The present study is an attempt to synthesize and explore the applications of the synthetic nano-zeolites (nZ) and its composites with graphene oxide (GO) for water purification. The modified Hummer's method and hydrothermal methods were applied for the synthesis of the graphene oxide and nano zeolites respectively, followed by the preparation of the composite with the ultrasonic method. Scanning electron microscopy, energy dispersive analysis of X-rays, Fourier transform infrared spectroscopy and X-ray fluorescence were used for physico-chemical characterization of the composite. The various parameters of adsorbent dose, contact time, initial and final pH of solution were optimized for the removal of calcium hardness. The results indicate optimum removal (98%) can be reached at pH 7 while the removal is highly adsorbent dose-dependent. The nZGO removal data were investigated by pseudo-first-order, pseudo-second-order, Elovich, and intraparticle diffusion. In that, pseudo-second-order and intraparticle diffusion models are best fitted to the experimental data. The experimental data were also analysed by Langmuir, Freundlich and Temkin isotherms, the experimental data follows the Langmuir isotherm and the determination coefficient is 0.99.

  • Nano-zeolite-graphene composite synthesized from hazardous fly ash via hydrothermal reaction.

  • The crystallographic study of Nano-zeolite with framework is studied in detail.

  • The molecular sieve in the composite acts as effective sites for cation exchange.

  • The synthesized composite is a highly effective material for water softening.

Graphical Abstract

Graphical Abstract
Graphical Abstract

Water quality plays a vital role for its use in industrial, domestic as well as agricultural purposes. Zhi & Zhang (2014) reported interior water quality with respect to chemical contaminants; that is, hardness, nitrate, heavy metals and soluble ions, in urban as well as a rural area of the world (Amarasooriya & Kawakami 2019; Ahamad et al. 2020). Hardness is a major challenge for groundwater, which is ensured to be the source of water for various purposes. It creates the problem of scaling of boilers, washing machines, and pipes, and difficult lathering for industries. Hard water also creates health problems in human beings. Disorders like urolithiasis, cardiovascular disorders, kidney problems, and even cancer were reported by Rolence (2016). Currently, several techniques have been used to solve the problems such as the deionization process, adsorption, lime soda, nano-filtration (Madarasz et al. 2014), microbial and ion exchange processes. The natural zeolites have shown good adsorption properties and are used for purification of water (Gougazeh & Buhl 2013; Madarasz et al. 2014).

Graphene is a mono-atomic layer of graphite which is an emerging star on the horizon of material science in the 21st century. Geim & Novoselov (2014) synthesized two-dimensional graphene material for the application of ground-breaking experiments. The unique physicochemical characteristics of graphene oxide; that is, its large surface area (2,600 m2 g−1), electrical mobility (em2v−1s−1), conductivity (500 W m−1 K−1) and mechanical properties have made graphene oxide an ideal adsorbent (Maab et al. 2016).

Being a carbon nanomaterial, graphene oxide contains a number of active functional groups like carboxyl, carbonyl, epoxy and hydroxyl which makes graphene a strong candidate for target-specific adsorption (MeiJiao et al. 2013). The study by Soltani & Lee (2016) reveals that, due to their high surface area, negative surface charge and highly mobile π-electrons, graphene, graphene oxides, and its composites are efficient adsorbents and are widely used for environmental applications (Kar et al. 2016).

Although fly ash has wide applications (Koshy & Singh 2016), mainly about 20% of total fly ash generated from the thermal power plant is used in the cement production (Zhang et al. 2011; Izidoro et al. 2013). A large quantity of fly ash is dumped in land with resulting harmful effects on the environment (Molina & Poole 2004). Fly ash mostly consists of Al and Si in the form of aluminosilicate, with traces of Fe, Na, K, Ca, Ti and S. It also contains crystalline minerals in minor quantities such as mullites, lime anhydrite and quartz (Soni & Shukla 2018). However, the adsorption efficiency of fly ash is lower in comparison to the commercial adsorbents, consequently (Hong et al. 2017), the experiments are being performed with various chemical reactions for the improvement of the fly ash adsorption capacity (He et al. 2016).

Zeolites are a significant group of crystalline aluminosilicate crystalline materials and they have generally used in adsorption of contaminants and ion exchange process (Ferrarini et al. 2016). It is mainly composed of crystalline solid structures made of silicon, aluminium, and oxygen. Zeolites naturally occur in small quantities only, hence synthetic zeolites are very popular for their catalytic characteristics and other properties like ion exchange and adsorption (Liu et al. 2011).

Literature on the removal of hardness from water by zeolite is scarcely available. The present work demonstrates a novel synthesis method for nano-zeolite-graphene oxide (nZGO) composite from fly ash to remove calcium hardness from water (Liu et al. 2016; Hailu et al. 2019). The natural zeolites have shown good adsorption properties and are used for purification of water, but the limited reserves of zeolite do not permit its application at the commercial level (Gao et al. 2011). The fly ash derived nano-zeolite-graphene oxide composite is a better adsorbent for hardness removal from water. The synthesized nZGO composite may also be investigated as a catalytic converter for auto exhausts.

Materials

Graphite powder, sodium nitrate (NaNO3), sodium hydroxide (NaOH), potassium permanganate (KMnO4), and hydrochloric acid (HCl) were purchased from Fisher Scientific, India. Sulphuric acid (H2SO4) and hydrogen peroxide (H2O2) were supplied by Merck. All reagents were used without any further purification.

Preparation of graphene oxide (GO)

GO was synthesized using the modified Hummer's method. For this, concentrated sulphuric acid (H2SO4) 69 ml, 3 gram of graphite powder and NaNO3 (1.5 gram) were added in the round bottom flask at less than 5 °C for 20 minutes with continuous stirring. Then subsequently 9 gram of potassium permanganate (KMnO4) was added slowly for 1 hour. The reaction was stirred for 7 hours at 35 °C. After 7 hours, 9 gram of potassium permanganate was added slowly for 15 minutes and the reaction was stirred for 12 hours at room temperature. The gradually brown color was developed which indicates the complete oxidation of graphite (Marcano et al. 2010; Zamani & Tabrizi 2016). The reaction mixture was cooled at room temperature and transferred into an ice bath with the addition of 300 ml distilled water. Finally, the brown suspension was further treated with 10 ml hydrogen peroxide (H2O2) to reduce residual oxidant, the brown suspension turns to pale yellow. This suspension was highly acidic (pH <4). The mixture was repeatedly washed with dilute ammonium hydroxide solution followed by distilled water until the mixture attained pH 7. The final yield was 5.1 g dried solids after drying in the oven at 60 °C. The mother liquor was analyzed on the atomic absorption spectrophotometer, to ensure that the graphite oxide was free of sodium, potassium and manganese; the solution was free of the trio.

Synthesis of nano-zeolites (nZ)

The fly ash <120 μm particle size was obtained by sieving for the synthesis of nano-zeolite. The dissolved iron oxides were removed by washing the fly ash with 10% HCl for 12 hours. Pre-treated 15 gram of dry fly ash was mixed in 50 ml 8 N NaOH in a Teflon-lined autoclave reactor. The hydrothermal reaction was carried out at 130 °C for 3 hours. The autoclave reactor was cooled until it reached room temperature, and the mixture was washed with distilled water up to pH 7 and dried in the oven at 80 °C for 3 hours (Chen & Lu et al. 2018; Zhao et al. 2018).

Preparation of nano-zeolite-graphene-oxides composite (nZGO)

250 mg of graphene oxide was mixed in 50 ml of distilled water for ultra-sonic exfoliation for 3 hours. Subsequently, 5 gram of nano-zeolite was added to the exfoliated graphene oxide solution and stirred for 6 hours. The solution of the reaction was filtered and washed several times with distilled water. The reaction mixture of the reaction was dried in the oven at 60 °C for 3 hours. To ensure composite formation, the process was undertaken three times.

Physico-chemical characterization

Investigate the functional groups, Fourier Transformation Infrared spectroscopy (FTIR) (Shimadzu IR Affinity-1) with intensity from 400 to 4,000 cm−1 was applied. The crystallographic study was done on an X-ray diffractometer (LabX XRD-6100) with monochromatized Cu-Ka (λ = 0.154056 nm) radiation at 36 kV, 20 mA samples were scanned in the range of 5–80° with continuous scanning mode and scanning rate was set at 2°/min. The morphological characteristics of the sample were investigated using Field Emission Scanning Electron Microscopy (Hitachi FESEM S-4800) with voltage accelerated voltage at 20 keV. The composition of the elements of the samples were studied using Energy dispersive analysis of X-rays (EDX, Bruker Nano). The chemical composition of fly ash was carried out with the help of an X-ray fluorescence spectroscope with glass tablets FLX-SP1, Voltage/kV: 38.0, Current/μA: 15.0 for MCA peak calibration (ED-XRF SPECTRO XEPOS III).

Batch adsorption study

In order to find the batch adsorption behaviour of calcium hardness onto nZGO, the experiments were performed at room temperature. The standard stock solution of calcium hardness was made by dissolving 3.6 gm of calcium chloride in 1,000 ml DI water at neutral pH. The working solution of the required concentration was prepared by serial dilution of the stock calcium hardness solution. For the evaluation of the hardness removal, different amounts of nZGO (250–1,000 mg/L) were mixed into 100 ml calcium hardness solution of known concentration (250–1,000 mg/L) and the mixture was stirred using an orbital shaker at 110 rpm for different time intervals. Subsequently, the supernatant was separated from the mixture by filtration, and the residual calcium hardness was determined by titration with the EDTA method.

The pH optimization was performed with the nZGO (250 mg/L) at different pH (1–14). The pH of the solution was attuned using 0.1 N HCl/NaOH before the addition of nZGO. For dose on optimization, different amounts of adsorbents (250–1,000 mg/L) were used and an optimum adsorbent dose of 1,000 mg/L at 110 rpm stirring speed was observed. All the experiments were performed three times and the mean was considered as a final value.

Chemical composition of fly ash

The XRF results reveal the chemical composition of the fly ash used for the preparation of nZ. The major constituents were silica (76.68%), aluminium (17.33%), calcium (1.6%) and titanium dioxides (1.42%) with other elements in trace quantity. The loss on ignition was found to be 47.52%. Table 1 also shows the chemical composition of major and minor elements obtained by XRF analysis. In general, results are similar for most of the elements.

Table 1

Chemical composition of major and minor elements in fly ash

Sr. No.ElementConcentrationUnit
Silicon dioxide (SiO271.04 
Aluminium oxide (Al2O317.33 
Potassium (K2O) 0.959 
Calcium oxide (CaO) 1.65 
Titanium dioxide (TiO21.42 
Magnesium oxide (MgO) 0.43 
Phosphorus pentoxide (P2O50.15 
Manganese oxide (MnO) 0.06 
Ferric oxide (Fe2O35.58 
10 Bismuth (Bi) 0.132 
11 Barium (Ba) 0.05 
12 Chlorine (Cl) 0.03 
13 Zirconium (Zr) 0.03 
14 Strontium (Sr) 0.01 
15 Zinc (Zn) 0.01 
16 Cerium (Ce) 0.008 
17 Copper (Cu) 0.007 
18 Vanadium (V) 0.006 
19 Chromium (Cr) 0.005 
20 Yttrium (Y) 0.005 
21 Nickel (Ni) 0.005 
22 Rubidium 48.8 
23 Lanthanum (La) 0.004 
24 Lead (Pb) 0.004 
25 Other element 1.075 
Sr. No.ElementConcentrationUnit
Silicon dioxide (SiO271.04 
Aluminium oxide (Al2O317.33 
Potassium (K2O) 0.959 
Calcium oxide (CaO) 1.65 
Titanium dioxide (TiO21.42 
Magnesium oxide (MgO) 0.43 
Phosphorus pentoxide (P2O50.15 
Manganese oxide (MnO) 0.06 
Ferric oxide (Fe2O35.58 
10 Bismuth (Bi) 0.132 
11 Barium (Ba) 0.05 
12 Chlorine (Cl) 0.03 
13 Zirconium (Zr) 0.03 
14 Strontium (Sr) 0.01 
15 Zinc (Zn) 0.01 
16 Cerium (Ce) 0.008 
17 Copper (Cu) 0.007 
18 Vanadium (V) 0.006 
19 Chromium (Cr) 0.005 
20 Yttrium (Y) 0.005 
21 Nickel (Ni) 0.005 
22 Rubidium 48.8 
23 Lanthanum (La) 0.004 
24 Lead (Pb) 0.004 
25 Other element 1.075 

FTIR

Figure 1 shows the FTIR spectra of GO synthesised by the modified Hummer's method. The FTIR spectrum of GO shows strong and broad O-H stretching vibration band at 3,630 cm−1, 3,439 cm−1, -OH from (H2O) at 3,190 cm−1, at 2,824 cm−1 for –OH of carboxylic group, carboxyl C = O stretching band at 1,737 cm−1, aromatic C = C at 1,574 cm−1 C-O-H deformation band at 1,386 cm−1, 1,196 –OH (Phenolic), C-C skeletal stretching vibration at 1,053 cm−1, and C-O skeletal stretching band can be seen at 968 cm−1, 828 cm−1 and 698 cm−1.

Figure 1

FTIR spectrum of graphene oxide.

Figure 1

FTIR spectrum of graphene oxide.

Close modal

The FTIR spectra in Figure 2 of nano zeolite are helpful for the identification of bands related to the construction of the aluminosilicate framework of zeolites. The asymmetric stretching vibrations bridge bonds of Si-O-Al are assigned to the band at 1,006 cm−1 and around 670 cm−1 is symmetric stretching vibrations of bridge bonds (Mozgawa 2001). The characteristic single band of zeolite around 1,006 cm−1 has resulted in a hydrothermal reaction of fly ash with NaOH. The bands at the wave number 489 cm−1 are the characteristic bending vibration of oxygen hexagonal rings present in zeolites.

Figure 2

FTIR spectra of nano-zeolites.

Figure 2

FTIR spectra of nano-zeolites.

Close modal

The FTIR spectra in Figure 3 depict the bands of the nZGO. In this spectrum, the nano zeolite crystal framework dominates, whereas the O-H of the graphene oxide is reduced to a considerable extent and the band for the hydroxyl stretching vibration at 3,439 cm−1 is hardly visible. The other bands of GO are observed as at 1,737 cm−1 (C = O), 1,386 cm−1 (-C-OH), and (-C-C-) 1,053 cm−1 (Xia & Gerson 2018). The asymmetric stretching vibration of bridge bonds in nano zeolite for Si-O-Al is also present around 1,016 cm−1 with symmetric stretching vibration at 670 cm−1 (Agarwal & Rani 2018). All these observations validate the formation of the nano-zeolite-graphene oxide composite. The reduction of the hydroxyl group in the nZGO indicates the reducing nature of the nano zeolites; for further clarity, a detailed experimental study is necessary (Jha & Singh 2018).

Figure 3

FTIR spectra of nZGO composite.

Figure 3

FTIR spectra of nZGO composite.

Close modal

Crystallographic properties

The XRD patterns of the solid products of GO, nZ, and nZGO composite are shown in Figure 4. The XRD pattern of graphene oxide shows diffraction peaks at 12.5° and 43.2°. The values of the diffraction peaks are in good agreement with the previously reported literature (Gebhardt et al. 2014). The peak intensity at 25.97° in the nZGO composite is reduced considerably in comparison to pristine GO. After the Reitvield refinement in PANalytical High ScorePlus V. 30, search and match of peaks revealed the structure of the nano zeolite as almost similar to wonesite. The crystal structure was formed with the help of the data processing software VESTA (Figure 4(b). The lattice type was C with the symmetry C2/m, the unit cell dimensions were found to be a = 6.00, b = 10.60, c = 9.6 Å, α = 90, β = 104.100, γ = 90° and the unit cell volume was 592.16 Å3. From Figure 4(b) it is clear that the hexagonal oxygen ring formation is present in the structure. The synthesized nano zeolite shows a triclinic structure in which the two tetrahedral sheets are set apart through the interlayer region. The interlayer region is partially occupied by sodium ions (Kogure et al. 2005).

Figure 4

(a) X-ray diffraction pattern of nZGO, nZ and GO. (b) Three dimensional crystal structure of nZGO composite.

Figure 4

(a) X-ray diffraction pattern of nZGO, nZ and GO. (b) Three dimensional crystal structure of nZGO composite.

Close modal

Morphological properties

The surface characteristics of graphene oxide were studied using FESEM. The graphene oxide shows a layered and three-dimensional nature (Figure 5(a)), thick edges of graphite have exfoliated after oxidation. The image shows the multilayer graphene oxide sheet as well as folding at the edges. Energy dispersion X-ray analysis was carried out for estimation of the elemental composition (carbon and oxygen) in the sample. The increased oxygen content in GO can be seen in the inset table of Figure 5(b).

Figure 5

SEM images showing the different morphologies of GO (a), fly ash (c), nZ (e) and nZGO (g) and the EDX graph of elemental composition GO (b), fly ash (d), nZ (f) and nZGO (h), three-dimensional profiles of roughness images of FA (i), nZ (j) and nZGO (k).

Figure 5

SEM images showing the different morphologies of GO (a), fly ash (c), nZ (e) and nZGO (g) and the EDX graph of elemental composition GO (b), fly ash (d), nZ (f) and nZGO (h), three-dimensional profiles of roughness images of FA (i), nZ (j) and nZGO (k).

Close modal

FESEM images of fly ash show the irregular spheroidal crystal morphology, it has spherical particles with smooth surfaces and edges (Figure 5(c)). The spheroidal fly ash particles were transformed into smooth edged-irregular elliptical and spherical shaped nano-zeolites (Figure 5(e)). This shape and size transformation provides a large surface area with highly active sites (Figure 5(j) and 5(k)).

The rough surface of the nZ adsorbent resulted in a comparatively increased surface area compared to fly ash. The average diameter of the nZ was found to be approximately 20 nm. The size of the fly ash particles size reduces significantly after hydrothermal reaction with sodium hydroxide and forms nano zeolites. The EDX results (Figure 3(f)) indicates the replacement of aluminium by sodium in the fly ash. Figure 3(f) also indicates the elemental presence of Na, Al, Si and O in nZ.

FESEM observation of nZGO shows that the nano zeolites are uniformly coated with GO sheets as a result of pressure and temperature during the hydrothermal reaction. The bright crystals of the nZ turned black in color after the hydrothermal treatment. The composite formation is evidenced by the color change as well as the EDX analysis results (Figure 5(h)). The GO sheets with hydrophilic nature have favourable interaction with nano zeolite crystals. Figure 6(a) is the histogram of the nZ particles size, it reveals the particles ranged between 10 and 130 nm; however, the particle size 10–40 nm is of maximum frequency. In Figure 6(b), the histogram of the nZGO particle can be seen with a size distribution between 10–140 nm; the particle size of 10–30 is dominated by high frequency.

Figure 6

Particle size distribution of nZ (a) and nZGO (b).

Figure 6

Particle size distribution of nZ (a) and nZGO (b).

Close modal

pH effect on adsorption

The pH of the calcium hardness solution is a significant influence on the adsorption process, which is directly affected by the functional groups present on the adsorbent surface by changing the charge of the adsorbent surface.

The experiments on the effect of pH on the adsorption process were performed at pH 1–14 with the 250 mg/L calcium hardness solution concentration; contact time was 2 hours at 27 °C and adsorbent concentration 250 mg/L. The results are shown in Figure 7; adsorption is about 40% at pH 1–6 and adsorption also decreased in the pH range of 8–14. The neutral pH condition is favourable for maximum adsorption of calcium hardness by nZGO with 98% achieved. Acidic and basic conditions of the solution hamper the adsorption mechanism (Singh & George 2018)
(1)
where is the charge on the adsorbent surface, which is equal to zero, the initial pH of the solution is the pH before treatment, whereas pH final is the pH of the solution after treatment. The resultant zero-point charge of the composite adsorbent was found at pH 7, this indicates the nZGO composite surface has a positive charge in acidic conditions while the surface has a negative charge under basic conditions. The influence of pH on the nZGO is shown in Figure 8. The optimum equilibrium adsorption capacity of hardness was observed at pH 6 to 8. The results indicate, though the adsorption efficiency is highly favourable at neutral pH, hardness removal up to the accepted limits can be achieved in the pH range of 6–8 (Barathi et al. 2014).
Figure 7

pH effect on calcium hardness adsorption by nZGO, adsorbent dose 250 mg/L and calcium hardness concentration 250 mg/L at 27 °C.

Figure 7

pH effect on calcium hardness adsorption by nZGO, adsorbent dose 250 mg/L and calcium hardness concentration 250 mg/L at 27 °C.

Close modal
Figure 8

Zero point charge.

Figure 8

Zero point charge.

Close modal

Effect of contact time

The R for adsorption efficiency and q for capacity of adsorption were calculated using the following equation:
(2)
(3)
where (mg/L) is the initial calcium hardness, Cl is the residual concentration of calcium ions, V (litres) is solution volume and m (mg) is the adsorbent mass.

The effect of contact time was studied at room temperature and with intervals of 15–300 minutes. Figure 9 shows the relationship between adsorbent adsorption time and calcium absorption efficiency. It was revealed that calcium removal is rapid for 15–120 minutes and thereafter removal capacity is at a slower rate. The percentage of calcium hardness removal comes to equilibrium within 120 minutes. Further increase in contact time did not show significant change in hardness removal. This may explore the adsorption on the outer part of the adsorbent surface (Geethamani et al. 2013).

Figure 9

Calcium hardness adsorption (%) vs. contact time, adsorbent dose 250 mg/L, calcium hardness concentration 250 mg/L at pH 7.

Figure 9

Calcium hardness adsorption (%) vs. contact time, adsorbent dose 250 mg/L, calcium hardness concentration 250 mg/L at pH 7.

Close modal

Effect of initial calcium hardness concentration

The effect of initial calcium hardness concentration in the water solution was studied to find the adsorption capacity of nZGO. The experiments were conducted at pH 7 for 120 minutes (Figure 10) duration with four different adsorbent doses (250, 500, 750 and 1,000 mg/L) for four different calcium hardness concentrations, viz. 250, 500, 750, and 1,000 mg/L being used to examine efficiency. It can be observed in Figure 7 that the adsorption capacity declines in both acidic and basic conditions, and the decrease in adsorption capacity may be a result of saturation of the active binding sites on nZGO. The increased dose increases the adsorption up to 1,000 mg/L. With increasing adsorbent dose from 250 to 1,000 mg/L, the adsorption of calcium ions increased from 69 to 98%, respectively. An increase of adsorption of calcium ions with increasing adsorbent dose may be due to the availability of more binding sites for adsorption.

Figure 10

Variation of calcium hardness adsorption (%) at different adsorbent doses (250–1,000 mg/L), pH 7.

Figure 10

Variation of calcium hardness adsorption (%) at different adsorbent doses (250–1,000 mg/L), pH 7.

Close modal

Kinetic study

The various parameters of adsorption kinetics are necessary for determining the adsorption rate, with substantial information for modelling and designing the adsorption mechanism (Jayarathna et al. 2015). The kinetics of calcium hardness by nZGO absorption were studied using the pseudo-first-order, pseudo-second-order (Figure 11) and intraparticle diffusion models (Figure 12). Table 3 illustrates the various parameters and correlation coefficients (R2 values near 1) values. For the conformity, the predicted values of model and experimental data were expressed by the correlation coefficient. The kinetics equations are given below:

Table 3

Adsorption equilibrium constants obtained from different isotherms fitting for adsorption of calcium ions

IsothermLinear formParametersAdsorbent dose (mg/L)
2505007501,000
Langmuir Ce/qe = CeL/KL +1/KL qm (mg/g) 217.3 100 68.49 46.95 
KL (L/mg) 2.287 2.298 2.329 3.772 
R2 0.950 0.981 0.999 0.993 
Freundlich lnQe = 1/n 1nCe + lnkf 1.9775 2.184 2.159 3.063 
Kf (L/mg) 10.40 8.0196 6.2332 9.234 
R2 0.941 0.972 0.938 0.967 
Temkin isotherm  B1 0.011 0.0211 0.031 0.0403 
KT (L/mg) 1.692 4.421 1.136 4.056 
R2 0.966 0.967 0.969 0.971 
IsothermLinear formParametersAdsorbent dose (mg/L)
2505007501,000
Langmuir Ce/qe = CeL/KL +1/KL qm (mg/g) 217.3 100 68.49 46.95 
KL (L/mg) 2.287 2.298 2.329 3.772 
R2 0.950 0.981 0.999 0.993 
Freundlich lnQe = 1/n 1nCe + lnkf 1.9775 2.184 2.159 3.063 
Kf (L/mg) 10.40 8.0196 6.2332 9.234 
R2 0.941 0.972 0.938 0.967 
Temkin isotherm  B1 0.011 0.0211 0.031 0.0403 
KT (L/mg) 1.692 4.421 1.136 4.056 
R2 0.966 0.967 0.969 0.971 
Figure 11

Pseudo-second-order kinetics of calcium hardness adsorption by nZGO at pH 7.

Figure 11

Pseudo-second-order kinetics of calcium hardness adsorption by nZGO at pH 7.

Close modal
Figure 12

Intra particle diffusion of calcium ion adsorption by nZGO at different nZGO doses; at pH 7.

Figure 12

Intra particle diffusion of calcium ion adsorption by nZGO at different nZGO doses; at pH 7.

Close modal
Pseudo-first-order equation:
(4)
Pseudo-second-order equation:
(5)
where is the equilibrium adsorption capacity (mg/g), is the amount of calcium hardness adsorbed (mg/g) and time t, is the pseudo-first-order rate constant and is the rate constant of the pseudo-second-order kinetics (mg/min) (Jethave et al. 2017). Figure 11 shows the values of and determined by slope and intercept by plotting vs. t. In order to find the suitability of the models, four initial hardness concentrations of 250, 500, 750 and 1,000 mg/L were prepared. Table 2 shows the calculated parameters, based on the correlation coefficient value of R2 = 0.999; it can be concluded that the calcium hardness adsorption on the nZGO follows the pseudo-second-order kinetics model; further, this model can be used for the investigation of the adsorption process (Mondal et al. 2016).
Table 2

Kinetics coefficient values (R2) of different initial calcium hardness concentrations (250–1,000 mg/L) at pH 7

ModelsParametersCalcium hardness concentration (mg/L)
2505007501,000
Pseudo-first-order kinetics Kf ×102 0.852 0.230 0.230 0.040 
qe 3.980 10.97 14.79 17.54 
R2 0.879 0.758 0.856 0.945 
Pseudo-second- order kinetics Ks × 102 0.0366 0.016 0.013 0.010 
qe 2.781 2.379 1.393 1.222 
R2 0.999 0.995 0.993 0.999 
Intra-particle diffusion Kid4.724 2.453 3.906 3.803 
8.645 1.704 3.729 3.800 
R2 0.992 0.998 0.955 0.998 
Kid10.24 3.842 3.412 3.845 
35.75 21.54 3.909 7.251 
R2 0.997 0.992 0.8844 0.999 
Elovich α 208 2.016 1.966 2.809 
β 0.166 0.084  0.064 0.062 
R2 0.9791 0.9311 0.9872 0.972 
ModelsParametersCalcium hardness concentration (mg/L)
2505007501,000
Pseudo-first-order kinetics Kf ×102 0.852 0.230 0.230 0.040 
qe 3.980 10.97 14.79 17.54 
R2 0.879 0.758 0.856 0.945 
Pseudo-second- order kinetics Ks × 102 0.0366 0.016 0.013 0.010 
qe 2.781 2.379 1.393 1.222 
R2 0.999 0.995 0.993 0.999 
Intra-particle diffusion Kid4.724 2.453 3.906 3.803 
8.645 1.704 3.729 3.800 
R2 0.992 0.998 0.955 0.998 
Kid10.24 3.842 3.412 3.845 
35.75 21.54 3.909 7.251 
R2 0.997 0.992 0.8844 0.999 
Elovich α 208 2.016 1.966 2.809 
β 0.166 0.084  0.064 0.062 
R2 0.9791 0.9311 0.9872 0.972 
Despite the high correlation coefficient values for adsorption on the nZGO surface, the second-order kinetic process cannot be pointed out. The above models were not able to distinguish the intraparticle diffusion mechanism. Hence, the intra-particle mass transfer diffusion model was used to determine the rate control step. The kinetic adsorption process expressed in Equation (6) is another alternative method.
(6)
where is the number of calcium ions adsorbed by nZGO at time t, k is the intraparticle diffusion constant (mg/g·min0.5) and C is the intercept. The intraparticle diffusion model was proposed by Weber & Morris (1963) (Senusi & Karim 2011; Geethamani et al. 2013). This can be calculated by the plot of vs. is based on the intraparticle diffusion model, which is a straight line if the adsorption mechanism expresses the only intraparticle diffusion process (Jethave et al. 2017). In Table 2 are shown the obtained rate constants of intraparticle diffusion. For the intraparticle diffusion model fitting for 250–1,000 mg/L calcium hardness concentration and adsorbent dose of 250 mg/L, each set of experimental results shows that two different slopes are fitted with (Figure 12). This model shows the multi-linear fitting of the experimental data of the adsorption process involves more than one kinetic mechanism and more than two steps influenced the adsorption process. The experimental data in this model explained that the adsorption process of calcium ions by nZGO involves more than one kinetic mechanism.
The Elovich equation was applied to evaluate the kinetics of chemisorption of calcium ions by nZGO it depends on the adsorption capacity in linear form and is obtained from Equation (7).
(7)
where q is the amount of calcium ions adsorbed at time t, α is the desorption constant and β represents the initial adsorption rate. The plot of qt versus ln(t) should yield a linear relationship with a slope and intercept of (1/β) and (1/β) ln (αβ), respectively. The Elovich constants, taken from the intercept of the conventional line and slope, are shown in Table 2 (Ghaedi et al. 2015).

The kinetics study shows that the nZGO obeys the pseudo-second order kinetics and also satisfies the Elovich equation.

Isotherm adsorption analysis

The adsorption isotherm study of the adsorption process for water purification is an important step. The adsorption isotherm models were used to investigate the interaction between calcium ions and adsorbent; that is, nZGO. As per Langmuir (1918), is the amount of adsorbate; that is, Ca++ ions adsorbed per unit weight of adsorbent (nZGO) and is the equilibrium concentration of adsorbate solution (mg/L), at constant temperature; this is the adsorption isotherm (Jethave et al. 2017). The experimental values of adsorption are tested with Langmuir, Freundlich and Temkin isotherm models. The linearized forms of the equations predict adsorbent-adsorbate behaviour.

The equilibrium of the adsorption process was described by fitting the experimental data with Langmuir, Freundlich and Temkin models, which are used to represent the equilibrium adsorption isotherm. The Langmuir isotherm model approved that superlative adsorption appears when an nZGO adsorbent surface consists of a saturated monolayer of solute molecules. It further assumes that the energy of adsorption is the same and there is no movement of adsorbates on the surface. Instead, the Freundlich isotherm model describes the adsorption of calcium ions from a liquid to a heterogeneous solid surface adsorbent (nZGO). The results obtained are presented in Table 3.
(8)
where is the monolayer adsorption capacity of the adsorbent, Langmuir isotherm constant, solid-phase adsorbate equilibrium concentration and represent equilibrium concentration. A plot of versus gives a straight line where slope is and intercept equal to The correlation coefficient values between (R2 0.950–0.993) confirms the adsorption process followed the Langmuir isotherm model. The van der Waals forces lead aggregation between the heterogeneous surface of the adsorbent and adsorbate with monolayer adsorption. The results reveal that the surface of the adsorbent has vast amounts of active sites for calcium ion adsorption. The qmax value obtained from the Langmuir isotherm (Figure 13) was found to be 217 mg/g, which is close to the experimental values of 227 mg/g.
(9)
Figure 13

Langmuir isotherm model for calcium hardness removal at four different adsorbent doses (250–1,000 mg/L).

Figure 13

Langmuir isotherm model for calcium hardness removal at four different adsorbent doses (250–1,000 mg/L).

Close modal
The Freundlich isotherm model is usually applied when the adsorption sites are not identical and there is multilayer adsorption. Where kf is the Freundlich constant and n is a heterogeneity adsorbent surface. The Freundlich isotherm constant values were calculated using the slope and intercept of the linear plot versus while the values between R2 (0.941–0.967) are shown in Table 3, though the experimental values display a linear nature but the confidence interval is lower in comparison to the Langmuir isotherm (Araghia & Entezari 2015; Nigri et al. 2017).
(10)

The Temkin isotherm model anticipates that the adsorption of the heat of all molecules should decrease linearly with increasing adsorbate overlapping on the adsorbent (i.e. nZGO) surface, and adsorption of adsorbate (calcium ions) is characterized by uniform distribution with maximum binding energy (Kadir & Ismail 2017; Petriciolet et al. 2017). The Temkin isotherm equation is given as Equation (10). Where KT is the equilibrium binding constant (mg/L), T is the absolute temperature in K, and B1 is for the heat of adsorption. The constants calculated from the Temkin isotherm are shown in Table 3. The heat of adsorption (B1) value should decrease with increase in adsorbent dosage but the increasing values of (B1) indicates the Temkin isotherm model is not in agreement with the experimental data.

Separation factor

In order to find the feasibility of the adsorption process, the dimensional separation factor RL is calculated using the Langmuir constant (Fegade et al. 2018).
(11)
If unfavourable, favourable, irreversible and linear.

Where is the calcium ion initial concentration (mg/L), represents the condition for adsorption and is the Langmuir constant. The calculated values in the present study for were found to be between 0.186 and 0.012, which indicates the favourable condition for calcium ion adsorption onto nZGO surface (Figure 14) (Geethamani et al. 2013).

Figure 14

Separation factor for the adsorption of calcium hardness by nZGO at room temperature.

Figure 14

Separation factor for the adsorption of calcium hardness by nZGO at room temperature.

Close modal

In order to check the interference of other cations and anions in the adsorption process, an open well water sample was collected from the university campus and treated with the nZGO composite. The physiochemical parameters of well water sample are shown in Table 4. Physiochemical parameter such as pH, electric conductivity, calcium and Magnesium hardness, sulphate and nitrate, were determined with the standard methods. The synthesized nZGO (250 mg/L) was introduced in a 100 ml well water sample and stirred for 120 minutes. The results of adsorption can be seen in Table 4; the calcium ion concentration of the well water sample is reduced by 73.33%; this value is obviously less than the adsorption of calcium from the standard solution used in the study. The interference of the Mg++ on the adsorption can be seen clearly.

Table 4

Physicochemical parameter of open well water sample

ParameterBeforeAfter% Removal
pH 7.2 7.1 – 
E. Conductivity (S/m) 1,220 246 79.83 
Calcium (mg/L) 120 32 73.33 
Magnesium (mg/L) 230 75 67.39 
Nitrate (mg/L) 21.35 11.60 45.66 
Sulphate (mg/L) 62.17 28.03 54.91 
ParameterBeforeAfter% Removal
pH 7.2 7.1 – 
E. Conductivity (S/m) 1,220 246 79.83 
Calcium (mg/L) 120 32 73.33 
Magnesium (mg/L) 230 75 67.39 
Nitrate (mg/L) 21.35 11.60 45.66 
Sulphate (mg/L) 62.17 28.03 54.91 

This is also a favourable one, as the magnesium ions are also a hardness contributor. The 73% of calcium hardness, along with 67% of the magnesium from the open well water sample, are removed. Apart from both cations; that is, Ca++ and Mg++, the anions; that is, nitrate, is reduced by 45% while sulphate is reduced by 54%; on a cumulative scale, the adsorption capacity of the composite is more than the qmax; that is, 217 mg/g. The adsorption process for the real water sample is processed at neutral pH. Though the cationic adsorption on the graphene is favourable at lower pH conditions, in this composite the presence of zeolite molecular sieves governs the adsorption at neutral conditions.

Adsorption mechanism

The nZGO composite was synthesized and explored for a possible application for hardness removal. The increased surface area and structural diversity of the synthesized material have demonstrated good adsorption capacity. The possible ion exchange process of the nZGO with the Ca++ ions is illustrated in the following Figure 15.

Figure 15

Proposed ion exchange process in nZGO composites.

Figure 15

Proposed ion exchange process in nZGO composites.

Close modal

Zeolites normally attract cations by interfacing with the adjacent medium due to their ion-exchange properties. The heavy metal cations like rubidium, caesium, silver, cadmium, lead, zinc, barium, strontium, copper, mercury, cobalt and chromium have a great affinity for ion exchange on the zeolite surface. However, their selectivity by the zeolite framework strongly depends on the hydrated molecular size of the cations, zero point charge of the adsorbent surface and pH of the medium associated with the process. The physicochemical properties; that is, the porosity and oxygen-containing functional groups, have considerable influence on the adsorption of cations. The porous structures of the composite with a large surface area provides favourable diffusion energy levels. The adsorption performance of the native components of the composite; that is, GO and nZ, is not very satisfactory in comparison with the composite (nZGO). This is due to escalated surface interaction provided by the functional groups of GO in the composite with the molecular sieve of the nanozeolite. The study strongly advocates the application of nZGO composite as a promising alternative to the adsorbent materials currently available in the field of water softening treatment.

Table 5 compares various natural and commercial adsorbents' capacity for calcium hardness removal. Among all of the absorbents, the nZGO synthesized in the present study has shown maximum calcium ions removal capacity and the Qmax is 980 mg/L.

Table 5

Comparison of nZGO with other adsorbents for calcium hardness removal

AdsorbentTimepHAdsorbent doseQmax (mg/L)Reference
Coconut shell activated carbons (CSAC) 10 h 6.3 240 g/L 655 Rolence et al. (2014)  
Natural zeolite 30 m 6.9 50 g/L 100 Hailu et al. (2019)  
Amberlite 748 8 h 9.5 120 mg/L 465.16 Yu et al. (2009)  
Kaolinite smectile 30 m 2 g/L 100 Sheneshen et al. (2018)  
Moringa oleifera (Seed pod husk) 40 m 0.3 g/L 568.4 Khati (2018)  
Amorphophallus Campansulates  1.5 g/L 100 Lestari et al. (2018)  
Coconut shell powder 3 h 8 g/L 557 Tomar & Rastogi (2018)  
Neem leaves 3 h 2 g/L 500 Tomar & Rastogi (2018)  
Chitosan 1 h 2.5 g/L 521.64 Kumar & Vishishtta (2018)  
Commercial zeolite 1 h 6 g/L 600 Goud et al. (2015)  
Natural pumice 6 h  6 g/L 57.27 Sepehr et al. (2013)  
Modified pumice 3 h 6 g/L 62.34 Sepehr et al. (2013)  
Carbon nanotube sheets    600 Tofighy & Mohammadi (2013)  
Combined electrochemical system   290 Zhi & Zhang (2014)  
Ion exchange resin 1 h 2–5  490 Gulten (2019)  
nZGO 2 h 1 g/L 980 Present work 
AdsorbentTimepHAdsorbent doseQmax (mg/L)Reference
Coconut shell activated carbons (CSAC) 10 h 6.3 240 g/L 655 Rolence et al. (2014)  
Natural zeolite 30 m 6.9 50 g/L 100 Hailu et al. (2019)  
Amberlite 748 8 h 9.5 120 mg/L 465.16 Yu et al. (2009)  
Kaolinite smectile 30 m 2 g/L 100 Sheneshen et al. (2018)  
Moringa oleifera (Seed pod husk) 40 m 0.3 g/L 568.4 Khati (2018)  
Amorphophallus Campansulates  1.5 g/L 100 Lestari et al. (2018)  
Coconut shell powder 3 h 8 g/L 557 Tomar & Rastogi (2018)  
Neem leaves 3 h 2 g/L 500 Tomar & Rastogi (2018)  
Chitosan 1 h 2.5 g/L 521.64 Kumar & Vishishtta (2018)  
Commercial zeolite 1 h 6 g/L 600 Goud et al. (2015)  
Natural pumice 6 h  6 g/L 57.27 Sepehr et al. (2013)  
Modified pumice 3 h 6 g/L 62.34 Sepehr et al. (2013)  
Carbon nanotube sheets    600 Tofighy & Mohammadi (2013)  
Combined electrochemical system   290 Zhi & Zhang (2014)  
Ion exchange resin 1 h 2–5  490 Gulten (2019)  
nZGO 2 h 1 g/L 980 Present work 

The nZGO nanocomposite was synthesized and successfully demonstrated its efficient adsorption potential for calcium hardness. More than 98% of calcium ions were adsorbed from 250 mg/L synthetic solution, at 120 min equilibrium time and 250 mg/L adsorbent dose. The maximum adsorption was observed at neutral pH. The removal efficiency increased with increasing adsorbent concentration. The adsorption study indicated the adsorption of calcium hardness was by the Langmuir and Temkin models, which indicates monolayer adsorption. The kinetic equilibrium data showed that the adsorption process follows pseudo-second-order kinetics and shows the adsorption process is through chemisorption. The intraparticle diffusion model indicated that it is a multi-step adsorption process. The removal of hardness from a real water sample by nZGO is also greater, it is also a good adsorbent for removing other contaminants from water. It is shown that nZGO has the best performance as an adsorbent to remove calcium hardness compared to other composites. In the view of the above, nZGO composite could be used as an effective and economical adsorbent with good practical value in the future for industrial applications.

One of the authors, Mr Ram A. Konale, sincerely acknowledges the financial support provided under DST INSPIRE Fellowship for Research Students, Scheme by Department of Science and Technology, Government of India. Grant number: DST/INSPIRE Fellowship/[IF170674].

All relevant data are available from an online repository or repositories at https://drive.google.com/drive/folders/1fIJLjhk2KfQ8QSwDzlx06o1xY9KvAwiL?usp=sharing.

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