ABSTRACT
Environmental water sources are under increasing threat due to the addition of harmful chemicals not addressed by conventional water treatment processes. To work on this concern, the current study aimed to synthesize sono-assisted Fe-modified activated carbon-chitosan (FeAcC) composite and construct a laboratory-scale ozone-integrated fluidized bed reactor (FBR) to eliminate phenolphthalein (php). Following 120 min of incubation, the adsorbent demonstrated a 27.28 mg g−1 of php adsorption capacity at pH 4 with 0.5 g L−1 of adsorbent dosage. The adsorption efficacy and mechanism were defined using isotherm and kinetic models. The study investigated the impact of different factors including, initial concentration, reuse of FeAcC, recirculation flow rate, and hydraulic retention time (HRT), on the efficiency of php removal. The optimum removal efficiency was observed at approximately 95% after 20 min of operation at 1.5 L min−1 recirculation flow rate (batch FBR) and 70 min of HRT (continuous FBR) under 400 mg h−1 ozonation rate. Experimental parameters were optimized using response surface methodology (RSM) with central composite design (CCD) to improve php removal. The large-scale implementation of the findings in the future can be a step for adding new technology for clean water treatment processes for emerging toxic pollutants.
HIGHLIGHTS
Sono-assisted synthesis of Fe-modified activated carbon–chitosan composite for adsorption of phenolphthalein was aimed for in this study.
A laboratory-scaled advanced oxidation-integrated fluidized bed reactor was designed.
The combination of adsorption and oxidation enhanced the removal rate (≈95%) of phenolphthalein.
Response surface methodology was used to experimentally design the optimal experimental condition.
INTRODUCTION
The rapid growth of chemical industries and research laboratories around the globe has led to the increased production and discharge of organic pollutants, posing a substantial risk to the environment. The most concerning compounds are the phenolic compounds (phenol, bisphenol-A (BPA), 4-nonylphenol, chlorophenols, phenolphthalein (php), and octylphenols), which show an adverse impact on all living beings and the environment (Panigrahy et al. 2022). Due to the organoleptic characteristics of phenolic compounds, they are hazardous to aquatic species at concentrations as low as parts per billion. Direct contact and consumption of those compounds may cause liver, eye, skin, muscle, and kidney damage (Udoetok et al. 2016). The most widely utilized phenolic substance is php, disrupting the endocrine system in both humans and animals. It was found that php, an active component of several laxatives, causes cancer in animals across various species (Longnecker et al. 1997). As a result, it is essential to remove organic contaminants efficiently using an affordable technique.
Organic contaminants from aqueous solutions can be removed by a variety of conventional techniques, including biological degradation (Cirik et al. 2013), chemical adsorption (Heydari et al. 2021), electrochemical oxidation (Garciá-Orozco et al. 2016), oxidation (Malik et al. 2019), ion-exchange (Edgar & Boyer 2021), reverse osmosis (Jamil et al. 2020), coagulation, flocculation, and sedimentation (Matilainen et al. 2010). However, these methods might be challenging due to some limitations, including secondary byproducts, being more time-consuming (biological method), high installation costs, improper disposal facility and selective ion-exchange resin (ion-exchange), fouling of membrane and high pressure (reverse osmosis), and toxic chemical utilization (coagulation) (Italiya & Subramanian 2022). Advanced oxidation processes (AOPs) have substantially impacted the effective elimination of harmful phenolic compounds. This is attributed to the generation of hydroxyl radicals (·OH), which oxidize these phenolic compounds (Malik et al. 2019). The adsorption mechanism of the adsorbent material depends on its surface charge and physical properties, which could be significantly altered when it undergoes oxidation (Álvarez et al. 2005). Several published studies have discussed the use of advanced oxidation and adsorption for the elimination of phenolic organic pollutants, such as gallic acid, 17β-estradiol, BPA, phenol, p-chlorophenol, and p-nitrophenol (Álvarez et al. 2005; Irmak et al. 2005; Fan et al. 2019; Lu et al. 2022). The most efficient approach for eliminating organic contaminants is using a fluidized bed reactor (FBR) with enhanced oxidation and adsorption.
The most significant concern in removing toxic php from polluted waterways is to find affordable, flexible, and efficient adsorbent materials. There are numerous adsorbent materials including cobalt–aluminum-layered double oxide (Tongchoo et al. 2020), multi-walled carbon nanotube (Vadi & Namavar 2013), β-cyclodextrin–chitosan (Tang et al. 2019), strontium ferrite (Adewuyi et al. 2021), and tetraethylammonium–kaolinite clay (Adewuyi & Oderinde 2022) that show the adsorptive removal of php. Adsorption of pollutants on chitosan and carbon is limited due to the small surface area and weak mechanical strength. Hence, cross-linking and ultrasound were studied and reported to enhance the cavitation, surface area, and mechanical robustness of the adsorbent material (Italiya et al. 2024). Furthermore, the modification of Fe on chitosan forms a stable composite through complexation and electrostatic interaction. This modification enhances the mechanical durability of chitosan, surface net charge, and hydrophilic–hydrophobic properties alteration and imparts resistance to both acidic and basic conditions (Hu et al. 2016b; Zhang et al. 2018). Thus, phenolic compounds, other organic contaminants, and persistent organic pollutants can be eliminated using modified chitosan and carbon materials (Yazdi et al. 2019). Adsorption with a FBR intimates contact between adsorbate and adsorbent through high mass transfer and rate of reaction with less residence time (Mohapatra et al. 2021). The uniform distribution of adsorbents due to fluidization leads to the adsorption of small quantities of pollutants from an aqueous media (Kalaruban et al. 2016). Adsorption with ozonation and FBR is the most promising substitute method for treating organic pollutants that produce oxygen as a byproduct without producing sludge (Cirik et al. 2013; Italiya & Subramanian 2022).
This research aims to synthesize a sono-assisted Fe-modified activated carbon (Ac)–chitosan (FeAcC) composite to remove php from aqueous solutions. The composite material was characterized using field emission-scanning electron microscopy (FE-SEM), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), and Brunauer–Emmett–Teller (BET) surface analysis. In the study, the FeAcC demonstrated its efficacy in the batch process for removing php under different conditions, such as pH, initial php concentration, time, and adsorbent dosage. The parameters for isotherm, kinetic, and thermodynamic studies were obtained using the data from the adsorption study. The reactor studies were conducted using an advanced ozone-integrated FBR in the batch and continuous modes of operation. The batch FBR study was carried out with various initial php concentration, flow rate, time, and FeAcC reuse. The continuous FBR study was investigated using the different hydraulic retention times (HRTs). Response surface methodology (RSM) was used to design the optimum experimental condition.
MATERIALS AND METHODS
Chemicals
Chitosan (C56H103N9O39, 99.90%), glutaraldehyde ((CH2)3(CHO)2, 98%), and sodium tripolyphosphate (NaTPP, Na5P3O10, 99.99%) were purchased from Sigma Aldrich, India. Phenolphthalein (C20H14O4, 99%), ethanol (CH3CH2OH, 99.99%), charcoal, and ferric chloride hexahydrate (FeCl3·6H2O, 98%) were purchased from SRL Chemical Pvt. Ltd. Sodium hydroxide (NaOH) and hydrochloric acid (HCl) with 0.1M concentration were used to adjust the pH of the solution. The stock solution of php was prepared using an ethanol solution.
Synthesis of sono-assisted FeAcC composite material
Characterization of FeAcC composite
FE-SEM was used to study composites' surface structural morphology at various magnifications (Thermo Fisher FEI-Quanta 250 FEG). The crystalline properties of the composite were examined with 2Ɵ range from 10 to 90° using XRD (Bruker D8 advance model). FTIR with a spectral range from 400 to 4,000 cm−1 was used to determine the presence of functional groups on the surface of FeAcC (IRAffinity-1, Shimadzu, Japan). The specific surface area, volume, and size of the pores of the composite were measured under desorption and adsorption of nitrogen gas using a BET surface analyzer (Quantachrome, USA). Before and after treatment, the php concentration was measured using a UV-vis spectrophotometer (Specord 210 plus).
Batch adsorption study
The 20 mg L−1 of php stock solution was prepared to study its adsorption on FeAcC. Since php is known to be poorly soluble in water, ethanol was used to prepare a stock solution and it was diluted using distilled water to adjust the specific concentration. The various parameters including FeAcC dosage (0.1–1 g L−1), pH (3–12), the initial php concentration (5–25 mg L−1), and various reaction times (15–150 min) were followed by a temperature range between 303 and 323 K to determine the optimum condition for php removal. The final concentration of php after adsorption was measured at 552 nm absorbance wavelength by a UV-vis spectrophotometer (Dehabadi et al. 2014). To comprehend the repulsive and attractive mechanism, the FeAcC point zero surface charge (pHzpc) was ascertained using this pH drift method (Italiya et al. 2024). For pHzpc determination, 0.5 g of FeAcC was added to 25 mL of NaCl (0.01M) solution that encompassed a range of pH values (3–12) (Cotman et al. 2016). NaCl was employed as a background electrolyte for the measurement of pHzpc. In aqueous environments, Na+ and Cl− ions are rather inert toward the surface of composite materials. The electrolytes' monovalent interaction with FeAcC results in an increase in surface thickness and a limitation on the mobility of H+. That H+ limitation helps in the determination of pHzpc (Kollannur & Arnepalli 2019).
Advanced oxidation-integrated FBR operation
(a) Laboratory-scaled experimental setup of FBR and (b) schematic representation of FBR.
(a) Laboratory-scaled experimental setup of FBR and (b) schematic representation of FBR.
Experimental design using RSM






Levels of independent variables and experimental ranges
Sr. No. . | Variable . | Unit . | −α . | −1 . | 0 . | +1 . | +α . |
---|---|---|---|---|---|---|---|
A | Time | min | −7.54 | 2 | 16 | 30 | 39.54 |
B | Flowrate | L min−1 | −0.18 | 0.5 | 1.5 | 2.5 | 3.18 |
C | Initial concentration | mg L−1 | −1.82 | 5 | 15 | 25 | 31.82 |
Sr. No. . | Variable . | Unit . | −α . | −1 . | 0 . | +1 . | +α . |
---|---|---|---|---|---|---|---|
A | Time | min | −7.54 | 2 | 16 | 30 | 39.54 |
B | Flowrate | L min−1 | −0.18 | 0.5 | 1.5 | 2.5 | 3.18 |
C | Initial concentration | mg L−1 | −1.82 | 5 | 15 | 25 | 31.82 |
RESULTS AND DISCUSSION
Composite characterization
FE-SEM and specific surface area analysis
FE-SEM image of FeAcC composite ((a) magnification: 160 × , (b) magnification: 5,000 × , and (c) magnification: 10,000×) before adsorption and ((d) magnification: 5,000× and (e) magnification: 10,000×) after adsorption; (f) nitrogen adsorption and desorption isotherm.
FE-SEM image of FeAcC composite ((a) magnification: 160 × , (b) magnification: 5,000 × , and (c) magnification: 10,000×) before adsorption and ((d) magnification: 5,000× and (e) magnification: 10,000×) after adsorption; (f) nitrogen adsorption and desorption isotherm.
XRD analysis
(a) XRD patterns and (b) FTIR spectra of FeAcC before and after adsorption.
FTIR analysis
FTIR was used to assess the properties of functional groups present in FeAcC. Figure 4(b) provides FTIR spectra of synthesized FeAcC before and after adsorption of php. The strong and broad spectrum near 3,310 cm−1 ascribed the intermolecular hydrogen bonding and vibrational stretching of the amine (N–H) and hydroxyl (–OH) group. The coordination of Fe+3 with hydroxyl and amino groups was suggested by the redshift observed for the FeAcC complex, which resulted in a reduction in hydrogen bonding ability (Eltaweil et al. 2021a). The symmetric and asymmetric vibrational stretching of C–H of methylene and methyl groups are proposed to occur at 2,921 and 2,852 cm−1, respectively (Hu et al. 2016b). The protonation of the amino group of the NHCOCH3 and NH2 was responsible for the appearance of bands near 2,337 and 2,363 cm−1 (Hu et al. 2015). The acetylated amino group of chitosan with C = O vibrational stretching in NH = C = O was represented by an infrared peak at 1,648 cm−1 (Mohammadi et al. 2019). The symmetric C–H vibrational stretching and primary alcohol's stretching vibration C–O are the respective adsorption bands located near 1,384 and 1,085 cm−1. After adsorption, the band at 2,360 cm−1 disappeared as a result of dipole interaction, indicating a reaction between php and protonated amino group of chitosan (Yuan et al. 2008).
Batch adsorption study
Effect of pH on adsorption
(a) Effect of pH on adsorption capacity; (b) effect of time and initial concentration on adsorption capacity and (c) percentage removal; (d) effect of adsorbent dosage on adsorption capacity and percentage removal.
(a) Effect of pH on adsorption capacity; (b) effect of time and initial concentration on adsorption capacity and (c) percentage removal; (d) effect of adsorbent dosage on adsorption capacity and percentage removal.
Plots of (a) Langmuir, (b) Freundlich, and (c) Temkin isotherms; (d) pseudo-first-order, (e) pseudo-second-order, (f) intraparticle diffusion, and (g) van't Hoff plot thermodynamics.
Plots of (a) Langmuir, (b) Freundlich, and (c) Temkin isotherms; (d) pseudo-first-order, (e) pseudo-second-order, (f) intraparticle diffusion, and (g) van't Hoff plot thermodynamics.
Complete php removal mechanism: (a) ozone decomposition, (b) electrostatic attraction, (c) dipole–dipole H-bond, (d) surface complexation, (e) n–π interaction, (f) π–π stacking, and (g) Yoshida's H-bond.
Complete php removal mechanism: (a) ozone decomposition, (b) electrostatic attraction, (c) dipole–dipole H-bond, (d) surface complexation, (e) n–π interaction, (f) π–π stacking, and (g) Yoshida's H-bond.
Effect of contact time and initial concentration
The contact time and initial php concentration are important parameters that influence the adsorption study. By varying the contact time from 15 to 150 min and initial concentration from 5 to 25 mg L−1, the sorption of php was investigated. As depicted in Figure 5(b), the removal of php was initially rapid during the beginning of adsorption, but the rate gradually decreased as it approached equilibrium. The adsorption capacity was enhanced by increasing the initial php concentration due to adequate and stable free sites on the FeAcC that interact with low concentrations of php (Yu et al. 2022). The adsorption rate was decreased because of intense competition between php molecules to bind to the surface of FeAcC, which eventually approached saturation by increasing the initial php concentration (Figure 5(c)) (Tang et al. 2019). All of the free active sites were engaged quickly by php at the highest degree of adsorption, which increased the repulsion and reduced the php removal (Adewuyi et al. 2021). The increased mass gradient of php with increasing php concentration works as a driving force to accelerate the php molecules' movement toward the FeAcC (Hu et al. 2016b). The adsorption capacity was found to be 29.46 mg g−1 at the highest initial php concentration (Figure 5(b)). It was found that ≈98% of php was removed for the lowest php concentration at 120 min of reaction time, and after that, there was no drastic change in adsorption (Figure 5(c)). Furthermore, the effect of only ozonation was carried out to remove various concentrations of php (5–25 mg L−1) from an aqueous solution. The maximum removal of php was found to be ≈40% at 45 min for 20 mg L−1 php concentration. There was no significant difference in the removal of php after 20 min of reaction time. The removal of php for all concentrations has been depicted in Supplementary material S1.
Effect of adsorbent dosage
The different FeAcC dosages (0.1–1 g L−1) were tested to determine the ideal quantity of adsorbent for effective php removal (Figure 5(d)). It was observed that the adsorption rate of php was increasing with increasing dose of adsorbent due to the increment of available active sites on the surface of the adsorbent (Eltaweil et al. 2021a). Meanwhile, the adsorption capacity was decreased with increasing the adsorbent dose, because of php aggregation and unsaturation of active sites (Ghadiri et al. 2017). There was a slight increment in the percentage of php adsorption after 0.5 g L−1 of adsorbent dose. Therefore, 0.5 g L−1 adsorbent dose was considered as an optimum dose for the php removal studies.
Adsorption isotherm
Using different concentrations of php ranging from 5 to 25 mg L−1 at pH 4, the adsorption by FeAcC was analyzed at regular intervals to determine the equilibrium point. The residual concentrations of php were examined by collecting the final volume after adsorption at the equilibrium level. Reliable experiment design and the relationship between adsorbate and adsorbent were determined at various temperatures (303–323 K) by adsorption isotherms, including Langmuir, Freundlich, and Temkin models (Mohammadi et al. 2019).














All the values of isotherm parameters are displayed in Table 2. The regression coefficient (R2) values of the Langmuir model at 303, 313, and 323 K are 0.99, 0.99, and 0.99, which show better results in comparison to the Freundlich (0.98, 0.90, and 0.97) and Temkin models (0.96, 0.97, and 0.99), respectively. The results demonstrated that the Langmuir isotherm model was perfectly fit for the php adsorption by FeAcC. The favorable adsorption conditions were represented by the RL values, which ranged from 0 to 1 at different temperatures (Table 2). The Langmuir isotherm parameters indicated that the maximum adsorption capacity () was found to be 25.18 mg g−1 at 323 K. The values of adsorption intensity (1/n) and separation factor (RL) between 0 and 1 suggested the favorable php adsorption condition on the FeAcC surface (Hu et al. 2015; Aswin Kumar & Viswanathan 2018). In this study, it was noted that the adsorption capacity of the FeAcC composite diminished as the temperature increased, which is attributed to the physical adsorption process (Cheah et al. 2013).
Parameters of Langmuir, Freundlich, and Temkin isotherms
Isotherms . | Factors . | Temperature (K) . | ||
---|---|---|---|---|
303 . | 313 . | 323 . | ||
Langmuir | ![]() | 6.28 | 12.15 | 25.18 |
![]() | 5.70 | 2.73 | 1.26 | |
![]() | 0.08 | 0.15 | 0.28 | |
![]() | 0.99 | 0.99 | 0.99 | |
Freundlich | ![]() | 0.57 | 0.48 | 0.34 |
![]() | 6.22 | 9.29 | 13.69 | |
![]() | 0.98 | 0.90 | 0.97 | |
Temkin | bT | 8.12 | 7.60 | 9.14 |
![]() | 0.49 | 1.18 | 2.70 | |
![]() | 0.96 | 0.97 | 0.99 |
Isotherms . | Factors . | Temperature (K) . | ||
---|---|---|---|---|
303 . | 313 . | 323 . | ||
Langmuir | ![]() | 6.28 | 12.15 | 25.18 |
![]() | 5.70 | 2.73 | 1.26 | |
![]() | 0.08 | 0.15 | 0.28 | |
![]() | 0.99 | 0.99 | 0.99 | |
Freundlich | ![]() | 0.57 | 0.48 | 0.34 |
![]() | 6.22 | 9.29 | 13.69 | |
![]() | 0.98 | 0.90 | 0.97 | |
Temkin | bT | 8.12 | 7.60 | 9.14 |
![]() | 0.49 | 1.18 | 2.70 | |
![]() | 0.96 | 0.97 | 0.99 |
Kinetic study






Table 3 lists the different kinetic parameters along with their corresponding R2 and constant values. Figure 6(d)–6(f) represents the plots of pseudo-first-order, pseudo-second-order, and intraparticle diffusion models, respectively. Compared to the pseudo-first-order kinetics and intraparticle diffusion models, the pseudo-second-order model fits the data most accurately, as shown by their R2 values. Furthermore, the calculated values appear to be almost close to the experimental
values, suggesting the suitability of a pseudo-second-order model for php adsorption. The chemisorption mechanism of php adsorption on the surface of FeAcC was suggested by the decreasing
values with increasing initial php concentration (Eltaweil et al. 2021b). The occurrence of php adsorption during chemisorption is facilitated by the exchange of electrons under the influence of valence forces (Cheah et al. 2013). Based on the kinetic study, the php adsorption rate was dependent upon available reactive binding sites and porosity of the FeAcC (Italiya et al. 2022).
Kinetic parameters for adsorption of php by FeAcC
![]() | 5 . | 10 . | 15 . | 20 . | 25 . | |
---|---|---|---|---|---|---|
![]() | 9.25 | 16.97 | 22.69 | 25.48 | 29.47 | |
Pseudo-first-order | ![]() | 9.16 | 14.83 | 16.76 | 22.24 | 26.60 |
![]() | 2.43 × 10−4 | 2.34 × 10−4 | 4.02 × 10−4 | 2.50 × 10−4 | 2.20 × 10−4 | |
R2 | 0.70 | 0.71 | 0.51 | 0.81 | 0.96 | |
Pseudo-second-order | ![]() | 11.30 | 16.45 | 21.59 | 25.65 | 28.12 |
![]() | 2.10 × 10−3 | 1.07 × 10−3 | 1.40 × 10−3 | 9.11 × 10−4 | 5.29 × 10−4 | |
R2 | 0.97 | 0.98 | 0.96 | 0.95 | 0.98 | |
Intraparticle diffusion | ![]() | 0.74 | 1.39 | 1.55 | 1.99 | 1.88 |
R2 | 0.90 | 0.88 | 0.94 | 0.95 | 0.98 |
![]() | 5 . | 10 . | 15 . | 20 . | 25 . | |
---|---|---|---|---|---|---|
![]() | 9.25 | 16.97 | 22.69 | 25.48 | 29.47 | |
Pseudo-first-order | ![]() | 9.16 | 14.83 | 16.76 | 22.24 | 26.60 |
![]() | 2.43 × 10−4 | 2.34 × 10−4 | 4.02 × 10−4 | 2.50 × 10−4 | 2.20 × 10−4 | |
R2 | 0.70 | 0.71 | 0.51 | 0.81 | 0.96 | |
Pseudo-second-order | ![]() | 11.30 | 16.45 | 21.59 | 25.65 | 28.12 |
![]() | 2.10 × 10−3 | 1.07 × 10−3 | 1.40 × 10−3 | 9.11 × 10−4 | 5.29 × 10−4 | |
R2 | 0.97 | 0.98 | 0.96 | 0.95 | 0.98 | |
Intraparticle diffusion | ![]() | 0.74 | 1.39 | 1.55 | 1.99 | 1.88 |
R2 | 0.90 | 0.88 | 0.94 | 0.95 | 0.98 |
Thermodynamic study

The R2 value (0.99) was calculated using the Van't Hoff plot (ln k vs 1/T) (Figure 6(g)). Adsorption appeared to be spontaneous and thermodynamically feasible, as indicated by the negative ΔG° (Supplementary material S2). Furthermore, the high temperature was shown to be more favorable for the adsorption of php, as seen by a rise in negative ΔG° with temperature. The increasing randomness at the solution/solid interface following the adsorption of php was confirmed by the positive value of ΔS° (46.96 kJ K−1 mol−1). The positive value of ΔH° (11.78 kJ mol−1) indicated the endothermic nature of the php adsorption process.
Comparison study
Table 4(a) and 4(b) display the comparative adsorption capacity of FeAcC with various php initial concentrations and removal of other organic compounds using an ozone-integrated reactor study, respectively. Concerning the small dose and surface area of FeAcC and low ozonation rate, the php removal capacity and rate were high in comparison to other composites listed in Table 4.
Comparative study of (a) php adsorption capacity with synthesized FeAcC and (b) other organic pollutant removal study using ozone-integrated reactor study
(a) Removal of php by adsorption mechanism . | |||||
---|---|---|---|---|---|
Sr. No. . | Adsorbent material . | Adsorption capacity . | References . | ||
1 | Cobalt/aluminum-layered double oxide | 22.6 | Tongchoo et al. (2020) | ||
2 | Cobalt/aluminum-layered double hydroxide | 8.0 | |||
3 | Tetraethylammonium/kaolinite clay | 43 | Adewuyi & Oderinde (2022) | ||
4 | Supramolecular recognized polyvinylidene fluoride/polyvinyl alcohol | – | Lu et al. (2022) | ||
5 | β-cyclodextrin/polystyrene fibers | 7.09 | Uyar et al. (2009) | ||
6 | Strontium ferrite | 7.40 | Adewuyi et al. (2021) | ||
7 | Polyvinylidene difluoride | – | Guo et al. (2023) | ||
8 | β-cyclodextrin/chitosan | 0.724 | Tang et al. (2019) | ||
9 | β-cyclodextrin/carbon/cobalt nanomagnet | 2.0 | Fuhrer et al. (2011) | ||
10 | β-cyclodextrin/polyurethanes | 3.97 | Mohamed et al. (2011) | ||
11 | Polyvinylidene fluoride/polystyrene/polydopamine-24/β-cyclodextrin | 19.24 | Gao et al. (2019) | ||
12 | Polyvinylidene fluoride/polystyrene/polydopamine-12/β-cyclodextrin | 15.23 | |||
13 | β-cyclodextrin/polyurethanes (1,6-hexamethylene diisocyanate) | 19.2 | Mohamed & Wilson (2015) | ||
14 | β-cyclodextrin/polyurethanes (4,4-dicyclohexylmethane diisocyanate) | 3.13 | |||
15 | β-cyclodextrin/polyurethanes (4,4-diphenylmethane diisocyanate) | 14.7 | |||
16 | β-cyclodextrin/polyurethanes (1,4-phenylene diisocyanate) | 2.17 | |||
17 | FeAcC | 25.18 | Present study |
(a) Removal of php by adsorption mechanism . | |||||
---|---|---|---|---|---|
Sr. No. . | Adsorbent material . | Adsorption capacity . | References . | ||
1 | Cobalt/aluminum-layered double oxide | 22.6 | Tongchoo et al. (2020) | ||
2 | Cobalt/aluminum-layered double hydroxide | 8.0 | |||
3 | Tetraethylammonium/kaolinite clay | 43 | Adewuyi & Oderinde (2022) | ||
4 | Supramolecular recognized polyvinylidene fluoride/polyvinyl alcohol | – | Lu et al. (2022) | ||
5 | β-cyclodextrin/polystyrene fibers | 7.09 | Uyar et al. (2009) | ||
6 | Strontium ferrite | 7.40 | Adewuyi et al. (2021) | ||
7 | Polyvinylidene difluoride | – | Guo et al. (2023) | ||
8 | β-cyclodextrin/chitosan | 0.724 | Tang et al. (2019) | ||
9 | β-cyclodextrin/carbon/cobalt nanomagnet | 2.0 | Fuhrer et al. (2011) | ||
10 | β-cyclodextrin/polyurethanes | 3.97 | Mohamed et al. (2011) | ||
11 | Polyvinylidene fluoride/polystyrene/polydopamine-24/β-cyclodextrin | 19.24 | Gao et al. (2019) | ||
12 | Polyvinylidene fluoride/polystyrene/polydopamine-12/β-cyclodextrin | 15.23 | |||
13 | β-cyclodextrin/polyurethanes (1,6-hexamethylene diisocyanate) | 19.2 | Mohamed & Wilson (2015) | ||
14 | β-cyclodextrin/polyurethanes (4,4-dicyclohexylmethane diisocyanate) | 3.13 | |||
15 | β-cyclodextrin/polyurethanes (4,4-diphenylmethane diisocyanate) | 14.7 | |||
16 | β-cyclodextrin/polyurethanes (1,4-phenylene diisocyanate) | 2.17 | |||
17 | FeAcC | 25.18 | Present study |
(b) Removal of organic compounds by ozonation and reactor study . | |||||
---|---|---|---|---|---|
Sr. No. . | Catalyst . | Pollutant . | Ozone dose . | % of degradation . | References . |
1 | Granular activated carbon | Textile wastewater | 4 L min−1 | 93 decolorization | Lin & Lai (2000) |
2 | Carvon aerogel/copper oxide | Textile dye wastewater | 4 mg min−1 | 85 decolorization | Hu et al. (2016a) |
3 | Manganese/copper- Al2O3 | Benzotriazole | 2.6 g h−1 | 77 mineralization | Roshani et al. (2014) |
4 | Activated carbon | Phenol | 3 L min−1 | 51.53 | Xiong et al. (2020) |
5 | TiO2 | Diclofenac and amoxicillin | 50 mg L−1 | Almost 100 | Moreira et al. (2015) |
6 | Activated carbon | Azo dye acid red 27 | 0.80 mg h−1 | ≈ 90 | Beak et al. (2009) |
7 | Activated carbon fiber | Phenolic wastewater | 1.5 L min−1 | 99 | Qu et al. (2007) |
8 | Ruthenium/γ-Al2O3 | BPA | 6 L h−1 | 56 mineralization | Cotman et al. (2016) |
9 | Granular activated carbon | Phenolic compounds | 19 mg L−1 | 94 mineralization | Ferreiro et al. (2021) |
10 | FeAcC | php | 400 mg h−1 | ≈ 95 | Present study |
(b) Removal of organic compounds by ozonation and reactor study . | |||||
---|---|---|---|---|---|
Sr. No. . | Catalyst . | Pollutant . | Ozone dose . | % of degradation . | References . |
1 | Granular activated carbon | Textile wastewater | 4 L min−1 | 93 decolorization | Lin & Lai (2000) |
2 | Carvon aerogel/copper oxide | Textile dye wastewater | 4 mg min−1 | 85 decolorization | Hu et al. (2016a) |
3 | Manganese/copper- Al2O3 | Benzotriazole | 2.6 g h−1 | 77 mineralization | Roshani et al. (2014) |
4 | Activated carbon | Phenol | 3 L min−1 | 51.53 | Xiong et al. (2020) |
5 | TiO2 | Diclofenac and amoxicillin | 50 mg L−1 | Almost 100 | Moreira et al. (2015) |
6 | Activated carbon | Azo dye acid red 27 | 0.80 mg h−1 | ≈ 90 | Beak et al. (2009) |
7 | Activated carbon fiber | Phenolic wastewater | 1.5 L min−1 | 99 | Qu et al. (2007) |
8 | Ruthenium/γ-Al2O3 | BPA | 6 L h−1 | 56 mineralization | Cotman et al. (2016) |
9 | Granular activated carbon | Phenolic compounds | 19 mg L−1 | 94 mineralization | Ferreiro et al. (2021) |
10 | FeAcC | php | 400 mg h−1 | ≈ 95 | Present study |
Batch FBR study
Effect of initial php concentration and php removal mechanism
Effect of (a) various php concentration, (b) recirculation flowrate, (c) FeAcC reuse on php removal in batch FBR, and (d) HRT on various php concentration in continuous FBR study.
Effect of (a) various php concentration, (b) recirculation flowrate, (c) FeAcC reuse on php removal in batch FBR, and (d) HRT on various php concentration in continuous FBR study.
Effect of recirculation flowrate
Figure 8(b) shows the effect of various recirculation flow rates (0.5–2.5 L min−1) on the php removal. The percentage removal of php increased with the increasing flow rate up to 1.5 L min−1. When the flow rate was low, there was a longer duration for php to engage with FeAcC. However, the interaction was confined to the lower section of the reactor because of the extremely slow movement. At the 1.5 L min−1 flow rate, the removal efficiency was highest due to the distribution of php throughout the reactor with maximum contact with the adsorbent and ozone to get adsorbed and oxidized, respectively. Beyond the flow rate of 1.5 L min−1, the removal rate of php was decreased due to the low residence time of •OH to react and leaching of Fe by the high fluid force. Therefore, it was essential to keep the recirculation flow rate at 1.5 L min−1 to get maximum removal of php (Mohapatra & Ghosh 2023).
Effect of FeAcC reusability
The recovery and subsequent utilization of FeAcC offers a cost-effective approach for php removal. The FeAcC reusability experiment was carried out in five cycles (runs) using an optimum dosage of composite (0.5 g L−1) and recirculation flow rate (1.5 L min−1). The FBR introduced the php solution, which was treated with the HRT of 30 min and disposed of at the end of each cycle. Cycle 1 used FeAcC material, which was reused for all the cycles to remove the subsequent php solution. Figure 8(c) shows that the removal rate of php decreased with an increasing number of cycles from 94.74% in run 1 to 56.84% in run 5. This is most likely due to the occupied binding active sites during each cycle (Li et al. 2015). With increasing cycles, repulsion between adsorbed and non-adsorbed php reduces the php uptake rate. The decrease in php removal could also be attributed to the reduced ozone adsorption and decomposition, which may be due to the limited availability of active sites and Fe leaching after multiple uses of FeAcC (Mohapatra & Ghosh 2023).
Continuous FBR study
Effect of HRT
For the continuous FBR study, HRT is a crucial parameter, representing the average duration that php remains within the reactor. To identify the optimal parameters for php removal, the experiment was conducted with varying initial concentrations of php at different HRTs (Figure 8(d)). The feed rate of php affects HRT, and a low feed rate results in high HRT and vice versa. The removal rate was low at the low HRT due to the high feeding rate of php, less time to interact with FeAcC and •OH, and high dragging force generated by the collision between php solution and FeAcC. At high HRT, php had more time to interact with FeAcC and ·OH without any collision. The removal rate decreased with increased concentration of php (Mohapatra et al. 2021). The optimum HRT was found to be 70 min with the highest php removal for all the php concentrations (Figure 8(d)). According to reports, ideal HRT relies on the type of reactor, fluidized material, pollutant, and feeding rate (Sinharoy et al. 2019).
Optimization of php removal using CCD



The parity plots of (a) normal probability vs studentized residues and (b) predicted vs actual values; response surface 3D plot of percentage of php removal vs (c) flow rate and time, (d) initial concentration and flow rate, and (e) initial concentration and time.
The parity plots of (a) normal probability vs studentized residues and (b) predicted vs actual values; response surface 3D plot of percentage of php removal vs (c) flow rate and time, (d) initial concentration and flow rate, and (e) initial concentration and time.
CONCLUSION
In this study, a sono-assisted synthesized FeAcC composite material was used for the removal of php from an aqueous solution. The maximum adsorption capacity was found to be 25.18 mg g−1 using the Langmuir adsorption isotherm. The electrostatic mechanism played an important role during the adsorption process. According to the Langmuir isotherm and pseudo-second-order kinetics models, adsorption occurred in a single homogenous layer with a chemisorption mechanism. Ozone-integrated FBR showed around 30% more php removal within 20 min than a single adsorption technique. The Ac and Fe of FeAcC provided greater surface area to react with ozone to produce more •OH radicals for php removal. A combined adsorptive–oxidative removal of php in FBR enhanced the removal efficiency, residence time, removal at the highest and lowest concentration, no byproducts, and high rate of reaction by resolving the drawbacks of each method when employed independently. The RSM study demonstrated the reliability and significance of the developed model from the experimental data to optimize the parameters. Future research must use real-time wastewater as the study topic to understand better the removal of other organic pollutants by fluidized FeAcC using advanced oxidation-integrated FBR.
ACKNOWLEDGEMENTS
The authors acknowledge Vellore Institute of Technology, Vellore, Tamil Nadu, for providing a better opportunity to carry out their studies.
DATA AVAILABILITY STATEMENT
All relevant data are included in the paper or its Supplementary Information.
CONFLICT OF INTEREST
The authors declare there is no conflict.