A novel copolymer was used as an adsorbent for enhanced ammonium removal in an aqueous system; different ratios of styrene–acrylic acid copolymers were synthesized by random free radical polymerization and followed by a sulfonation of styrene (acrylic acid 25%–sulfonated styrene 75%) copolymer [P(AA25/SS75)] attained the highest ammonium adsorption capacity (55.8 mg/g) due to the electrostatic attraction between positively charged NH4+ and negatively charged –COO and –SO3- groups. FTIR spectra for sulfonated polymers illustrated the appearance of characteristic peaks at 100–1200 cm−1 indicating that the copolymers were successfully sulfonated. The influence of different experimental factors (i.e., contact time, pH, NH4+ concentration, adsorbent dose) on ammonium ion adsorption was investigated; three adsorption isotherm models including Langmuir, Freundlich, and Temkin were used to study the adsorption mechanism. The results indicated that the equilibrium of adsorption can be reached within 30 min; the highest adsorption capacity can be achieved around pH 7. Furthermore, Freundlich isotherm was the most suitable for fitting the experimental data which might expose the heterogeneity of the adsorbent surface. The regeneration and reusability studies were also implemented, and results showed that P(AA25/PSS75) was stable and regenerable using (1 M) sulfuric acid as a desorbing agent over five cycles.

  • Increased concentration is a serious dilemma in Nile River water.

  • A novel copolymer used for removal, achieved a distinct adsorption capacity: 55.8 mg/g.

  • The novel copolymer showed a remarkable adsorption capacity compared with other adsorbents.

  • Isotherms suitability for fitting experimental data arranged: Freundlich > Langmuir > Temkin.

  • Reusability study of copolymer proved sulfuric acid is prober regeneration eluent.

Graphical Abstract

Graphical Abstract
Graphical Abstract

Egypt is dependent on the Nile River as the major source of its water supply for all economic and service activities. Water quality is considered a very critical factor with regard to the intended uses of water, including drinking water production, irrigation, and other industrial activities based mainly on the use of water of high-quality specifications. From this perspective, water quality in Egypt faces many problems, especially in governorates located at the end of the Rosetta branch of the Nile River; downstream governorates include Kafr El-Sheikh and Beheira governorates. Pollution is considered as one of the most serious problems affecting water quality in Egypt, as raw water resources in Kafr El-Sheikh Governorate are affected by many contaminants, particularly during the winter season and low demand period of the Nile River, in which water level decreases and organic matter increases resulting in decreased dissolved oxygen, and increased ammonia, nitrite and bacterial load in the water (Gad 2017). The problem of increased ammonium ion concentration in Nile River water was and still represents a very serious dilemma and a major challenge for governmental water-purification facilities, especially those located in the downstream governorates, especially during the low demand period of the Nile River. Many studies were conducted for the removal of ammonium from water, the conventional removal techniques include biological treatment, bio-filtration, air stripping, wet oxidation, break-point chlorination, chemical precipitation, ion exchange/adsorption (Jorgensen & Weatherley 2003; Adam et al. 2019) other studies used zeolites and clays for ammoniacal nitrogen removal from water (Rožić et al. 2000). In common, these conventional techniques failed to present such a practical, efficient, time, and cost-effective solution.

Ammonia in water has two forms, an unionized form with the formula NH3. The second form is ionized and has the formula . The major factor which determines the proportion of ammonia (NH3) or ammonium () in water is the pH variation of water. This is of great importance, as the unionized NH3 is the form that can be toxic to aquatic organisms; while the ionized is basically harmless. The chemical equation that drives the relationship between ammonia and ammonium is:

When the pH is low, the reaction is driven to , and when the pH is high, the reaction is driven to NH3. At a pH, less than 6.0, the proportion of NH3 is decreased and the proportion of is increased; with increasing pH (around 8.0), the proportion of NH3 is 10% or less, and at a pH slightly above 9.0, the proportion is about 50%. In surface water, the pH value ranges between 7 and 8 and the ammonium ion form represents 90% or more. Ammonium ion has a positive charge, which makes it very convenient for electrostatic attraction phenomena to remove the ammonium ion from water by using negatively charged adsorbents (Sawyer 2008).

Polymers achieve promising results in removing ammonia from an aqueous solution. Recently, a few studies used different polymers to remove ammonia from polluted water. Helminen & Paatero (2006) used sulfonated polystyrene grafted silica gel sorbent for ammonium removal from aqueous solutions. Cruz et al. (2018) used polymer hydrogels for the rapid sorption of ammonium from domestic wastewater coupled with efficient regeneration by mild acid washing, the sorption capacity of the hydrogel was 8.8–32.2 mg NH4-N/g, which corresponds to removal efficiencies ranging from 68% to 80% NH4-N. Adsorbents should be solid material as stationary phase; so that they could be easily removed from the solution after ammonium adsorption. The adsorbents consist of a crossed-linked copolymer produced from acrylic acid and styrene; to this synthetic matrix, functional groups are added, which act as ion exchange sites, the functional groups are sulfonic (–SO3H) or carboxylic (–COOH) acids for resins capable of exchanging cations. Cation exchange resins that are based on crossed-linked copolymers are available in the form of small beads. The size and porosity of the beads, which are important properties governing the ion exchange process, are controlled by the conditions during polymerization and the subsequent application of uniform particle size technology. The chains produced through the polymerization of styrene or acrylic acid are cross-linked to each other through DVB groups. A higher percentage of DVB used during polymerization leads to a higher degree of cross-linkage between the chains. Higher cross-linked resins have the advantage that they swell less in aqueous solution (swelling in water is a common feature of these ion exchangers) and that they exhibit an improved mechanical strength. At the same time, however, the porosity of the resin beads decreases. This entails that the solute less easily reaches the functional groups (sites of ion exchange), and this leads to a less-efficient ion exchange process. Moreover, the number of functional groups that can be attached to the matrix of higher cross-linked resins is reduced, and thus, less functional groups are available to exchange ions. The process of ion exchange, therefore, is less efficient for highly cross-linked resins. To balance the different effects, most commercially available resins have cross-linkages of not more than 10% (Korkisch & Worsfold 1990).

Materials

Styrene (S) and acrylic acid (AA) monomers and divinylbenzene cross-linked (DVB) were supplied from Sigma-Aldrich. Ammonium persulfate (APS) was purchased from Fisher Scientific Company, UK. Ammonium chloride standard solution and sulfuric acid were purchased from Merck Company, Germany.

Methods

Synthesis of acrylic acid–styrene copolymers [P(AA/S)]

In general, styrene–acrylic acid [P(AA/S)] copolymers are prepared by conventional free radical polymerization, The steps could be summarized as follows: 2 g of polyvinyl alcohol (PVA) as a dispersing agent was dissolved in 200 mL of distilled water, followed by the addition of different mass ratio from AA/S (25, 50, and 75%) as monomers and divinylbenzene as a cross-linked agent, then the mixture was stirred at 600 rpm and bubbled with nitrogen for 10 min. The content was heated to 80 °C, and 0.5 g of APS as an initiator for free radical polymerization. The copolymerization was carried out for 6 h with stirring under an inert gas atmosphere (nitrogen gas [N2] atmosphere). The five white beaded copolymer products [PAA, P(AA75/S25), P(AA50/S50), P(AA25/S75), and PS] were collected by filtration then washed with warm water and dried at 40 °C overnight (Sánchez et al. 2007).

Sulfonation of [P(AA/S)] and PS copolymers

Sulfonated copolymers [P(AA75/S25), P(AA50/S50), P(AA25/S75), and PS] were prepared according to the procedure described by Castagna et al. (2010) and Martins et al. (2003). Acetyl sulfate was synthesized by combining concentrated sulfuric acid with a solution of acetic anhydride in dichloromethane with acetic anhydride in excess. Freshly prepared acetyl sulfate was added slowly into a gently agitated solution of copolymer in dichloromethane at 40 °C. The sulfonation reaction was stirred for 4 h and was then terminated by the addition of methanol. The copolymers were isolated by precipitation into methanol and then were washed several times with deionized water. The sulfonated products [P(AA/SS25), P(AA/SS50), P(AA/SSt75), and PSS] were used as adsorbents for ammonium uptake.

Adsorption experiment

Adsorption measurements were determined by batch experiment of 50 mg of adsorbent with 50 mL of ammonium ion () solutions. The mixtures were stirred at 150 rpm for different time intervals (i.e., 5, 15, 30, 60, 120, and 180 min) and then the suspensions were filtered and ammonium concentration was measured. The experiments were carried out by varying pH of the initial suspension (5–9), contact time (5–180 min), and initial concentration (5–100 mg/L). The initial and final concentrations of in the solution were measured according to Nessler reagent colorimetric method (Jeong et al. 2013). The removal percent was calculated according to the following equation:
where Ci is the initial concentration (mg/L) and Ce is the experimental concentration (mg/L).

Desorption and regeneration

After the adsorbent reached the equilibrium on solution, the adsorbent was separated by direct filtration. The analytical result was recorded as the first removal percent; the separated loaded adsorbent was stirred in 20 mL 0.1 mol/L of different acids (sulfuric acid, nitric acid, hydrochloric acid, methanesulfonic acid, etc.) solution for 10 min. After separation, ammonium concentration in the acidic eluent was measured for determining the desorption efficiency of different acids. On the other hand, the adsorbent was washed with 20 mL of distilled water several times. The regenerated adsorbent was contacted again with 50 mL solution to obtain the second removal percent; after the detection of the suitable acid for regeneration process, a similar procedure was repeated and the removal percent for multicycle adsorption–desorption process was then achieved (Zheng et al. 2009).

Characterization

A JASCO FT/IR 6800 instrument (4 cm−1 resolution) equipped with a DTGS detector was used for the FTIR studies. Solid samples were dried in an oven at 60 °C overnight. Then, they were ground with KBr powder at 1% wt/wt and pressed to form a thin disk. FTIR was used for the characterization of polymers synthesis.

Statistical analysis

Analysis of variance (ANOVA), Pearson correlation, and the least significant difference (LSD) of multiple means comparison were conducted using Microsoft® Excel® 2016 MSO (16.0.12527.22045) 64-bit software. Statistical analyses included one-way ANOVA and two-way ANOVA, data were calculated as means ± standard deviations (SD) and analyzed using analysis of variance, where a probability of 0.05 or less was considered significant (Girden 1992). The Pearson correlation coefficient, R, is a measure to determine the relationship (instead of difference) between two quantitative variables and the degree to which the two variables coincide with one another. Correlation coefficients whose magnitude lies between (0.9) and (1.0) indicate variables which can be considered very highly correlated, while correlation coefficients with a magnitude between (0.5) and (0.7) indicate variables which can be considered moderately correlated (Freedman et al. 2007). Multiple means comparisons were conducted using the LSD test; (α = 0.05), according to Williams & Abdi (2010). Three adsorption isotherm models, Langmuir, Freundlich, and Temkin, were applied to represent the relationship between adsorbent and adsorbate at equilibrium according to Dada et al. (2012), data were analyzed and graphs were plotted by OriginPro 2021 (64-bit), version: 9.8.0.200, Copyright © 1991-2020 OriginLab Corporation.

FTIR characterization of polymers

Different types of prepared copolymers have two essential functional groups, sulfonic (–SO3H) and carboxylic (–COOH); which could be distinguished by FTIR spectra. Figure 1 shows FTIR spectra for different types of polymers, PS spectrum illustrated that absorption peaks at wavenumber 3020 and 3060 cm−1 due to aromatic C–H stretching vibration, there are three absorption peaks at the wavenumbers of 1600, 1490, and 1450 cm−1 due to aromatic C = C stretching vibration absorption. These absorption peaks indicate the existence of benzene rings, absorption peaks at the wavenumbers of 2920 and 2840 cm−1, corresponding to the existence of methylene groups which are the backbone for PS polymer (León-Bermúdez & Salazar 2008). Another FTIR spectrum P(AA/S) showed an appearance strong absorption peak at 1740 cm−1 due to C = O stretching vibration absorbance. This absorption peak indicates the successful copolymerization between styrene and acrylic acid which contains carboxylic groups (–COOH) (Ismail et al. 2011; Mente et al. 2021). FTIR spectra for PSS and P(AA/SS) illustrated the appearance of characteristic peaks at 100–1200 cm−1 indicate that the PS and P(AA/S) were significantly sulfonated. The presence of the bands relative to S–O was not present in the original polymer's spectra. The occurrence of –SO3 band of symmetric stretching vibration at 1030 cm−1 and –SO3 – asymmetric stretching vibration at 1170 cm−1 indicates qualitatively the presence of the attached –SO3H groups (Fathy et al. 2013). Additionally, the –OH stretching absorption band at ∼3400 cm−1 for the sulfonated polymers was highly observed. These bands lead us to conclude that the two copolymers [PSS and P(AA/SS)] were successfully sulfonated.
Figure 1

FTIR spectra for synthetic copolymers.

Figure 1

FTIR spectra for synthetic copolymers.

Close modal

Effect of contact time and sulfonated polystyrene ratio on adsorption

The variation of ammonium residual concentration after treatment with different polymers over different time periods is shown in Figure 2. The initial concentration of ammonium ion was 10 mg/L for all experiments. Five polymers including [PAA, P(AA75/PSS25), P(AA50/PSS50), P(AA25/PSS75), and PSS] were used to compare each polymer capability for ammonia removal over six-time intervals (5, 15, 30, 60, 120, and 180 min). All the experiments were done in triplicates; expressed in means ± standard deviation. Polymer P(AA25/PSS75) showed the lowest ammonia residual concentrations compared with other four polymers over the six-time intervals with values ranging as follows: 1.28 ± 0.04/5, 1.09 ± 0.03/15, 0.48 ± 0.03/30, 0.46 ± 0.03/60, 0.41 ± 0.02/120, and 0.38 ± 0.02/180 min. Ammonia removal percentages by polymer P(AA25/PSS75) reached the highest value 95.17 ± 0.31 after 30 min. Two-way ANOVA test results showed statistically significant differences between means of ammonia residual concentration treated with different polymers over different time intervals. Post hoc test; i.e., Fisher's Least Significant Difference (LSD) was used for multiple comparisons to create confidence intervals for all pairwise differences between means of ammonia residual concentration at different Polymers/Time intervals while controlling the individual error rate to a significance level of 0.05; results concluded that there were statistically significant differences when comparing means of ammonia residual concentrations in experiments treated with Polymer P(AA25/PSS75) with other experiments treated with other four polymers suggesting preference for Polymer P(AA25/PSS75) over other polymers, also LSD results showed that there were no statistically significant difference when comparing ammonia residual concentrations mean in experiment treated with Polymer P(AA25/PSS75) at contact time 30 min with the same experiment at 60 min which showed that the contact time of 30 min was the optimum contact time for Polymer P(AA25/PSS75) with regard to ammonia removal. Results of the current study showed a remarkable adsorption percentage reached 87.2% within 5 min; Zheng et al. (2009) used chitosan-g-poly(acrylic acid)/attapulgite composite for the removal of ammonium from aqueous solution and reported that adsorption percentage above 90% was achieved within contact time of 5 min. In another study, which also supported the results of the current study; Lin & Wu (1996) used ion exchange resin for the removal of ammonium and reported that the resin fulfilled equilibrium within a contact time of 30 min.
Figure 2

Ammonium residual concentration variation after treatment with different polymers over different time periods.

Figure 2

Ammonium residual concentration variation after treatment with different polymers over different time periods.

Close modal
Figure 3 shows the effect of increasing the ratio of sulfonated styrene groups in polymer structural building, results indicated that the increase of sulfonated styrene groups give rise to an increase in the adsorption capacity of ammonium ions until the ratio of sulfonated styrene groups reached 75%, the adsorption capacity recorded 55.87 mg/g, then tend to decrease with the further increase of sulfonated styrene groups on the expense of carboxylate groups; the complete absence of carboxylate groups (in case of PSS polymer) causing a decrease of the adsorbing material dimensions because of decreasing the repulsion force between the negatively charged carboxylate groups (Zheng et al. 2012). Based on the foregoing findings, a ratio of 75% sulfonated styrene groups was selected to be used throughout the study.
Figure 3

Adsorption capacity as a function of sulfonated styrene ratio in polymer structure, contact time: 30 min, initial ammonium concentration: 100 mg/L.

Figure 3

Adsorption capacity as a function of sulfonated styrene ratio in polymer structure, contact time: 30 min, initial ammonium concentration: 100 mg/L.

Close modal

Adsorption isotherms

Isotherm data analysis is important for developing an equation describes the results and could be applied for design purposes (Stepniewska et al. 2004). The adsorption isotherm represents the relationship between adsorbent and adsorbate at equilibrium (Shao-feng et al. 2005). Three adsorption isotherm equations were applied: Langmuir, Freundlich, and Temkin models. Langmuir's model of adsorption predicts the existence of monolayer coverage of the adsorbate at the outer surface of the adsorbent. The isotherm equation assumes that the adsorption takes place at specific homogeneous sites within the adsorbent and at equilibrium, the adsorption constant equals the desorption constant. Langmuir equation can be described as follows (Cheung et al. 2009):
where qe is the equilibrium adsorption capacity of NH4 on adsorbent (mg/g), qm is the monolayer adsorption capacity (mg/g), b is the Langmuir adsorption constant (L/mg), and Ce is the equilibrium NH4 concentration (mg/L).
Freundlich isotherm assumes the heterogeneity of the surface as the adsorption occurs at sites with different adsorption energies varying as functions of surface coverage, the Freundlich isotherm equation is expressed as follows (El Qada et al. 2008):
where K (L/g) and n (dimensionless) are Freundlich isotherm constants.
Temkin isotherm model takes into consideration the adsorbate/adsorbate indirect interactions effects on the adsorption. Temkin isotherm supposed that the adsorption heat of all ions in a given layer is steadily reduced as a result of increasing surface coverage (Ringot et al. 2007). The Temkin isotherm fits for a medium range of ion concentrations (Shahbeig et al. 2013). Temkin isotherm model is given by:
where B (dimensionless) is a constant related to the heat of adsorption and a is Temkin isotherm constant (L/g).
Data obtained from adsorption are fitted against Langmuir, Freundlich, and Temkin models as shown in Figure 4, the isotherms’ different parameters, constants, and correlation coefficient R2 are illustrated in Table 1. The results indicated that the suitability of isotherms for fitting the experimental data is in the following order: Freundlich > Langmuir > Temkin. Based on the above-mentioned order, the adsorption might expose the heterogeneity of adsorbent surface which supports the Freundlich model, as the Freundlich equation is used to describe the adsorption properties of heterogeneous surfaces, as it assumes the presence of effective sites and a heterogeneous adsorption surface with different energies and adsorption is in multilayers.
Table 1

Estimated isotherm parameters for NH4+ adsorption

Langmuir model
Freundlich model
Temkin model
qmbR2KnR2aBR2
61.89 0.11 0.9225 9.89 2.19 0.9907 3.99 9.36 0.9155 
Langmuir model
Freundlich model
Temkin model
qmbR2KnR2aBR2
61.89 0.11 0.9225 9.89 2.19 0.9907 3.99 9.36 0.9155 
Figure 4

The change of adsorption capacity as a function of equilibrium concentration.

Figure 4

The change of adsorption capacity as a function of equilibrium concentration.

Close modal

The adsorption of onto P(AA25/PSS75) is based on the electrostatic attraction between positively charged and negatively charged –COO and – groups. As the adsorbing material immersed in water, –COOH and –SO3H groups are dissociated to –COO and – groups, respectively, causing an increase of the adsorbing material dimensions because of increasing the repulsion force between the negatively charged carboxylate and sulfonate groups, which leads to the diffusion and trapping of ions within the polymeric networks due to the ionic attraction, such an explanation was showed by Zheng et al. (2012).

Effect of adsorbent dose on adsorption

The increase of adsorbent dose gave rise to a remarkable increase in the percentage of ammonium removal until the adsorbent dose reached 0.1; where a relative increase in ammonium removal percentage was observed as shown in Figure 5. One-way ANOVA test results showed statistically significant differences between means of ammonium removal percentages using different doses of adsorbent; the P-value recorded 4.56 × 10−17 with a confidence level of 0.05, Pearson correlation test results showed a positive correlation between the increase of adsorbent dose and the increase of ammonium removal percentages (R = 0.609277). Several studies investigated the effect of adsorbent dosage on ammonium removal; Saltalı et al. (2007) used successive increasing doses of zeolite and found that the removal efficiency of ions by the zeolite increased with increasing the amount of zeolite. In another study, Zhao et al. (2016) found that when the zeolite dosage increased from 0.5 to 25.0 g/L, the removal efficiency increased from 22.0 to 46.6%.
Figure 5

The effect of increasing adsorbent dose on the percentage of ammonium removal.

Figure 5

The effect of increasing adsorbent dose on the percentage of ammonium removal.

Close modal

Effect of sodium chloride as a competitive cation (Na+) on adsorption

The presence of sodium chloride (NaCl) in the adsorption system negatively affected the removal of ammonium. Figure 6 illustrates that increasing the concentration of sodium chloride from 10 to 5000 mg/L caused the removal percentage to drop from 91.17 to 2.43%. One-way ANOVA test results showed statistically significant differences between means of ammonium removal percentages with different concentrations of sodium chloride, P-value recorded 1.24 × 10−23 with confidence level 0.05; Pearson correlation test results showed a strong negative correlation between the increase of sodium chloride concentration and ammonium removal percentages (R = −0.74472), similar finding was given by Zheng et al. (2011).
Figure 6

The effect of different sodium chloride concentrations on the percentage of ammonium removal.

Figure 6

The effect of different sodium chloride concentrations on the percentage of ammonium removal.

Close modal

Effect of different PH values on adsorption

Conducting adsorption experiments with different pH values showed that pH 7 achieved the highest ammonium removal percentage (92.73), the subsequent increase of pH value negatively affected the adsorption process and caused ammonium removal percentages to drop markedly till reaching 57.37% with pH 10 as shown in Figure 7. One-way ANOVA test results showed statistically significant differences between means of ammonium removal percentages with different pH values, P-value recorded 1.11 × 10−19 with confidence level 0.05, Fisher's Least Significant Difference (LSD) test results showed that the significant differences between means of ammonium removal with different pH values were high when compared with the mean removal with pH 7 with LSD =0.085279. Different studies investigated the effect of pH on the adsorption capacity; Zheng et al. (2012) used chitosan grafted poly(acrylic acid) vermiculite composite for the removal of ammonium ion and reported that when pH was lowered to the strongly acid region or increased to the strongly basic region, a sudden decrease in the adsorption capacity was observed. Another study which supported the results of the current study was carried out by Zheng & Wang (2009) who used chitosan-g-poly(acrylic acid)/rectorite composite for the removal of ammonium and studied the effect of pH on the adsorption capacity; results showed that the adsorption capacity of hydrogel adsorbent remained constant between pH levels of 4–9 and when pH is lower than 4 and above 9, the adsorption capacity is decreased. Such effects of pH on the adsorption could be attributed to the dissociation constant (pKa) of poly(acrylic acid) which manifested that carboxyl groups within the polymeric networks are easily ionized above pH value 4.7 (Lee et al. 1999) allowing the rapid adsorption of ammonium ions. Within the strongly acid region, the ionized carboxylic groups (–COO) are converted to uncharged groups (–COOH) causing the electrostatic attraction between the adsorbate and the adsorbent to decrease leading to decreased adsorption capacity. On the other hand, at the strongly basic region, ammonium ions are neutralized by hydroxyl ions leading to the formation of uncharged ammonia (Karadag et al. 2008).
Figure 7

The effect of different pH values on the percentage of ammonium removal.

Figure 7

The effect of different pH values on the percentage of ammonium removal.

Close modal

Desorption and regeneration

Further experiments were conducted to determine the regeneration ability of P(AA25/PSS75) over multiple cycles. Figure 8 shows four different acids (nitric acid, sulfuric acid, methanesulfonic acid, and hydrochloric acid) which were used for determining the appropriate acid for the desorption experiment. Results showed that about 93% of can be desorbed by sulfuric acid when compared with desorption with other acids, one-way ANOVA test results showed statistically significant differences between means of ammonium desorption percentages with different acids used for adsorbent regeneration, P-value recorded 9.71 × 10−8 with confidence level 0.05, Fisher's Least Significant Difference (LSD) test results showed that the significant differences between means of ammonium desorption with different acids used for adsorbent regeneration were high when compared with the mean desorption with sulfuric acid with LSD = 0.526972. Different studies used various eluents for studying the regeneration ability of polymers used for ammonium removal; Zheng et al. (2009) used water, HCl, NaOH, and NaCl for the desorption and regeneration of chitosan-g-poly(acrylic acid)/attapulgite composite and found that HCl as well as NaOH achieved complete desorption. In a different study, Helminen & Paatero (2006) used different concentration of nitric acid for regeneration of sulfonated polystyrene grafted silica gel sorbent and found that ammonium can be eluted more rapidly using a strong mineral acid.
Figure 8

The reusability of the polymer P(AA25/PSS75) using four different acids as washing solutions.

Figure 8

The reusability of the polymer P(AA25/PSS75) using four different acids as washing solutions.

Close modal
The process of polymer regeneration is economically important for its impact on lowering the cost of using polymers, as a result of reusing polymer in the adsorption process for successive effective cycles after the process of extracting pollutants. Sulfuric acid was used in this study as an eluent for desorption for five cycles to test regeneration ability of P(AA25/PSS75) over multiple cycles, Figure 9 shows that ammonium removal percentages ranged between 93.5% at the first cycle and 92.17% at the fifth cycle which indicated a remarkable regeneration ability of the adsorbent over multiple cycles, on the same approach, Zheng et al. (2012) reported that NH4-N adsorbed on the composite hydrogel could be completely desorbed with 0.1 mol/L of NaOH solution within 10 min; moreover, no noticeable changes of adsorption capacity were observed after five cycles of desorption–adsorption process. Results of the present study and other related studies supported the possibility of polymer reusability for multiple successful adsorptions–desorption cycles.
Figure 9

The regeneration ability of the polymer P(AA25/PSS75) over multiple cycles using sulfuric acid as a washing solution.

Figure 9

The regeneration ability of the polymer P(AA25/PSS75) over multiple cycles using sulfuric acid as a washing solution.

Close modal

Comparing the adsorption capacity of NH4+ among different adsorbents

In order to compare the adsorption capacity of P(AA25/PSS75) with other adsorbents including zeolite and activated carbon (used in this study) and other adsorbents reported in the literature, the monolayer adsorption capacity (i.e., qm) calculated from Langmuir isotherm equation was applied, whereas the qm is an important element with regard to predicting the adsorption capacity of the adsorbent surface at equilibrium (as all the adsorption sites are saturated). Table 2 lists different adsorbents used for ammonium removal and related monolayer adsorption capacity, results showed a distinct adsorption capacity of polymer P(AA25/PSS75) when compared with other adsorbents; moreover, it also presented many advantages among other adsorbents such as the rapid adsorption rate, the high adsorption capacity, and the fast trapping of ions within the polymeric networks due to the strong ionic attraction.

Table 2

The adsorption capacity for with different adsorbents

ADSAdsorption conditions
qmReference
concentrationContact time
CTS-g-PAA/REC (10 wt%) 10–1000 30 min 123.8 Zheng et al. (2009)  
Activated carbon 35–280 2 h 11.57 Vassileva et al. (2009)  
Sepiolite 150–7000 6 h 25.49 Balci (2004)  
Volcanic tuff 20–300 3 h 13.64 Maranon et al. (2006)  
Zeolite 13X 5–400 30 min 8.61 Zheng et al. (2008)  
Mordenite 10–200 3 days 9.47 Weatherley & Miladinovic (2004)  
New Zealand clinoptilolite 10–200 3 days 6.58 Weatherley & Miladinovic (2004)  
Natural Turkish clinoptilolite 25–150 40 min 8.12 Karadag et al. (2006)  
Natural zeolite 5–120 8 h 6.3 Widiastuti et al. (2011)  
Zeolite 0–200 4 h 23.83 Lei et al. (2008)  
Clinoptilolite 11–115 1.5–2.5 h 1.74 Wang et al. (2006)  
PAA/BTb 10–2000 30 min 344.47 Zheng & Wang (2010)  
CTS-g-PAA/UVMT 25–1000 30 min 78.32 Zheng et al. (2012)  
Zeolite 5–100 30 min 20.99 This work 
Activated carbon 5–100 30 min 6.3 This work 
P(AA25/PSS75) 5–100 30 min 61.89 This work 
ADSAdsorption conditions
qmReference
concentrationContact time
CTS-g-PAA/REC (10 wt%) 10–1000 30 min 123.8 Zheng et al. (2009)  
Activated carbon 35–280 2 h 11.57 Vassileva et al. (2009)  
Sepiolite 150–7000 6 h 25.49 Balci (2004)  
Volcanic tuff 20–300 3 h 13.64 Maranon et al. (2006)  
Zeolite 13X 5–400 30 min 8.61 Zheng et al. (2008)  
Mordenite 10–200 3 days 9.47 Weatherley & Miladinovic (2004)  
New Zealand clinoptilolite 10–200 3 days 6.58 Weatherley & Miladinovic (2004)  
Natural Turkish clinoptilolite 25–150 40 min 8.12 Karadag et al. (2006)  
Natural zeolite 5–120 8 h 6.3 Widiastuti et al. (2011)  
Zeolite 0–200 4 h 23.83 Lei et al. (2008)  
Clinoptilolite 11–115 1.5–2.5 h 1.74 Wang et al. (2006)  
PAA/BTb 10–2000 30 min 344.47 Zheng & Wang (2010)  
CTS-g-PAA/UVMT 25–1000 30 min 78.32 Zheng et al. (2012)  
Zeolite 5–100 30 min 20.99 This work 
Activated carbon 5–100 30 min 6.3 This work 
P(AA25/PSS75) 5–100 30 min 61.89 This work 

Increased ammonia concentration in Nile River water represents a serious problem. A novel copolymer was used as an adsorbent for enhanced ammonium removal; four adsorbents of styrene–acrylic acid copolymers were prepared by conventional free radical polymerization followed by sulfonation of benzene group, the copolymer P(AA25/PSS75) achieved the highest ammonium adsorption capacity (55.8 mg/g) due to the electrostatic attraction between positively charged and negatively charged –COO and – groups which is increased with raising sulfonated styrene ratio alongside maintaining a ratio of carboxylate groups which increase the adsorbing material dimensions. Adsorption studies were performed for increasing the adsorption capacity of P(AA25/PSS75); the contact time experiment proved that the ammonium removal percentage reached 95.2 after 30 min, and the effect of pH showed that pH 7 achieved the highest adsorption capacity of P(AA25/PSS75) adsorbent and when pH is lowered than 5 and above 9, the adsorption capacity is extremely decreased. Three adsorption isotherm equations were applied; Langmuir, Freundlich, and Temkin models to study the adsorption mechanism, results indicated that Freundlich isotherm was the most suitable for fitting the experimental data which might expose the heterogeneity of the adsorbent surface and predicted the existence of multilayer coverage at the surface of the adsorbent. Reusability study of P(AA25/PSS75) adsorbent revealed that sulfuric acid was that prober eluent for regeneration which maintained polymer adsorption capability over five cycles.

All relevant data are included in the paper or its Supplementary Information.

The authors declare there is no conflict.

Adam
M. R.
,
Othman
M. H. D.
,
Samah
R. A.
,
Puteh
M. H.
,
Ismail
A. F.
,
Mustafa
A.
,
Rahman
M. A.
&
Jaafar
J.
2019
Current trends and future prospects of ammonia removal in wastewater: a comprehensive review on adsorptive membrane development
.
Separation and Purification Technology
213
,
114
132
.
Castagna
A. M.
,
Wang
W.
,
Winey
K. I.
&
Runt
J.
2010
Influence of the degree of sulfonation on the structure and dynamics of sulfonated polystyrene copolymers
.
Macromolecules
43
(
24
),
10498
10504
.
Cheung
W. H.
,
Szeto
Y. S.
&
McKay
G.
2009
Enhancing the adsorption capacities of acid dyes by chitosan nano particles
.
Bioresource Technology
100
(
3
),
1143
1148
.
Cruz
H.
,
Luckman
P.
,
Seviour
T.
,
Verstraete
W.
,
Laycock
B.
&
Pikaar
I.
2018
Rapid removal of ammonium from domestic wastewater using polymer hydrogels
.
Scientific Reports
8
(
1
),
1
6
.
Dada
A. O.
,
Olalekan
A. P.
,
Olatunya
A. M.
&
Dada
O.
2012
Langmuir, Freundlich, Temkin and Dubinin–Radushkevich isotherms studies of equilibrium sorption of Zn2+ unto phosphoric acid modified rice husk
.
IOSR Journal of Applied Chemistry
3
(
1
),
38
45
.
El Qada
E. N.
,
Allen
S. J.
&
Walker
G. M.
2008
Adsorption of basic dyes from aqueous solution onto activated carbons
.
Chemical Engineering Journal
135
(
3
),
174
184
.
Fathy
M.
,
Moghny
T. A.
,
Awadallah
A. E.
&
El-Bellihi
A. H. A.
2013
Nano composites of polystyrene divinylbenzene resin based on oxidized multi-walled carbon nanotubes
.
International Journal of Modern Organic Chemistry
2
(
1
),
67
80
.
Freedman
D.
,
Pisani
R.
&
Purves
R.
,
2007
Statistics (International Student Edition)
, 4th edn. (
Pisani
R. P.
, ed.).
WW Norton & Company
,
New York
.
Gad
W. A.
2017
Bioremediation of pollutant-contaminated water
.
Journal of Water Supply: Research and Technology – AQUA
66
(
7
),
537
555
.
Girden
E. R.
1992
ANOVA: Repeated measures
(Sage University Paper series on Quantitative Applications in the Social Sciences, series no. 07-084). Sage, Newbury Park, CA.
Helminen
J.
&
Paatero
E.
2006
Ammonium removal from aqueous solutions using sulfonated polystyrene grafted silica gel sorbent
.
Separation Science and Technology
41
(
06
),
1043
1059
.
Ismail
O.
,
Beyribey
B.
&
Turhan
K.
2011
Removal of water in liquid fuel with a super absorbent copolymer
.
Energy Sources, Part A: Recovery, Utilization, and Environmental Effects
33
(
18
),
1669
1677
.
Jeong
H.
,
Park
J.
&
Kim
H.
2013
Determination of NH4+ in environmental water with interfering substances using the modified Nessler method
.
Journal of Chemistry
2013
,
1
9
.
Karadag
D.
,
Koc
Y.
,
Turan
M.
&
Armagan
B.
2006
Removal of ammonium ion from aqueous solution using natural Turkish clinoptilolite
.
Journal of Hazardous Materials
136
(
3
),
604
609
.
Karadag
D.
,
Tok
S.
,
Akgul
E.
,
Turan
M.
,
Ozturk
M.
&
Demir
A.
2008
Ammonium removal from sanitary landfill leachate using natural Gördes clinoptilolite
.
Journal of Hazardous Materials
153
(
1–2
),
60
66
.
Korkisch
J.
&
Worsfold
P. J.
1990
Handbook of Ion Exchange Resins: Their Application to Inorganic Analytical Chemistry: Volume 1
.
CRC Press
,
Boca Raton, FL
, p.
301
.
1989 (ISBN 0-8493-3191-9). Price£ 100.50
.
Lei
L.
,
Li
X.
&
Zhang
X.
2008
Ammonium removal from aqueous solutions using microwave-treated natural Chinese zeolite
.
Separation and Purification Technology
58
(
3
),
359
366
.
León-Bermúdez
A. Y.
&
Salazar
R.
2008
Synthesis and characterization of the polystyrene-asphaltene graft copolymer by FT-IR spectroscopy
.
CT&F-Ciencia, Tecnología Y Futuro
3
(
4
),
157
167
.
Maranon
E.
,
Ulmanu
M.
,
Fernandez
Y.
,
Anger
I.
&
Castrillón
L.
2006
Removal of ammonium from aqueous solutions with volcanic tuff
.
Journal of Hazardous Materials
137
(
3
),
1402
1409
.
Martins
C. R.
,
Ruggeri
G.
&
De Paoli
M. A.
2003
Synthesis in pilot plant scale and physical properties of sulfonated polystyrene
.
Journal of the Brazilian Chemical Society
14
,
797
802
.
Mente
P.
,
Phaahlamohlaka
T. N.
,
Mashindi
V.
&
Coville
N. J.
2021
Polystyrene-b-poly (acrylic acid) nanospheres for the synthesis of size-controlled cobalt nanoparticles encapsulated inside hollow carbon spheres
.
Journal of Materials Science
56
(
3
),
2113
2128
.
Ringot
D.
,
Lerzy
B.
,
Chaplain
K.
,
Bonhoure
J. P.
,
Auclair
E.
&
Larondelle
Y.
2007
In vitro biosorption of ochratoxin A on the yeast industry by-products: comparison of isotherm models
.
Bioresource Technology
98
(
9
),
1812
1821
.
Rožić
M.
,
Cerjan-Stefanović
Š.
,
Kurajica
S.
,
Vančina
V.
&
Hodžić
E.
2000
Ammoniacal nitrogen removal from water by treatment with clays and zeolites
.
Water Research
34
(
14
),
3675
3681
.
Sánchez
L.
,
Sánchez
P.
,
de Lucas
A.
,
Carmona
M.
&
Rodríguez
J. F.
2007
Microencapsulation of PCMs with a polystyrene shell
.
Colloid and Polymer Science
285
(
12
),
1377
1385
.
Sawyer
J.
2008
Surface waters: ammonium is not ammonia
.
Integrated Crop Management News, Iowa State University
4
,
21
.
Shahbeig
H.
,
Bagheri
N.
,
Ghorbanian
S. A.
,
Hallajisani
A.
&
Poorkarimi
S.
2013
A new adsorption isotherm model of aqueous solutions on granular activated carbon
.
World Journal of Modelling and Simulation
9
(
4
),
243
254
.
Shao-feng
N.
,
Yong
L.
,
Xin-Hua
X. U.
&
Zhang-hua
L.
2005
Removal of hexavalent chromium from aqueous solution by iron nanoparticles
.
Journal of Zhejiang University Science B
6
(
10
),
1022
1027
.
Stepniewska
Z.
,
Bucior
K.
&
Bennicelli
R. P.
2004
The effects of MnO2 on sorption and oxidation of Cr (III) by soils
.
Geoderma
122
(
2–4
),
291
296
.
Wang
Y.
,
Liu
S.
,
Xu
Z.
,
Han
T.
,
Chuan
S.
&
Zhu
T.
2006
Ammonia removal from leachate solution using natural Chinese clinoptilolite
.
Journal of Hazardous Materials
136
(
3
),
735
740
.
Widiastuti
N.
,
Wu
H.
,
Ang
H. M.
&
Zhang
D.
2011
Removal of ammonium from greywater using natural zeolite
.
Desalination
277
(
1–3
),
15
23
.
Williams
L. J.
&
Abdi
H.
2010
Fisher's least significant difference (LSD) test
.
Encyclopedia of Research Design
218
,
840
853
.
Zhao
Y.
,
Niu
Y.
,
Hu
X.
,
Xi
B.
,
Peng
X.
,
Liu
W.
&
Wang
L.
2016
Removal of ammonium ions from aqueous solutions using zeolite synthesized from red mud
.
Desalination and Water Treatment
57
(
10
),
4720
4731
.
Zheng
Y.
&
Wang
A.
2009
Evaluation of ammonium removal using a chitosan-g-poly (acrylic acid)/rectorite hydrogel composite
.
Journal of Hazardous Materials
171
(
1–3
),
671
677
.
Zheng
Y.
&
Wang
A.
2010
Preparation and ammonium adsorption properties of biotite-based hydrogel composites
.
Industrial & Engineering Chemistry Research
49
(
13
),
6034
6041
.
Zheng
H.
,
Han
L.
,
Ma
H.
,
Zheng
Y.
,
Zhang
H.
,
Liu
D.
&
Liang
S.
2008
Adsorption characteristics of ammonium ion by zeolite 13X
.
Journal of Hazardous Materials
158
(
2–3
),
577
584
.
Zheng
Y.
,
Zhang
J.
&
Wang
A.
2009
Fast removal of ammonium nitrogen from aqueous solution using chitosan-g-poly (acrylic acid)/attapulgite composite
.
Chemical Engineering Journal
155
(
1–2
),
215
222
.
Zheng
Y.
,
Liu
Y.
&
Wang
A.
2011
Fast removal of ammonium ion using a hydrogel optimized with response surface methodology
.
Chemical Engineering Journal
171
(3),
1201
1208
.
This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits copying, adaptation and redistribution, provided the original work is properly cited (http://creativecommons.org/licenses/by/4.0/).