressed as follows:where qt and qe are the amounts of Fe3+, Zn2+ and Ni2+metal ions adsorbed according to unit mass of adsorbent (mg/g) at time t and equilibrium, respectively, and k1 and k2 are the adsorption rate constant, the applicability of these two models may be examined via each linear plot of In(qe-qt)vs. t for 1st order as shown in (Figure 5 a,b,c) and (t/qt)vs. t for 2nd order as shown in (Figure 6 a,b,c). To quantify the applicability of each model, the correlation coefficient, R2, was calculated from these plots. The linearity of these plots indicates the applicability of the two models. However, the correlation, R2, showed that the pseudo-second-order model, fits better the experimental data than the pseudo-first-order model, the kinetic parameters calculated are shown in Table 3. The values are near to (qe exp) values at different initialconcentrations, for the pseudo-second-order kinetics model, the constant rate lower with the growth of initialIron (III), zinc (II), and nickel (II)concentration [21]. The experimentally determined capacities signifying the ability of the model to predict the experimental data. It can also be seen inside, with an increase in preliminary metallicconcentration, the adsorption rate constant k2 decreases. Near observation was also suggested by the earlier researchers this is due to the lower competition for the sorption surface sites at lower concentrations [22]. At excessive concentrations, the competition for the surface active sites will be high, and consequently, the rate of sorption lowered is obtained [23].
Figure 5
Pseudo-1st-order kinetic (a) Fe3+, (b) Zn2+ and (c) Ni2+ fit for adsorption onto Nano bentonite, 0.1 g/200ml adsorbent dose, 300 rpm and 298k at different initial concentrations.
Figure 6
Pseudo-2nd order kinetic (a) Fe3+, (b) Zn2+ and (c) Ni2+ fit for adsorption onto Nano bentonite, 0.1 g/200ml adsorbent dose, 300 rpm and 298k at different initial concentrations.
Table 3
Adsorption rate constants, qe estimated, and correlation coefficient associated with the Lagergren pseudo-1st and 2nd-order adsorption for the Nano bentonite with iron, zinc, and nickel ions.
1st-order model
2nd-order model
Metal ion nano Bentonite
C0 (mg/L)
qeexp (mg/g)
qecal (mg/g)
103k1 (min−1)
R2
103K2 (gmg−1min−1)
qecal (mg/g)
R2
(a) Fe3+
50
96
86.9
34.3
0.97
0. 525
108.6
0.99
100
180
238.3
39.2
0.90
0.096
243.9
0.93
150
262
416.7
41.1
0.83
0.076
333.3
0.96
200
346
560.6
42.7
0.82
0. 063
434.7
0.98
250
426
660.7
44.3
0.84
0.060
526.3
0.99
(b) Zn2+
50
90
89.4
31.6
0.88
0.54
98.0
0.97
100
184
224.7
36.7
0.83
0.22
204.0
0.96
150
260
360.2
39.1
0.80
0.13
294.1
0.96
200
348
544.0
41.4
0.78
0.08
400.0
0.96
250
412
695.5
42.6
0.76
0.06
476.1
0.95
(c) Ni2+
50
94
91.6
32.0
0.89
0.53
103.0
0.98
100
182
283.0
38.0
0.83
0.09
232.5
0.95
150
254
448.0
40.0
0.80
0.05
344.8
0.94
200
338
656.3
42.0
0.79
0.02
500.0
0.93
250
404
836.2
43.9
0.77
0.01
666.6
0.93
Pseudo-1st-order kinetic (a) Fe3+, (b) Zn2+ and (c) Ni2+ fit for adsorption onto Nano bentonite, 0.1 g/200ml adsorbent dose, 300 rpm and 298k at different initialconcentrations.Pseudo-2nd order kinetic (a) Fe3+, (b) Zn2+ and (c) Ni2+ fit for adsorption onto Nano bentonite, 0.1 g/200ml adsorbent dose, 300 rpm and 298k at different initialconcentrations.Adsorption rate constants, qe estimated, and correlation coefficient associated with the Lagergren pseudo-1st and 2nd-order adsorption for the Nano bentonite with iron, zinc, and nickel ions.
Effect of speed of rotation on the solution of iron, zinc, and nickel ion
Experimental results for the effect of speed of rotation (100, 200, 300,400, and 500 rpm) are presented in Figure 7 The removal of Fe3+, Zn2+, and Ni2+.reaches 96.9 %, 98.9%, and 97.9% respectively, using Nano bentonite at 500 rpm, it is clear that speed of rotation enhances metal removal from aqueous solutions. This is because metal ions, meet resistance at the liquid phase, through their transportation to the solid phase, through the boundary layer, and with increasing the speed of rotation the degree of aggregation of nano compounds adsorbent decrease which led to increasing the totaladsorbent surface area and increasing the removal percentage of heavy metals. Therefore, rotation leads to a decrease of the boundary layer and a decrease in the resistance of transportation of metal ions, this increases the transfer rate of the ions in solution [24].
Figure 7
Speed of rotation effect on the %Removal of Fe3+,Zn2+ and Ni2+ on to Nano bentonite at constant pH, 0.1g/200 ml, C0 = 100 mg/l, 298 K at time 120 min.
Speed of rotation effect on the %Removal of Fe3+,Zn2+ and Ni2+ on to Nano bentonite at constant pH, 0.1g/200 ml, C0 = 100 mg/l, 298 K at time 120 min.
Effect of volume
Figure 8 shows that the relationship between the different volume of solution on the rate of adsorption, by increasing Fe3+, Zn2+ and Ni2+ solution volume from 100 to 350 ml, Removal percentage increase so the relation between the quantity of adsorbed according to gram of adsorbent (qt) and volume of solution. It is clear that (qt) increases with increasing volume from 100 to 350 ml with Nano bentonite, that means at equilibrium (qe) increasing with volume increase at constant other parameters as shown in Figure 9 and this will be explained on the basis that there is an abundance of active sites on the surface of the adsorbent [25] that could adsorb more Fe3+, Zn2+, and Ni2+ by increasing its solution volume with Nano bentonite. Also maybe because the presence of nano compounds within the aqueous solution led to the aggregation of their particles and consequently decreasing the total surface area of the adsorbent.
Figure 8
Effect of different volume of solution on %Removal of Fe3+,Zn2+ and Ni2+ on to Nano bentonite at constant pH, 0.1g/300 rpm, C0 = 100 mg/l, 298 K at time 120 min.
Figure 9
Effect of different volume of solution on the amount of metallic adsorbed (qe) of Fe3+,Zn2+ and Ni2+ on to Nano bentonite at constant pH,0.1g/300rpm, Co 100 mg/l, 298 K at time 120 min.
Effect of different volume of solution on %Removal of Fe3+,Zn2+ and Ni2+ on to Nano bentonite at constant pH, 0.1g/300 rpm, C0 = 100 mg/l, 298 K at time 120 min.Effect of different volume of solution on the amount of metallic adsorbed (qe) of Fe3+,Zn2+ and Ni2+ on to Nano bentonite at constant pH,0.1g/300rpm, Co 100 mg/l, 298 K at time 120 min.
Effect of pH
The influence of pH on the adsorption of Fe(III), Zn(II), and Ni(II) onto nano bentonite Examined at different values of pH 3,4,5,6 and 7 the other controlled parameters was kept at contact time 120 min to reach the complete equilibrium. The results show that adsorption percentage increased with increasing pH in the acid medium for Zn(II)and Ni(II) and give the highest value in pH = 6 then decrease due to the repulsion between adsorbent and Zn2+ and Ni2+, this improving the adsorption capacity [26], and give the high adsorption in pH = 6 and (% Removal = 93.8 and 92.8) with Nano bentonite for Zn2+ and Ni2+ respectively. but For Iron The graph shows that the adsorption of on (Nano bentonite) surface increases in acid solution and arrive at pH = 7 give (% Removal = 91.9 %) and still increase that means that Fe(III) give high adsorption at alkaline media pH > 7 [27]. as shown in Figure 10.
Figure 10
Effect of pH on the % removal of metal ions Fe3+, Zn2+ and Ni2+ (Co = 100 mg/l, 300 rpm, T = 298K, 0.1g/200ml Nano bentonite).
Effect of pH on the % removal of metal ions Fe3+, Zn2+ and Ni2+ (Co = 100 mg/l, 300 rpm, T = 298K, 0.1g/200ml Nano bentonite).
Effect of temperature
The temperature of the solution has a significant effect on the adsorption capacity of the adsorbent. The adsorption experiments were conducted at different temperatures of 298K, 303K, 308K, 323K, and 323K. at a constant initialconcentration of 100 mg/l, 300 rpm, and 0.1 g/200ml of Nano bentonite for Fe3+ pH values >7, and for Zn2+, and Ni2+ optimum pH 6, results show that the percentage of adsorption of Fe3+, Zn2+, and Ni2+ increases with increase in the temperature and give the highest value of adsorption at 323K, in the presence of Nano bentonite, as shown, Figure 11 %Removal increases from (91.8–96.9 %), (93.8–98.9 %) and (92.8–98.9 %) for Fe3+, Zn2+, and Ni2+ respectively. An increase in temperature involves increasing the mobility of metal ions and decreasing in the retarding forces acting on the diffusing ions; these result in the enhancement in the sportive capacity of the adsorbent, increasing the chemical interaction between adsorbate -adsorbent, and creation of active surface centers or by an enhanced rate of intra-particle diffusion of Fe3+, Zn2+, and Ni2+ ions into the pores of the adsorbent at higher [28].
Figure 11
Contact time effect on the %Removal of Fe3+, Zn2+ and Ni2+ onto Nano bentonite at constant pH, 0.1g/200 ml, C0 = 100 mg/l, 300 rpm at time 120 min and different temperatures.
Contact time effect on the %Removal of Fe3+, Zn2+ and Ni2+ onto Nano bentonite at constant pH, 0.1g/200 ml, C0 = 100 mg/l, 300 rpm at time 120 min and different temperatures.
The thermodynamic parameters
The adsorption equilibrium data obtained at different temperatures were used to calculate the important thermodynamic parameters such as (Gibbs free energy (ΔGo), enthalpy change (ΔHo), and entropy change (ΔSo)) [29]. These parameters can be evaluated from the following equations:where, (l.g-1) and the equilibrium constant of adsorption calculated for each temperature from the equation:where qe and ce are the equilibrium concentrations for solute on the sorbent and in the solution, respectively. R (J/mol.K) is the gas constant 8.314 (J.mol−1.K−1), T (K) is the temperature absolute (Kelvin), the Ke (l.g−1) values are used in Equations (6) and (7) to determine (ΔGo), (ΔHo), and (ΔSo) by the equation:we can calculate the value of lnKe by the equation:From equation [9] we can be calculated ΔHo and ΔSo values from the slope and intercept of Van't Hoff's plot of ln (Ke) versus 1/T these parameters as shown in Figure 12 for Fe3+, Zn2+, and Ni2+ adsorption on Nano bentonite and the values of (qe, ce, Ke and ΔHo, ΔSo, ΔGo) were recorded in a Tables 4 and 5. The negative values of ΔGo confirm the feasibility of the process and the spontaneous nature of the adsorption of Fe3+, Zn2+, and Ni2+ adsorption on Nano bentonite. On the other hand, the more negative value with the increase in temperature indicates that better adsorption is obtained at higher temperatures. The positive values of ΔSo showed the increased randomness at solid/solution interfaces during the adsorption of metal ions onto adsorbent and also reflected the affinity of nano bentonite toward Fe3+, Zn2+, and Ni2+ ions under consideration, the positive value of enthalpy (ΔH°) indicated that the process had endothermic nature [30].
Figure 12
Relationship between ln Ke and reciprocal of temperature for Fe3+, Zn2+ and Ni2+ adsorption on Nano bentonite, at optimum pH, Co of 100 mg l−1, dose 0.1g/200ml and 300 rpm.
Table 4
The variation of (ln ke) with a different temperature for solutions of (Zn2+and Ni2+ at pH 6 and Fe3+ at pH 7) adsorption on Nano bentonite (0.1g/200ml,300rpm) at equilibrium.
Nano bentonite
T (K)
298 K
303 K
308 K
313 K
323K
1000/T
3.35
3.30
3.24
3.19
3.09
Fe3+
qe
180
182
184
186
190
Ce
8
7
6
5
3
Ke
22.5
26.0
30.6
37.2
63.3
InKe
3.1
3.2
3.4
3.6
4.1
Zn2+
qe
184
186
188
190
192
Ce
6
5
4
3
2
Ke
30.6
37.2
47.0
63.3
96.0
InKe
3.4
3.6
3.8
4.1
4.5
Ni2+
qe
182
184
188
192
194
Ce
7
6
4
2
1
Ke
26.0
30.6
47.0
96.0
194.0
InKe
3.2
3.4
3.8
4.5
5.2
Table 5
Thermodynamic parameters of Fe3+, Zn2+, and Ni2+ onto Nano bentonite at initial concentration of 100 mg/l.
Nano bentoniteadsorbent
ΔHo (K.jmol−1)
ΔSo (Jmol−1K−1)
ΔGo (KJ.mol−1)
298K
303K
308K
313K
323K
Fe3+
32.93
135.8
-7705.42
-8052.1
-8473.29
-8944.03
-10257
Zn2+
37.4
153.8
-841.44
-9110
-9859.1
-10795.2
-12257.2
Ni2+
68.7
256.3
-8072.17
-8623.7
-9859.12
-11877.7
-14146.4
Relationship between ln Ke and reciprocal of temperature for Fe3+, Zn2+ and Ni2+ adsorption on Nano bentonite, at optimum pH, Co of 100 mg l−1, dose 0.1g/200ml and 300 rpm.The variation of (ln ke) with a different temperature for solutions of (Zn2+and Ni2+ at pH 6 and Fe3+ at pH 7) adsorption on Nano bentonite (0.1g/200ml,300rpm) at equilibrium.Thermodynamic parameters of Fe3+, Zn2+, and Ni2+ onto Nano bentonite at initialconcentration of 100 mg/l.
Sorption isotherms
The equilibrium adsorption isotherms are one of the promising data to understand the mechanism of the adsorption. Various isotherm equations are well known and two different isotherms are selected in this study, which is the Langmuir and Freundlich isotherms [31].
Model of Langmuir isotherm
Langmuir isothermal is primarily based at the monolayer sorption of Fe3+, Zn2+, and Ni2+at surface of the adsorbent and is presented by:where, qe is the amount of metal ion at the adsorbent at equilibrium (mg/g), Ce the concentration of metal ion inside the solution at equilibrium, qmax the saturation capacity of monolayer adsorption at the adsorbent and (b) is the linear Langmuir constant [32]. By drawing relation of Ce/qe Vs. Ce. as shown in (Figure 13 a,b,c) for Fe3+, Zn2+, and Ni2+ we can be calculated the values of (qmax) and (b) from the slope and intercept of the plots, respectively. R2 values for metal ions detect the good application of the Langmuir model to these adsorptions, separation factor dimensionless constant (RL) which is defined as:
Figure 13
The linear Langmuir adsorption isotherm for (a) Fe3+, (b) Zn2+and (c)Ni2+ with nano bentonite at constant pH, 300 rpm,298K,0.1g/200ml and different initial concentration.
The linear Langmuir adsorption isotherm for (a) Fe3+, (b) Zn2+and (c)Ni2+ with nano bentonite at constant pH, 300 rpm,298K,0.1g/200ml and different initialconcentration.where Co is the initialmetal ion concentration. The values of RL indicate the kind of isotherm is favorable, due to (0 < RL< 1) for all ions in the case of nano bentonite [33].
Model of Freundlich isotherm
The Freundlich isotherm is an empirical equation employed to describe heterogeneous systems [34]. The linearized form of the Freundlich isotherm equation is:where the Freundlich constants KF and n, which respectively indicating the adsorption capacity and the adsorption intensity, were calculated from the intercept and slope of the plot of log qe versus log Ce for the adsorption of Fe3+, Zn2+, and Ni2+ions onto nano bentonite as shown in Figure 14 a, b,c. From the calculated data we can found that the Freundlich isotherm model fits very well than that of the Langmuir isotherm model when the R values are compared in Table 6. (R values of Freundlich plot >0.95 were close to unity, indicating isotherm data fitted well to Freundlich model). The Freundlich constant n is the measure of the deviation from linearity of the adsorption. If a value for n is low than unity, this implies that the adsorption process is governed by a chemical mechanism, but a value for n is above unity, adsorption is favorable to a physical process. The values of n at equilibrium are (2.43, 1.85, and 1.49) for Fe3+, Zn2+, and Ni2+ respectively, representing favorable adsorption at studied temperatures and therefore this would seem to suggest that a physical mechanism, which is referred the adsorption bond weak and conducted with Van der Waals forces [35].
Figure 14
The linear Freundlich adsorption isotherm for (a) Fe3+, (b) Zn2+and (c)Ni2+ with nano bentonite at constant pH, 300rpm, 298K, 0.1g/200ml and different initial concentration.
Table 6
Adsorption isotherm parameters for (a) Fe3+, (b) Zn2+and (c)Ni2+ with nano bentonite at constant pH, 300 rpm,298K,0.5g/200ml and different initial concentration.
(a) Fe3+
Co(mg/l)
Langmuir
Freundlich
RL (dm3/mg)
R2 (mg/g)
q max
b
1/n
Kf
R2
50
0.17
0.86
526.3
0.093
0.41
88.89
0.96
100
0.09
150
0.06
200
0.05
250
0.04
(b) Zn2+
Co(mg/l)
Langmuir
Freundlich
RL (dm3/mg)
R2 (mg/g)
q max
b
1/n
Kf
R2
50
0.18
0.99
555.56
0.085
0.54
65.46
0.99
100
0.1
150
0.07
200
0.05
250
0.04
(c) Ni2+
Co(mg/l)
Langmuir
Freundlich
RL (dm3/mg)
R2 (mg/g)
q max
b
1/n
Kf
R2
50
0.18
0.97
500
0.085
0.49
67.7
0.99
100
0.10
150
0.07
200
0.05
250
0.04
The linear Freundlich adsorption isotherm for (a) Fe3+, (b) Zn2+and (c)Ni2+ with nano bentonite at constant pH, 300rpm, 298K, 0.1g/200ml and different initialconcentration.Adsorption isotherm parameters for (a) Fe3+, (b) Zn2+and (c)Ni2+ with nano bentonite at constant pH, 300 rpm,298K,0.5g/200ml and different initialconcentration.
Application case
To demonstrate its practical application value, Nano bentonite was used to treat wastewater samples collected from the three different sources from the drainage of the electric power station, Damanhur, Egypt, which has an unknown concentration of iron ions, and other samples collected from one of the major metalcoating workshops in Almeria, Alexandria, Egypt, also from three different sources which have the unknown concentration of Zinc and Nickel ions.Preparation of samples and procedureThree drops of Conc. HNO3 per liter was added to the collected sample (to prevent metal precipitation).The sample was then transferred to the laboratory where it was filter and pH was measured and found (7.8 and 9.5) for coating workshops and power station samples respectively.After that pH was adjusted using (0.1NHCl and 0.1NNaOH) to be (7 > pH < 8).in the case of power station samples and pH adjusted to be (pH = 6) in case of metalcoating waste sample.the aim of the experiment is studying the effect of different adsorbent dose of nano bentonite (0.01, 0.03, 0.05, 0.1, and 0.3 g) on all collected samples at fixed of other adsorption parameters (volume 200ml, speed of rotation 300rpm, pH, temperature 298K, and contact time 60min), after that, the reaction stopped, and the solution allowed to stele down then filtered, and the filtrate sample was measured using atomic absorption to know the concentration of Fe3+, Zn2+, and Ni2+ ions.In Tables 7, 8 and 9 we collecting the measurements results of collected samples concentration ions and after different doses of nano bentonite and calculated the %removal for each sample then drawing the relation between different doses of nano bentonite with the %removal of ions from wastewater as shown in (Figure 15 a,b,c) for iron, zinc, and Nickel respectively.
Table 7
The value of Fe3+ ions concentration (mg/l) removed using different doses of Nano bentonite for wastewater sample and The relation between Nano bentonite dose and % removal for the wastewater sample.
Nano BentoniteDose (g)
Fe3+ ions concentration (mg/l)
%Removal
Sample (1)
Sample (2)
Sample (3)
40
36
30
Sample (1)
Sample (2)
Sample (3)
0.3
34
31
26
15.0
13.8
13.3
0.1
29
25
22
27.5
30.5
26.6
0.05
24
21
19
40.0
41.6
36.6
0.03
21
18
14
47.5
50.0
53.3
0.01
16
15
12
60.0
58.3
60.0
Table 8
The value of Zn2+ ions concentration (mg/l) removed using different doses of Nano bentonite for wastewater sample and The relation between Nano bentonite dose and % removal for the wastewater sample.
NanoBentoniteDose (g)
Zn2+ ions concentration (mg/l)
%Removal
Sample (1)
Sample (2)
Sample (3)
50
46
40
Sample (1)
Sample (2)
Sample (3)
0.3
47
42
36
6.0
8.6
10.0
0.1
37
33
27
26.0
28.2
32.5
0.05
28
23
18
44.0
50.0
55.0
0.03
21
16
12
58.0
65.2
70.0
0.01
16
11
8
68.0
76.0
80.0
Table 9
The value of Ni2+ ions concentration (mg/l) removed using different doses of Nano bentonite for wastewater sample and The relation between Nano bentonite dose and % removal for the wastewater sample.
Nano BentoniteDose (g)
Ni2+ ions concentration (mg/l)
%Removal
Sample (1)
Sample (2)
Sample (3)
0.92
0.75
0.44
Sample (1)
Sample (2)
Sample (3)
0.3
0.8
0.62
0.4
13.0
17.3
9.0
0.1
0.5
0.55
0.3
45.6
26.6
31.8
0.05
0.25
0.21
0.09
72.8
72.0
79.5
0.03
0.18
0.16
0.1
80.4
78.6
77.2
0.01
0.05
0.03
0.02
94.5
96.0
95.4
Figure 15
The relation between Nano bentonite dose and % removal for wastewater sample (a) Fe3+, (b) Zn2+ and (c) Ni2+.
The value of Fe3+ ions concentration (mg/l) removed using different doses of Nano bentonite for wastewater sample and The relation between Nano bentonite dose and % removal for the wastewater sample.The value of Zn2+ ions concentration (mg/l) removed using different doses of Nano bentonite for wastewater sample and The relation between Nano bentonite dose and % removal for the wastewater sample.The value of Ni2+ ions concentration (mg/l) removed using different doses of Nano bentonite for wastewater sample and The relation between Nano bentonite dose and % removal for the wastewater sample.The relation between Nano bentonite dose and % removal for wastewater sample (a) Fe3+, (b) Zn2+ and (c) Ni2+.These results clearly show that Nano bentonite possesses potential application value. It can be noticed that the % removal of Fe3+, Zn2+, and Ni2+ ions decreases with increasing nano bentonite dose from 0.01g to 0.3g that means that nano bentonite is effective in the elimination of toxic heavy metal ions from wastewateralso with a low dose of nano sorbents can be arrived in good results of removing toxic metal ions from industrial wastewater [36].
Conclusion
The adsorption characteristics of nano bentonite were determined from adsorption studies using heavy metals such as Iron(III), zinc(II), and Nickel(II) as adsorbates. The important findings are summarized as, the % removal of Fe3+, Zn2+, and Ni2+ ions increases with increasing temperature, speed of rotation, and volume of solution, but decreases with the increase in the adsorbent dose and initialconcentration. The maximum % Removal of metal ions reached maximum value at pH = 6 for (Zn2+, Ni2+) and pH >7 for Fe3+ solution. Different thermodynamic parameters ΔH, ΔS and ΔG have been also evaluated and it has been found that the sorption was feasible, spontaneous, and endothermic. The positive value of the entropy change suggested the increased randomness. The correlation coefficient (R2) of the adsorption isotherm data showed that adsorption of Fe3+, Zn2+, and Ni2+ ions on nano bentonite was better fitted to the Freundlich isotherm model. The pseudo-second-order kinetic order model is suitable for describing the adsorption system.
Declarations
Author contribution statement
A.M. Ahmed: Conceived and designed the experiments; Analyzed and interpreted the data; Contributed reagents, materials, analysis tools or data; Wrote the paper.Mohamed I. Ayad and M. A. Darweesh: Conceived and designed the experiments; Contributed reagents, materials, analysis tools or data; Wrote the paper.Mohamed A Eledkawy: Performed the experiments; Analyzed and interpreted the data; Wrote the paper.Essam M. Elmelegy: Performed the experiments; Wrote the paper.
Funding statement
This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
Data availability statement
Data will be made available on request.
Declaration of interests statement
The authors declare no conflict of interest.
Additional information
No additional information is available for this paper.