Demineralised Lignite Fly Ash for the Removal of Zn(II) Ions from Aqueous Solution ()
1. Introduction
Heavy metals are presented in wastewaters because of discharge by industry, for example electroplating, inorganic pigment manufacture, wood processing, photographic operations, and petroleum refining. Small amounts of some heavy organisms, but excessive levels of essential metals may be harmful to the organisms and cause serious health effects (cancer, liver damage, renal disorder, visceral cancers, insomnia, depression, lethargy, vomiting) [1]. To minimize human and environmental exposure to hazardous heavy metals the US Environmental Protection Agency (US EPA) established limit of zinc that may be discharged into wastewater at 0.8 mg/L. Heavy metals may deactivate the active sludge (by poisoning the bacteria) in secondary treatment plants [2]; therefore, chemical treatment must be used to remove heavy metals before the biological step. Various physical and chemical methods are used for treating heavy metals from industrial wastewater, that include: adsorption, ion exchange, complication and membrane separation [3,4]. The method most common and widely used for removing heavy metals from wastewater is chemical precipitation by the use of caustic soda or lime [5]. This method is not expensive, but requires a large amount of chemicals and results in a large quantity of sludge that requires supplementary treatment. Replacing synthetic substrates with low-cost adsorbents has, therefore, been intensively studied, and there have been reports of the use of materials obtained from agriculture and from forest wastes, for example, bagasse fly ash [6], sugar beet pulp [7], activated carbon derived from bagasse [8], maple sawdust [9], clay [10,11], volcanic ash bone char [12], humus [13], or bituminous coal, for removal of heavy metals. Removal of heavy metals (cadmium, copper, zinc, and nickel) on scrap rubber, bituminous coal, peat [14], natural zeolite [15], alkali treated lignite fly ash and alkali followed by methyl orange treated lignite fly ash [16] has been reported.
Fly ash is an amorphous mixture of Ferro aluminosilicate minerals generated by combustion of ground or powdered coal [17]. Approximately 70% of the combustion byproducts is fly ash collected in electrostatic precipitators. This is the most difficult by-product to handle[18], and there is a need for environment-friendly uses of fly ash. Chemically, 90% - 99% of fly ash comprises Si, Al, Fe, Ca, Mg, Na, and K, with Si and Al being the major components. The applications of fly ash depend on the presence of basic mineral elements resembling the earth’s crust, which makes it an excellent substitute for natural materials. Although many papers can be found in the literature on the possibility of removing heavy metals from wastewaters by adsorption on low cost activated carbons, the intertwining among waste properties, beneficiated materials, adsorption mechanisms and efficiencies has only been partly elucidated [19,20].
In this paper we report the efficiency of Zn(II) uptake on lignite fly ash modified by treatment with HCl (4M HCl) followed by treatment with HF (FA-DEM). The adsorption kinetics and substrate capacity were discussed, and are correlated with surface structure (SEM and EDAX) by batch mode study.
2. Materials and Methods
2.1. Preparation of Adsorbents
The fly ash used for this study was collected from the NLC Power Plant, Neyveli, Tamil Nadu, India. 200 gram of the raw fly ash was treated with 200 mL of 4 M HCl and then kept in magnetic stir at 60˚C for an hour. After the solution was allowed to settle for 12 hours and washed with distilled water again and again till the conductivity of the filtrate was below 200 µs. It was then filtered and dried in hot air oven at the temperature of 105˚C. The dried acid treated fly ash (FA-HCl) was then powdered and then treated with HF solutions [(40%), liquid/solid ratio 0.006 dm3/g] at 60˚C for one hour over water bath. After treatment, filtered, washed, dried at 105˚C and used for further studies. The yield for FADEM was found to be 112 g.
2.2. Preparation of Adsorbate
Zinc sulphate heptahydrate (ZnSO4·7H2O), Nickel sulphate hexahydrate (NiSO4·6H2O), Copper sulphate penta hydrate (CuSO4·5H2O), NaOH, HCl and HNO3 were of analytical grade and were used without further purification. Stock solutions were prepared by dissolving 1 g of ZnSO4 in one litre of water. Double distilled water was used throughout the study.
2.3. Characterization of Adsorbent
2.3.1. Acidity and Basicity (Boehm Titration)
Acidity and basicity were estimated by mixing 0.2 g of adsorbent (FA-DEM) with 20 mL of 0.1 M NaOH, 20 ml of 0.1 M Na2CO3, 20 mL of 0.1 M NaHCO3 in a closed flask separately, and agitating for 48 h at room temperature. Filtered and from that filtrate 5 mL was pipetted out and titrated with 0.1 M HCl [21].
2.3.2. Fourier Transform Infrared Analysis
Functional groups in FA-DEM were examined by using the FTIR method of analysis. The FTIR spectrophotometer was based on changes in dipole moment resulting from bond vibration upon absorption of IR radiation. It was carried out at room temperature using Spectrum RX1 “Pelmer” version 5.3 Spectrophotometer in the spectral range of 4000 to 400 cm–1 with a resolution of 4 cm–1.
2.4. Adsorption and Kinetic Studies
A stock solution of ZnSO4·7H2O (1000 mg/L) was prepared and suitably diluted accordingly to the various initial concentrations. Adsorption studies were carried out at room temperature (28˚C ± 5˚C). Batch adsorption studies were carried out using 0.2 g of adsorbent for each bottle, with 50 mL of solution of required concentration and pH of the solutions varied from 2 to 9 in a bench shaker at a fixed shaking speed of 120 rpm. The resulting mixture was filtered (Whatmann filter paper No. 41) and the final concentration of the metal ions in the filtrate determined by UV-2450 vis spectrophotometer at λmax value of 213 nm. The pH of the solution was adjusted using 0.1 M HCl and 0.1 M NaOH and buffer solution was used to maintain the exact pH. The experiments were carried out for various adsorbent dosages, different initial Zn(II) ions concentration, for various contact time and different initial pH of the solution. The stock solution of ZnSO4·7H2O was prepared for the concentration of 1000 ppm and it was diluted to various required concentrations. From the initial and final concentration, percentage removal can be calculated by
(1)
where, C0—initial concentration of Zn(II) ions in mg/L, Cf—final concentration of Zn(II) ions in mg/L. The data obtained in batch mode kinetics were used to calculate the equilibrium metal uptake capacity. It was also calculated for adsorptive quantity of Zn(II) ions by using the following expression:
(2)
where qe is the equilibrium metal ion uptake capacity in mg/g, v is the sample volume in litre, C0 the initial metal ion concentration in mg/L, Ce the equilibrium metal ion concentration in mg/L and w is the dry weight of adsorbent in grams.
2.5. Adsorption Isotherms
Equilibrium studies were undertaken to understand the behaviour of the adsorbent at an equilibrium condition. Equilibrium data are basic requirements for the design of adsorption systems and adsorption models, which are used for the mathematical description of the adsorption equilibrium of the metal ion on to the adsorbent. The results obtained on the adsorption of Zn(II) ions were analysed by the well-known models given by Langmuir, Freundlich, Tempkin, Dubinin-Radushkevich, Harkin-Jura and Frenkel-Halsey-Hill isotherms. For the sorption isotherms, initial metal ion concentration was varied while the pH of the solution and adsorbent weight in each sample held constant. The sorption isotherms were realized with FA-DEM at solution pH 6. Langmuir isotherm assumes monolayer adsorption onto a surface containing a finite number of adsorption sites [22]. The linear form of Langmuir equation is derived as:
(3)
where Qe (mg/g) and KL (dm3/g) are Langmuir constants related to adsorption capacity and rate of adsorption.
Freundlich isotherm assumes heterogeneous surface energies, in which the energy term in Langmuir equation varies as a function of the surface coverage [23]. The well-known logarithmic form of the Freundlich isotherm is given by:
(4)
where KF (mg/g) (l/mg) and 1/n are the Freundlich adsorption constant and a measure of adsorption intensity.
Tempkin assumes that heat of adsorption (function of temperature) of all molecules in the layer decreases linearly rather than logarithmic with coverage. Its derivation is characterized by a uniform distribution of binding energies (up to some maximum binding energy) [24]. The Tempkin isotherm has been used in the form of:
(5)
where B = RT/b, b and A, R and T are the Tempkin constant related to heat of sorption (J/mol), equilibrium binding constant (l/g), gas constant (8.314 J/mol K) and absolute temperature (K).
The D-R model was applied to estimate the porosity, apparent free energy and the characteristics of adsorption [25-27]. The D-R isotherm does not assume a homogeneous surface or constant adsorption potential. The D-R model has commonly been applied in the following Equation (6) and its linear form can be shown in Equation (7):
(6)
(7)
where K is a constant related to the adsorption energy, Qm the theoretical saturation capacity, ɛ the Polanyi potential, calculated from Equation (8)
(8)
The slope of the plot of lnqe versus gives K (mol2/ (kJ2)) and the intercept yields the adsorption capacity, Qm (mg/g). The mean free energy of adsorption (E), defined as the free energy change when one mole of ion is transferred from infinity in solution to the surface of the solid, is calculated from the K value using the following relation [28]
(9)
The Harkin-Jura adsorption isotherm can be expressed as
(10)
where B2 is the isotherm constant. was plotted vs. log Ce. This isotherm explains the multilayer adsorption by the existence of a heterogeneous pore distribution [29].
The Frenkel-Halsey-Hill isotherm can be expressed as
(11)
lnqe was plotted vs. lnCe. This isotherm explains the multilayer adsorption by the existence of a heterogeneous pore distribution of the adsorbent [30].
3. Results and Discussion
3.1. Characterization of the Adsorbent
3.1.1. Scanning Electron Microscopic Studies (SEM)
The Figures 1(a) and (b) clearly show that the SEM was employed to observe the physical morphology of the FA-DEM before and after adsorption. The SEM images (Figure 1(a)) clearly show that FA-DEM particles are mainly composed of irregular and porous particles in FADEM. Figure 1(b) shows the SEM image of FA-DEM after adsorption of Zn(II) ions.
3.1.2. Energy Dispersive X-Ray Spectroscopic Analysis (EDX)
The components of FA-DEM were SiO2 1.86%, Al2O3 24.87%, CaO 10.9%, MgO 5.53%, TiO2 2.54% and FeO 1.14%. The presence of the above mentioned elements in FA-DEM is clearly shown in Figures 2(a) and (b) before and after adsorption of Zn(II) ions respectively. From the EDX analysis, it was proved that the minerals like SiO2, Al2O3 and FeO of fly ash were considerably reduced by treating fly ash with 4 M HCl and HF solutions peaks between 1 - 2 keV and 8 - 10 keV in the EDX spectrum scale (Figure 2(b)) prove that the Zn(II) ions are adsorbed by the adsorbent FA-DEM.
3.1.3. FTIR Spectroscopic Studies
Surface functional groups were detected by Fourier transform infrared (FTIR) spectroscope from the scanning range (4000 cm–1 - 400 cm–1) and elemental analysis was performed using an elemental analysis. FTIR spectra for FA-DEM before and after adsorption show broadband between 3100 and 3700 cm–1 in Figures 3(a) and (b) respectively. This indicates the presence free and hydrogen bonded OH groups such as water either OH groups such as water or of clay minerals or phenolic groups on the adsorbent surface.
(a) (b)
Figure 1. (a) SEM image of FA-DEM before adsorption; (b) SEM image of FA-DEM after adsorption.
(a)(b)
Figure 2. (a) EDX spectrum of FA-DEM before adsorption; (b) EDX spectrum of FA-DEM after adsorption.
(a)(b)
Figure 3. (a) FTIR spectrum of FA-DEM before adsorption; (b) FTIR spectrum of FA-DEM after adsorption.
This stretching is due to both the silanol groups (SiOH) and adsorbed water [31,32]. The FTIR spectra of FA-DEM indicated weak and broadband in the region of 1600 - 1800 due to C=O group stretching bands from aldehydes and ketones. The fundamental bending vibration of H2O molecules corresponds to a sharp peak at 1646.8 cm−1. The band at 1646.8 cm−1 may be due to the conjugated hydrocarbon bonded carbonyl groups. The band at 1123.8 cm−1 may be due to vibrations of CO group lactones [32]. This band was shifted to 1082.9 cm−1 after adsorption. This shows that the adsorption of Zn(II) ions may take place at this site. The 1396 cm−1 band in FA-DEM may be attributed to the aromatic CH and carboxyl-carbonate structures [33]. Additionally intense vibration at 600 - 400 cm−1 for FA-DEM is attributed to clay and silicate minerals [34]. Although some interference can be drawn about the surface functional groups from FTIR spectra, the weak and broad bands do not provide any authentic information about the nature of the surface oxides. The presence of polar groups on the surface is likely to give considerable cation exchange capacity to the adsorbents.
3.1.4. Acidity and Basicity (Boehm Titration)
This titration shows the number of acidic, basic, phenolic, carboxyl and lactones sites. For FA-DEM, the number of basic sites presented was found to be 1.2024 mEq/g L, the number of phenolic, carboxyl and lactones groups was found to be 3.161 mEq/g L and the number of carboxyl groups presented was found to be 1.6416 mEq/g L. The above values for FA-DEM were also favourable for the possibility of ion exchange mechanism during the adsorption of Zn(II) ions process because of the number of phenolic, carboxyl and lactones groups in FA-DEM [35-38].
3.2. Effect of pH on Adsorption, Desorption and Recycling Ability
The pH of the solution has a significant impact on the uptake of heavy metals. The pHzpc of FA-DEM is 4. The solution pH is above the pHzpc of the adsorbent, the surface of the adsorbent is highly loaded with negatively charged ion. It favours the adsorption of metal cation onto the negative surface of the adsorbent due to the electrostatic attraction. Therefore, it can be expected that positively charged metal ions are likely to adsorb onto the negatively charged adsorbents at the pH above ZPC for FA-DEM [39]. Metal cations in aqueous solutions hydrolyse according to the generalized expression for divalent metals.
M2+(aq.) + nH2O = M(OH)2 − n + nH+
The silica in FA-DEM could adsorb either positive or negative contaminants depending on the pH of the solution. The central ion of silicates has an electron affinity, giving the oxygen atoms bound to it low basicity. This allows the silica surface to act as a weak acid, which can react with water, forming silanol (SiOH) groups. As a result, at low pH the silica surface is positively charged and at high pH values it is negatively charged. The pHzpc of silica is generally in the neighbourhood of 2.0 [40-42]. This indicates that the maximum Zn(II) ions adsorption capacity of FA-DEM can be attributed to the electrostatic interaction of the adsorbate with surface silica sites of the adsorbents [43-45].
Figure 4 indicates that the pH of the solution (2.0 - 9.0) had a significant effect on the adsorption of Zn(II) ions onto FA-DEM. At pH 6, the adsorptions of Zn(II) ions on FA-DEM were found to be 57.7%. Zn(II) ions were removed by precipitation, but not in adsorption if the solution pH is above pH 8 for FA-DEM. Thus, we fixed the pH 6 for Zn(II) adsorption onto FA-DEM in this study. As shown, the precipitation of the heavy metal ions except copper was less than 20% at pH below 8, indicating that the removal of the metals except copper was mainly accomplished by adsorption below pH 8. Since the FA-DEM has a low ZPC, the surface of the fly ash was negatively charged under the pH investigated. As pH increased from 4 to 9, it is expected that the fly ash surface becomes more negatively charged. Thus, more favourable electrostatic attractive forces enhanced cationic metal ion adsorption as pH increased. However, the dependence of heavy metal adsorption on pH was different for each metal. The effect of pH on adsorption, desorption and recycling capacities of FA-DEM for Zn(II) ions removal in aqueous solution was given in Figure 4. For FA-DEM, the adsorption capacity increases initially upto 57.72% until the pH reaches 6 and after pH 6, it decreases. After pH 8, it increases. This may be due to the precipitation of Zn(II) ions.
In the wastewater treatment systems using adsorption process, the regeneration of the adsorbent and /or disposal of the loaded adsorbent are very important. Desorption studies were carried out for the adsorbents FADEM by employing batch methods shown in Figure 4. The maximum desorption of 7.76% took place in acidic medium at the pH 5 for FA-DEM. The results indicate that Zn(II) ions adsorbed onto FA-DEM can be recovered by acidified distilled water 7.76% only. After desorption, the adsorbent was further used for adsorption process for the removal of Zn(II) ions. The percentage of adsorption of Zn(II) ions was found to be 47.78% for FA-DEM after desorption at pH 6 given in Figure 4.
3.3. Effect of Contact Time
Aqueous Zn(II) ion solutions with initial ion concentration of 100 ppm were kept in contact with FA-DEM from 5 minutes to 1.20 h. The rate of removal was rapid for first 1.15 h and thereafter the rate of metal removal attains equilibrium. No significant change in metal ion removal after 1.15 h for FA-DEM. During the initial stage of adsorption, a large number of vacant surface sites are available for adsorption. After a lapse of some time, the remaining vacant surface sites are difficult to be occupied due to repulsive forces between the adsorbate molecules on the solid surface. The maximum uptake of Zn(II) ions at pH 6 for FA-DEM was found to be 57.7%.
Figure 4. Effect of pH on adsorption and desorption.
3.4. Adsorption Kinetics
The adsorption process of Zn(II) ions can be well fitted using the pseudo second order rate for FA-DEM. The kinetic parameters were given in Table 1. The qe value (14.28) obtained from second order kinetic equation for FA-DEM was close to the experimental qe value (11.2) and the linear regression coefficient value R2 value (0.9661) obtained for pseudo second order kinetics was close to unity compared to the R2 value (0.6427) obtained from first order kinetics. The value on initial sorption (h) that represents the rate of initial adsorption, is 8.08 mg (g·min)–1 for FA-DEM. This indicates the adsorption of Zn(II) ions onto FA-DEM follows pseudo second order kinetics.
The Elovich equation, the linear coefficient value (R2) for FA-DEM was found to be 0.7078. Elovich constants AE (desorption constant, g·mg–1) and BE (Initial adsorption rate) for FA-DEM were 0.781 mg/g min and 2.32 × 105 g/min respectively.
In intraparticle diffusion model, the values of qt were found to be linearly correlated with values of t1/2. The Kd values were calculated by using correlation analysis. Kd = 0.7197 mg·g–1·min–1/2, R2 = 0.8979, C = 6.4466 for FADEM were obtained using intraparticle diffusion model. The values of intercept C (Table 1) provide information about the thickness of the boundary layer, the resistance to the external mass transfer increases as the intercept increases.
3.5. Adsorption Isotherm
To optimize the design of an adsorption system for the adsorption of adsorbate, it is important to establish the most appropriate isotherm model. Various isotherm equations like those of Langmuir, Freundlich, Tempkin, Dubinin-Radushkevich, Harkin Jura and Frenkel Halsey isotherm has been used to describe the mono-component equilibrium characteristics of adsorption of Zn(II) ions onto FA-DEM. The experimental equilibrium adsorption data were obtained by varying the concentration of Zn(II) ions with fixed dosage of FA-DEM. The adsorption parameters for each metal ion obtained from the fitting of different isotherm models with the experimental data are listed in Table 2 along with the linear regression coefficients, R2. FA-DEM has a homogeneous surface for the adsorption of metal ions. Therefore, it is expected that the Langmuir isotherm equation can be had better represent the equilibrium adsorption data. The R2 value is closer to unity for Langmuir model than that for the other isotherm models for FA (R2 = 0.9857). Therefore, the equilibrium adsorption data of Zn(II) ion adsorption on FA-DEM can be represented appropriately by the Langmuir model in the studied concentration range.
The calculated value of D-R parameters is given in Table 2. The saturation adsorption capacity Qm obtained using D-R isotherm model for adsorption of Zn(II) ions onto FA-DEM is 11.22 at 0.2 g 50 mL–1 adsorbent dose. The value of E calculated using Equation (8) is 0.354 KJ mole–1 for FA-DEM, which indicating that there was no ion exchange mechanism taking place in the adsorption of Zn(II) ions adsorption onto FA-DEM (for ion exchange mechanism the value of E was found to be within 1.3 to 9.6 KJ·mole–1) [46].
Table 1. Comparison of kinetic parameters of Zn(II) ions adsorption on FA-DEM.
Table 2. Isotherm constants and coefficients of determinations for FA-DEM.
3.6. Influence of Other Metals on Adsorption of Zn(II) Ions
Influence of Ni(II) Ions and Cu (II) Ions on Adsorption of Zn(II) Ions
The concentration of Zn(II) ion solution was kept as 100 ppm. The concentration of Cu(II) ion was varied as 10, 20, 30 and 40 ppm. Each solution was taken in the bottles and the pH was adjusted to 6 for FA-DEM and after shaking 1.15 h, the percentage of adsorption was calculated. The percentage of adsorption decreased from 57.7% to 38.9% as the concentration of Cu(II) solution increased. This showed that there was a competitive adsorption taking place to a certain extend between the Zn(II) ions and the Cu (II) ions. The same procedure was repeated for Zn(II) ions in presence of Ni(II) ions. The adsorption percentage of Zn(II) ions was decreased to 57.7% to 38.8% in presence of Ni(II) ions.
The concentration of Zn(II) ion solution was kept as 100 ppm. The concentrations of Ni(II) ion solutions and Cu(II) ion solutions were varied as 10, 20, 30 and 40 ppm. Each solution was taken in the bottles which were added to Zn(II) solution and the pH was adjusted to 6 for FA-DEM and after shaking 1.15 h, the percentage of adsorption was calculated. The percentage of adsorption decreased from 57.7% to 37.26% as the concentration of both Ni(II) ions and Cu (II) ions increased. This showed that there was a competitive adsorption taking place to a certain extend between the Zn(II) ions, the Ni(II) ions and Cu(II) ions. The percentage of adsorption of Zn(II) in presence of other metals was decreased.
4. Conclusion
Treating the fly ash with HCl (4M) solutions and HF solutions, the surface is modified by dissolution and reprecipitation reactions. By dissolution of acid oxides, the specific surface area is enhanced and activated and the efficiency of heavy metal removal increases. The adsorption of Zn(II) ions is pH-dependent with maximum adsorption of 57.7% occurring at pH 6 for FA-DEM. The adsorption data were well fitted by the Langmuir isotherm model which shows monolayer adsorption capacity of FA-DEM. Adsorption of Zn(II) ions onto FA-DEM obeyed pseudo second order kinetics. The adsorbed Zn(II) ions can be desorbed from the adsorbent using water. The percentage of adsorption of Zn(II) ions on FA-DEM was slightly higher in single system than binary and tertiary system which shows the competitive adsorption between the metal ions. The experimental results show that this can be an up-scalable solution and represent a step in investigating the process of complex treatment of wastewater containing heavy metals.
NOTES