The adsorption of trihalomethanes (THMs) from drinking water was investigated in the current study through comparison studies of kaolinite and ZnO@kaolinite nanocomposites. The clay structural network's successful immobilization on the zincite hexagonal structure of ZnO nanoparticles’ lattice layers was verified by the SEM/EDX analysis. Under the optimum conditions, the maximum removal of THMs was achieved by kaolinite and ZnO@kaolinite nanocomposites after 60 min. The adsorption performance of the ZnO@kaolinite nanocomposites was greater than that of kaolinite because the former had a larger surface area than the latter. The Freundlich isotherm model best matched the adsorption experimental data, which also reveals the existence of multilayer adsorption on a diverse surface with the greatest correlation (R2 = 0.956 and 0.954, respectively) for both nanoadsorbents using the pseudo-first-order (PFO), pseudo-second-order (PSO), mixed 1, 2-order (MFSO), and intraparticle diffusion (IPD) models. The mechanism by which THMs in drinking water adsorb onto nanoadsorbents was examined. This revealed that both intraparticle and film diffusion were involved in the adsorption process. Kaolinite and ZnO@kaolinite nanocomposites can be used in water treatment to remove THMs due to their great recyclable and reusable properties, even after six cycles.

  • ZnO@kaolinite nanocomposite with a higher surface area compared with kaolinite was developed.

  • ZnO@kaolinite nanocomposites effectively manage the elimination of THMs from drinking water (100%).

  • The developed nanocomposite represents high reusability using green tea.

The issues of water scarcity and water quality are escalating worldwide due to various factors like population expansion, climate variations, and unsustainable practices of water consumption (Alomar et al. 2023). In today's era, where pollution has become unavoidable, the importance of access to high-quality drinking water cannot be overlooked (Srivastav & Kaur 2020). Byproducts from disinfection (DBPs) are commonly produced when complex organics, halides (As, Br, and Cl), and disinfectants react with one another in water.

Trihalomethanes (THMs) are one of the byproducts developed when chlorine, the predominant common water disinfectant is used in excess amounts, water that has been chlorinated reacts with the organic content to generate THMs, which are carcinogenic and mutagenic compounds. During the 1970s, the presence of THMs was initially discovered in drinking water. In 12 water purification plants across the United States, THMs constitute more than 13.7% of the halogenated DBPs, therefore being the most common DBPs found in chlorinated drinking water. The maximum permissible levels of total THMs in addition to five (haloacetic acids) HAAs in drinking water were set by the United States Environmental Protection Agency (US EPA) in 2006 at 80 and 60 μg L−1, respectively, as stated in their annual average guidelines (Zhang et al. 2020). THMs level varied from 3 μg L−1 in China to 439.2 μg L−1 in Bangladesh, and from 0.5 μg L−1 in Germany to 215 μg L−1 in Russia, respectively. In 11 developed and 9 developing countries, data on THM from EU26, which encompasses approximately 75% of the population, is also available from 2005 to 2018 (Kothe et al. 2023). Over a period of 3 years, samples of drinking water from 23 Egyptian governorates totaling 1,667 were gathered. Total trihalomethane concentrations varied from 29.07 to 86.01 μg L−1, consistently falling below the highest limit of contamination recommended by Egyptian standards (100 μg L−1) (Mishaqa et al. 2022). With a standard deviation of 11.2, the population weighted average THM level was estimated to be 11.7 μg L−1 (Evlampidou et al. 2020). The raw water might also include specific organic compounds, such as fulvic acid, hymatomelanic acid, algae material, and humic acid. When these compounds react with chlorine, they result in the formation of THMs. When the presence of halides and halogenated compounds exceeds the tolerable limits, these water contaminants can cause detrimental impacts not only on industrial establishments but also on aquatic organisms and human health (Oke et al. 2023). Exposure to THMs can induce different detrimental health effects, comprising induction of cancer birth defects, and other conditions that are mutagenic, teratogenic, carcinogenic, genotoxic, and cytotoxic diseases (Visvanathan et al. 1998). All these led to the intense focus of chemists, epidemiologists, environmentalists, biologists, and toxicologists worldwide.

THMs are composed of chloroform or trichloromethane (TCM), and brominated THMs like chlorodibromomethane (CDBM), bromodichloromethane (BDCM), or bromoform are the most prevalent types of single-carbon substituted halogens (CHX3), where X can represent either bromine, chlorine, iodine, or fluorine, or a combination thereof (Vela et al. 2022). Due to THM's adverse effects on human health, several treatment technologies/methodologies, such as coagulation–flocculation, enhanced coagulation, adsorption, ozonation, ion exchange membranes, ultra/nanofiltration, and advanced oxidation methods that include using disinfectants other than chlorine or maximizing the amount of chlorine, along with treatment procedures that include removing precursor elements before adding chlorine using ion exchange resin or membrane filtering, processes have been developed. This study focuses on the adsorption technique owing to its stability and cost-effectiveness. Over the last decades, large numbers of inexpensive adsorbents have been suggested as possible alternatives for the efficient yet comparatively costly options. Various adsorbents have been investigated for eradication of natural organic matter including activated carbon derived from coal and wood (Karanfil et al. 1999), palm shell activated carbon (Pamidimukkala & Soni 2018), bentonite, rice husk (Menya et al. 2018), and commercial activated carbon (Iriarte-velasco & Jon 2008). However, the literature indicated that the reported adsorption capacities and removal efficiencies were minimal. The proper design of the adsorption processes determines the efficiency degree of the treatment techniques. The adsorption mechanism usually includes the chemical reaction among the metal ions or a cation and the functional groups on the adsorbent (Unuabonah & Adebowale 2007). Clay minerals are characterized by their heterogeneous and lamellar structure with a large number of advantages such as corrosive resistance, low cost, environmental friendly, present abundance, high thermal stability, and resistance to acids and bases (Cao et al. 2021). Kaolinite is considered as the most prevalent type of clay that may be encountered in soils and sediments (Ghosh & Bhattacharyya 2002). Also, semiconductors, like ZnO, TiO2, MnO2, and Fe2O3, have been evaluated to degrade organic contaminants, with TiO2 and ZnO being the most commonly used semiconductors (Fardin Ehsan et al. 2023). The researchers developed ZnO@kaolinite nanocomposites by arranging ZnO nanoparticles onto the kaolinite rod's surface. The kaolinite rod's surface served as a platform for the congregation of ZnO nanoparticles, resulting in the formation of ZnO@kaolinite nanocomposites. The researchers developed highly photoactive nanocomposites with kaolinite and ZnO nanoparticles through a straightforward hydrothermal process. Different weights of ZnO nanoparticles (10, 30, and 50%) were incorporated into the nanocomposites (Kutláková et al. 2014). It is fascinating to realize that by complementing each other, they are able to overcome a significant number of their limitations (Hnamte & Pulikkal 2022). Moreover, comparative studies have been done on the removal of biochemical oxygen demand (BOD), chemical oxygen demand (COD), Fe(III), Cl, and Cr(VI) from tannery effluent using kaolin and kaolin/ZnO nanocomposites (Mustapha et al. 2020).

Hence, the main aim of the current research is to examine the ability of kaolinite and ZnO@kaolinite compounds to manage THMs in drinking water and identify the role of ZnO in the process efficiency. Numerous investigations, including SEM, X-ray diffractometer (XRD), Brunauer–Emmett–Teller (BET), and FTIR, were performed to describe these clay minerals before and after treatment. The adsorption behaviors of the minerals were assessed using various methods. Furthermore, the study optimizes the different operation parameters like contact time, sorbent dosage, solution pH, and THMs initial concentration. The mechanism of adsorption was analyzed using various isotherm and kinetic models.

The following section lists the chemicals, reagents, and methods used in this work.

Chemicals and standards

Hydrochloric acid (HCl, 37%), sodium hydroxide (NaOH, ≥99%), sodium thiosulfate (≥99%), ethanol (99.9%), and hexane (≥99% purity or free of THMs), THMs: chloroform, BDCM, CBDM, and bromoform were procured from Sigma-Aldrich. Sodium chloride (NaCl, ≥99%, VWR PROLABO), methanol (HPLC-grade, Fischer Scientific), acetone (HPLC-grade, TEDIA Company), and reagent water (Type I) were also used in this study. Raw kaolin was purchased from El Nasr Pharmaceutical Chemical Company. All chemicals used were of analytical grade.

Methods

Stock and working solutions were stored at 4 °C. Aqueous calibration standards 5, 10, 50, 100, and 120 μg L−1 were prepared by respectively diluting 5, 10, 50, 100, and 120 μL of the intermediate standard solution in 25 mL reagent water and then extracted and analyzed in the same manner as the unknowns over the concentration range containing at least three levels to confirm the linear response range of the system with a minimum correlation coefficient of 0.99 and to adjust each individual conc. THMs and/or calibration verification by middle-level standard (Standard Methods for the Examination of Water and Wastewater 2023).

Activation of kaolinite and synthesis of ZnO@kaolinite

Kaolinite activation was performed using aqueous HCl, as outlined in Figure 1(a). ZnO@kaolinite (20%) was synthesized via the sol-gel method, as depicted in Figure 1(b) (Elsayed 2020).
Figure 1

Schematic flow diagrams for the preparation steps of activated kaolinite (a) and ZnO@kaolinite (b).

Figure 1

Schematic flow diagrams for the preparation steps of activated kaolinite (a) and ZnO@kaolinite (b).

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Preparation of THM intermediate solution

The intermediate standard solution (25 μg mL−1) is prepared from the stock solution in 5 mL methanol (1 μL = 0.025 μg); using a 100 μL syringe for injection of 62.5 μL from the stock standard solution into the filled area of the volumetric flask, it is then diluted with methanol to reach 5 mL (Standard Methods for the Examination of Water and Wastewater 2023).

Equipment

A pH meter (Adwa, AD3000, Romania) with a reference electrode, magnetic stirrer (VELP SCIENTIFICA, Italy), drying oven (WON-105, Witteg, Germany), muffle furnace (Barnstead Thermolyne), electronic balance (Sartorius, Poland), cellulose nitrate filter paper (0.45 μm) (Sartorius Stedim Biotech), a multi-branch system with a filter holder (Sartorius Stedim Biotech), micro syringes (0.01–1 mL), measuring flasks (0.001, 0.005, 0.01, 0.025, 0.05, and 0.1 L), 40 mL amber glass bottles with Teflon screw caps, 1–2 mL disposable glass transfer pipettes (Pasteur), vials with crimp or screw caps for the autosampler, graduated cylinders (25 and 50 mL), bottle-top dispenser (2–10 mL capacity), and round, amber glass vials with trifluoroethanol (TFE)-lined tops (4 mL volume) for standard solution storage were used.

Characterization of the developed materials

Various techniques were employed to characterize the prepared materials. The prepared materials' functional group variations were assessed using FTIR (Bruker, Vertex 70, Germany) before and after the adsorption procedure. The XRD (Panalytical Empyrean, 202964, Sweden) was used to get the diffraction patterns using the Cu-Kα irradiation source (wavelength λ = 1.5406 Å). It is also utilized to identify the material phases of the developed materials. FE-SEM, Zeiss, Sigma 500 VP (Germany) was employed to determine the elemental composition and the morphological structure of the prepared materials. To determine the surface characteristics, the Quantachrome Instrument (USA, Model TriStar II 2030 Version 3.02, Italy) based on the BET method was utilized.

Batch adsorption experiments

Aqueous calibration standards 5, 10, 50, 100, and 120 μg L−1 are prepared by diluting 5, 10, 50, 100, and 120 μL of the intermediate standard solution, respectively, in 25 mL reagent water and then extracted and analyzed in the same manner as the unknowns over the concentration range containing at least three levels to confirm the linear response range of the system (R2) with a minimum of 0.99 and to correct the concentration of each individual THM and/or calibration verification by the middle-level standard. The limit of detection was 1.70 μg L⁻¹ and the limit of quantification was 4 μg L⁻¹.

Gas chromatography (GC-ECD) analysis

Using Agilent 6890N series gas chromatography supplemented with a GC-ECD (gas capture detector), 7683B THMs were identified using an autosampler, and the identification relied on retention time. Chemstation software was put on the equipment for reporting, data analysis, and operation. The column features a DB-5 fused silica capillary column with a diameter of 250 μm, a maximum length of 30 m × 0.32 mm, and a 0.25 μm film thickness. Nitrogen gas is used as the carrier gas for the GC-ECD. To achieve the optimal resolution across various boiling points, the column temperature was programmed in the following manner: it was initiated at 35 °C for 2 min, then raised at rate 10 °C min−1 until reaching 70 °C, maintained for another 2 min, and finally continued to rise at rate 20 °C min−1 until reaching 250 °C. Finally, it was kept for 5 min at a rate of 20 °C min−1 to 250 °C. The oven had a temperature of 300 °C, a 20-min equilibrium time, a peak flow rate of 104.5 mL min−1, and a pressure of 11.604 psi. The injection was performed at 250 °C for 25 min using a split/splitless mode injector.

Recovery process

The THMs determination was performed using the liquid/liquid extraction technique to extract water samples, followed by gas chromatography supplemented with an electron capture detector (ECD). Subsequently, gas chromatography supplemented with an ECD was employed. Acidified raw water (25 mL) spiked with 200 μg L−1 THMs of the standard mixture underwent extraction using 5 mL of n-hexane. Vigorously shaken by hand for 1 min; wait at least 2 min until the organic layer completely separates; 1.0 mL was taken into a 2 mL vial; and then 1 μL was injected into the GC. The impact of the matrix on extraction efficiency was examined by fortifying the deionized water sample with THM standards to measure the recoveries. The residual concentration in the recovery experiment is displayed as follows (Specification of Powdered Activated Carbon MS873 1984):
(1)
where X is the observed value, K is the known value, and Xs and Xu are the measured values for spiked and unspiked samples, respectively.

Adsorption experiments

The study investigated the adsorption of THM onto kaolinite and ZnO@kaolinite at various pH levels (1, 3, 5, 7, 10, and 11), while maintaining constant conditions for adsorbent dosage, contact time, and concentration. The effect of the sorbent dosage on the THMs adsorption onto kaolinite and ZnO@kaolinite was investigated at different adsorbent dosages (1, 5, 10, and 20 mg) while maintaining constant conditions for pH, contact time, and concentration. The effect of THMs initial concentration was studied by varying the THMs initial concentrations (50, 100, 200, 300, 400, 600, and 800 μg L−1) while maintaining constant conditions for pH, adsorbent dosage, and contact time. The adsorption of THMs onto kaolinite and ZnO@kaolinite were investigated at varying contact times (5, 15, 30, 45, 60, and 120 min) while maintaining constant conditions for adsorbent dosage, pH, and initial concentration. The effect of ionic strength on the THM adsorption using kaolinite and ZnO@kaolinite was achieved with varied concentrations of NaCl (0.01, 0.05, 0.1, 0.03, and 0.5 M) while maintaining constant conditions for adsorbent dosage, pH, initial concentration, and contact time. The reusability of the sorbents was studied using the filtration approach, after that the adsorbents were permitted to settle and collected. Then ethanol was used to clean them (Hnamte & Pulikkal 2022). Moreover, green tea was used as a green solvent. Prior to being used in the next cycles, the resulting sample underwent initial drying within a stove adjusted at 70 °C for 2 h. The optimal conditions identified in batch adsorption studies were used to repeat the experiment.

Data analysis

The percent of THMs eliminated from water samples was calculated utilizing Equation (2). The adsorption capacities at equilibrium (qe, μg g−1) and at a given time t (qt, μg g−1) were determined using Equations (3) and (4), respectively:
(2)
(3)
(4)
where Ce, Co, and Ct (μg L−1) are the concentrations at the equilibrium, initial concentration, and at time (t), respectively. The volume of the solution and the mass of the sorbent are represented as V (L) and m (g), respectively.

Adsorption isotherms

The adsorption isotherms can express the efficiency of the adsorption process. It illustrates the distribution of molecules between the liquid and solid phases when the equilibrium state of the adsorption process is reached (Brdar et al. 2012). The adsorption isotherms have been used to estimate the maximum adsorption capacity (qm) of THMs and the mechanism of adsorption. In this study, three models were employed to describe the process, such as two-parameter isotherm models (Langmuir and Freundlich) and a four-parameter isotherm model (Baudu). Langmuir isotherm (Equation (5)) considers that the adsorbate is covered in a monolayer on the homogeneous adsorbent surface, with all sorption sites found to be similar and having equal energy (Armbruster & Austin 1938). The Freundlich isotherm model (Equation (6)) involves multilayer adsorption on a heterogeneous surface. The Freundlich model postulates a non-ideal adsorption process (Freundlich & Hatfield 1926). According to Baudu (Equation (7)), the Langmuir model has been reduced to the Baudu model since the measurement of Langmuir coefficients, bo and qm, are not constant over a wide range of equilibrium concentrations. This was determined by measuring tangents at various equilibrium concentrations (Baudu 1990):
(5)
(6)
(7)
where KL is Langmuir equation constant (L mg−1), 1/n (–) and (μg g−1) represent Freundlich adsorption intensity and capacity, respectively, x and y represent Baudu parameters, and bo is the Baudu equilibrium constant.

Adsorption kinetics

In order to calculate the rate of pollutant uptake and THMs removal, as well as to understand the removal mechanism, it is essential to study the kinetics of THMs adsorption onto kaolinite and ZnO@kaolinite. Using the fitting of pseudo-first-order (PFO), pseudo-second-order (PSO), mixed 1, 2-order (MFSO), Avrami, and intraparticle diffusion (IPD) models to the experimental data, the adsorption kinetics of THMs were investigated. The PFO model (Equation (8)) assumes a physisorption process in which the mechanism is based on diffusion rather than dependence on reactant concentrations (Widiartyasari Prihatdini et al. 2023). The PSO model (Equation (9)) might be referred to as the chemisorption procedure because it is a chemical reaction that is important in the rate-controlling step (Aurich et al. 2017). According to the IPD model (Equation (10)), the adsorbates diffuse into the adsorbent's pores to initiate the adsorption process (Rudzinski & Plazinski 2008). The Avrami model (Equation (11)) describes the phase transformations that materials undergo at constant temperature (Lopes et al. 2003). The MFSO model (Equation (12)) represents the combination of PFO and PSO models (Marczewski & Słota 2013).
(8)
(9)
(10)
(11)
(12)
where is the rate constant of the PFO model (min−1) and represents the PSO rate constant (g mg−1min−1). represents the diffusion coefficient ((mg g−1min−1)(1/2)) and represents the intraparticle diffusion constant (mg g−1). and represent the Avrami component and rate constant (min−1), respectively.

The following sections discuss in detail the discussion of the characterization, adsorption, kinetic, and isotherm modeling results.

Morphological analysis

The FE-SEM results of the prepared materials demonstrate both low- and high-magnification views (Figure 2). The kaolinite surface morphology before adsorption is shown in Figure 2(a). It shows well-developed crystals with a pseudo-hexagonal flakey structure with high crystalline quality. The surface of the kaolinite (Figure 2(a)) shows a flakey structure with ideal pore sizes, facilitating accessibility to the internal pores. Following adsorption (Figure 2(b)), it was noticed that the pores were closed with the THMs, which had adsorbed onto the surface of kaolinite. This indicated that adsorption had taken place. ZnO@kaolinite (Figure 2(c)) reveals well-developed crystals with a large crystal size, and the crystals appear to be uniformly distributed. Additionally, a prominent alteration in the surface morphology of kaolinite occurred when ZnO was heterogeneously introduced onto its surface. The surface morphology of ZnO@kaolinite after the adsorption (Figure 2(d)) shows that the pores were already clogged with the THMs, which adsorbed onto the ZnO@kaolinite surface, confirming that the adsorption had taken place. Using energy-dispersive X-ray spectroscopy (EDX) spectroscopy mapping, the elemental composition of the prepared kaolinite and ZnO@kaolinite before and after adsorption with THMs has been examined to explore the distribution and composition of the different elements present in the samples. The EDX mapping of kaolinite (Figure 2(e)) confirms the presence of C, O, Ti, K, Al, Si, Fe, and Au in the kaolinite sample. The EDX mapping of kaolinite after adsorption (Figure 2(f)) proves the presence of the main constituents of kaolinite (Al, C, Si, O, K, Ca, Ti, Fe, and Au) in addition to the presence of Cl and Br, which confirm the adsorption of THMs onto kaolinite. The EDX mapping of ZnO@kaolinite (Figure 2(g)) proves the presence of Si, K, C, O, Al, Ti, Ca, Mg, Fe, and Au in the prepared sample, which are the main constituents of the kaolinite, in addition to the presence of Zn particles. The EDX mapping of ZnO@kaolinite after adsorption of THMs (Figure 2(h)) proves the presence of the main constituents of ZnO@kaolinite (Si, K, C, O, Mg, Al, Ti, Fe, Au, Ca, and Zn) in addition to the presence of Cl and Br, which confirms the adsorption of THMs onto ZnO@kaolinite.
Figure 2

FE-SEM images for kaolinite (a), THMs@kaolinite (b), ZnO@kaolinite (c), and THMs@ZnO@kaolinite (d). EDX mapping of kaolinite (e), THMs@kaolinite (f), ZnO@kaolinite (g), and THMs@ZnO@kaolinite (h).

Figure 2

FE-SEM images for kaolinite (a), THMs@kaolinite (b), ZnO@kaolinite (c), and THMs@ZnO@kaolinite (d). EDX mapping of kaolinite (e), THMs@kaolinite (f), ZnO@kaolinite (g), and THMs@ZnO@kaolinite (h).

Close modal

Fourier transform infrared spectroscopy

The FTIR spectra of the prepared kaolinite and ZnO@kaolinite are displayed in Figure 3. Every spectrum that was found is characteristic of the adsorbed materials. In the spectrum of kaolinite (Figure 3(a)), there is a distinctive O–H stretching pattern, which consists of bands at roughly 3,695, 3,624, and 3,434 cm−1. These hydroxyl groups point toward the empty octahedral hole because they are nearly parallel to the plane (Elbokl & Detellier 2008). The band at 3,434 cm−1 coincides with both the carbon surface and potential atmospheric water, which could have undergone adsorption either prior to or during the measurements. The bands located at 1,622 cm−1 coincide with the stretching vibration of C = O (Aristilde et al. 2010). The absorption bands at about 459 and 785 cm−1 were found, confirming that the Si–O functional group had been identified (Nzeugang Nzeukou et al. 2013). It was discovered that the Si–O–Al band indicator bands were at 681 and 524 cm−1 (Hu & Yang 2013). Figure 3(c) shows the spectrum of ZnO@kaolinite. The bands, which were seen respectively at about 1,029 and 917 cm−1 belonged to the Si–O–Si and Al–OH groups (Mubarak et al. 2022). The bands appearing in the 1,000–400 cm–1 range and at 2,766 cm–1 are caused by the stretching and bending modes of zinc oxide (Modi et al. 2023). Figure 3(b) and 3(d) shows the spectra of kaolinite and ZnO@kaolinite after the adsorption of THMs, respectively. A new peak appears at 2,926 cm−1, which is attributed to the symmetric stretching vibration of C–H. In the case of ZnO@kaolinite, the band at 2,766 cm−1 disappeared, and the band at 2,376 shifted to 2,978 cm−1. The FTIR spectra after the adsorption of THMs demonstrate identical FTIR peaks to the initial spectra of the adsorbed materials, showing no meaningful difference in the peaks. This is due to the overlapping between the peaks of THMs and the adsorbed materials. The development of new bands within the 500–800 cm−1 range refers to the existence of halides (Cl and Br) due to the fact that the substances being analyzed contain these elements (Alsharaa et al. 2016), which confirm the attachment of the adsorbents onto the adsorbate.
Figure 3

FTIR spectra of (a) kaolinite, (b) THMs@kaolinite, (c) ZnO@kaolinite, and THMs@ZnO@kaolinite (d).

Figure 3

FTIR spectra of (a) kaolinite, (b) THMs@kaolinite, (c) ZnO@kaolinite, and THMs@ZnO@kaolinite (d).

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XRD analysis

The prepared materials were examined using the XRD technique (Figure 4(a)). For the spectrum of kaolinite, there are clear reflections at the values of 2θ 12.8276°, 20.5338°, 21.3428°, 23.5677°, 25.3679°, 26.9657°, 35.5619°, 36.371°, 38.9599°, 39.0206°, 45.9987°, 55.4443°, and 62.6045°, which are characteristics for kaolinite and correspond to the ASTM card number (PDF 01-079-6476). After the adsorption of THMs, the XRD pattern of THMs@kaolinite (Figure 4(b)) proves the presence of the main peaks of the kaolinite in addition to the presence of new peaks, which characteristics for THMs at 2θ 21.6867°, 23.9318°, 26.0151°, 27.3905°, 30.0806°, 32.0021°, 34.0045°, 40.0117°, and 41.0028° which are corresponding to the ASTM card number (PDF 01-077-3794), also 2θ values appear at 22.0103°, 24.0127°, 25.6713°, 28.3209°, 33.0336°, 37.0182°, and 47.1111° which are corresponding to card number (PDF 01-083-6560). Figure 4(c) shows the presence of diffractions associated with the hexagonal structure of zincite after incorporating ZnO into the kaolinite matrix. The pattern of XRD also displayed the existence of kaolinite peaks, which correspond to card number (PDF 01-074-1786). The peaks at 2θ 31.9819°, 34.9754°, 36.9575°, 47.9404°, 56.9006°, 63.1303°, 68.1465°, and 69.3196° were verified as (100), (002), (101), (102), (110), (103), (112), and (201) planes of ZnO (Misra et al. 2018) and corresponding to card number (PDF 01-086-8817). After adsorption of THMs, the XRD pattern of ZnO@kaolinite (Figure 4(d)) proves the presence of the main peaks of the kaolinite and ZnO particles in addition to the presence of new peaks that have characteristics for THMs at 2θ 24.1947°, 25.7117°, 29.0086°, 33.0134°, 35.0765°, 37.0182°, 42.6209°, 55.0196°, and 57.0018° which are corresponding to card number (PDF 01-077-3797). Additionally, the peaks at 2θ 22.6171°, 24.1947°, 25.7117°, 28.3411°, 33.0134°, and 38.0093° are correspond to the card number (PDF 01-083-6567). These findings corroborated the results acquired from the FTIR spectra.
Figure 4

XRD patterns of kaolinite (a), THMs@kaolinite (b), ZnO@kaolinite (c), and THMs@ZnO@kaolinite (d).

Figure 4

XRD patterns of kaolinite (a), THMs@kaolinite (b), ZnO@kaolinite (c), and THMs@ZnO@kaolinite (d).

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Specific surface area analysis

The N2 adsorption/desorption isotherms for kaolinite and ZnO@kaolinite nanocomposites are displayed in Figure 5(a) and 5(b). The specific surface area of kaolinite was 11.6473 m² g−1 and the pore volume was 0.05 cm³ g−1 while after adsorption, the pore volume and surface area were increased up to 0.06 and 13.2605 m² g−1, respectively. This could be due to the effect of THMs, which increase the heterogeneous porosity of the kaolinite. The specific surface area of ZnO@kaolinite attained 22.1164 m² g−1 and the pore volume attained 0.096 cm³ g−1. After adsorption, these values increased to 23.4750 and 0.0989 cm³ g−1, respectively. The surface area of kaolinite was increased by incorporating Zn oxide nanoparticles into the kaolinite matrix from 11.6473 to 22.1164 m² g−1. This implies that the enhanced surface area of the composite material was caused by the inclusion of polar and porous ZnO nanoparticles. The specific surface area of ZnO@kaolinite nanocomposites is significantly greater than that of kaolinite alone, which suggests that ZnO@kaolinite has more binding sites than kaolinite. The N2 adsorption/desorption isotherms of both materials prior to and following THMs adsorption are of IV type, which characterizes low energy of adsorption and mesoporous properties (Mohammed et al. 2022). Additionally, it is indicated that the pore channels are primarily mesopores and that the hysteresis is of type H3 according to the IUPAC classification, with small slit-like pore particles having irregularly shaped interior spaces, and mesopores make up the majority of the pore channels (Raja & Barron 1934; Liu et al. 2023). It was also noticed that the specific surface area of the material increased after THMs adsorption. This may be attributed to new connections or/and bonds between THMs compounds and the adsorbents, in addition to the development of heterogeneous surfaces. Both of them could increase the surface-free energy that promotes the diffusion of N2 atoms to the surface, resulting in an increase in the surface area.
Figure 5

Nitrogen adsorption–desorption isotherm for (a) kaolinite, THMs@kaolinite and (b) ZnO@kaolinite and THMs@ZnO@kaolinite.

Figure 5

Nitrogen adsorption–desorption isotherm for (a) kaolinite, THMs@kaolinite and (b) ZnO@kaolinite and THMs@ZnO@kaolinite.

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Adsorption studies

Impact of pH

The outcomes, depicted in Figure 6(a), reveal that kaolinite achieved 100% removal efficiency of THMs at pH levels of 1, 3, and 5. However, with a rising pH of up to 11, the removal dropped to 80%. The zeta potential of kaolinite was 5.07 mV. Therefore, the removal efficiency of kaolinite decreases after pH level 5, and under acidic conditions, it favors the adsorption of the slightly polar THMs molecules. In contrast, the ZnO@kaolinite composite maintained an exceptional removal efficiency of 100% across the entire pH range tested, from highly acidic to highly basic conditions. Figure 6(b) shows that in the case of kaolinite, the adsorption was constant at qe (945 μg g−1) until pH level 5, then decreased to qe (745 μg g−1) at pH 11. Meanwhile, in the case of ZnO@kaolinite, the adsorption was observed with qe (945 μg g−1) at all pH levels. The addition of ZnO appears to significantly enhance the adsorbent properties of kaolinite, producing a stable, high-performance adsorbent material effective at removing THMs over a wide pH range.
Figure 6

Impact of pH on the removal % of THMs using kaolinite and ZnO@kaolinite (a) and the adsorption capacity of THMs using kaolinite and ZnO@kaolinite (b) at an initial concentration of 200 μg L−1, dosage 5 mg, and at room temperature.

Figure 6

Impact of pH on the removal % of THMs using kaolinite and ZnO@kaolinite (a) and the adsorption capacity of THMs using kaolinite and ZnO@kaolinite (b) at an initial concentration of 200 μg L−1, dosage 5 mg, and at room temperature.

Close modal

Effect of sorbent dosage

The findings presented in Figure 7(a) imply that the removal efficiency of THMs increased from 76.5% for 1 mg up to 98.5% at 20 mg, and the removal of THMs efficiency raised from 90 to 100% at an adsorbent dose of 10 mg and 100% at an adsorbent dose of 20 mg. The study of the ZnO@kaolinite adsorbent dosage effect indicates that the removal efficiency increases until it reaches 5 mg, then becomes constant. This means that ZnO@kaolinite is saved in adsorbent dosage quantities. Figure 7(b) indicates that in the case of kaolinite, the adsorption was increased sharply till qe 755 μg g−1 at kaolinite dosage of 5 mg, then increased slightly reaching qe 975 μg g−1 at kaolinite dosage of 20 mg, whereas in the case of ZnO@kaolinite, the adsorption increased sharply till qe 940 μg g−1 at ZnO@kaolinite dosage of 5 mg, then became constant. This shows that the optimum dose of ZnO@kaolinite is 5 mg. This may be due to the fact that as the adsorbent dose increases, the adsorption sites and free sorption surface improve, resulting in improved removal efficiency. Although an adsorbent dose of 20 mg produced the maximum removal efficiency in this investigation, considering the economic perspective, an adsorbent dosage of 5 mg will be deemed the optimal dosage of kaolinite.
Figure 7

Impact of dosage of adsorbent on removal % (a) and adsorption (b) of THMs using kaolinite and ZnO@kaolinite based on THMs initial concentration of 200 μg L−1, pH 7, and at room temperature.

Figure 7

Impact of dosage of adsorbent on removal % (a) and adsorption (b) of THMs using kaolinite and ZnO@kaolinite based on THMs initial concentration of 200 μg L−1, pH 7, and at room temperature.

Close modal

Effect of THMs initial concentration

In Figure 8(a), for kaolinite, THMs removal efficiency was found to be 100% at Co 50 and 100 μg L−1 and then dropped to 75.25% at Co 800 μg L−1. The initial concentration was shown to increase with the decrease in the THMs removal efficiency. For ZnO@kaolinite, THMs removal efficiency was found to be 100% at Co 50 and 100 μg L−1 and dropped to 76.65% at Co 800 μg L−1. Figure 8(b) shows that for kaolinite, the adsorption capacity (qe) was increased from 245 to 3,000 μg g−1 when THMs Co increased from 50 to 800 μg L−1, whereas in the case of ZnO@kaolinite, it was increased from qe 240 to 3,050 μg g−1 when THMs Co increased from 50 to 800 μg L−1. This may be due to the increase in the initial concentration, which results in a corresponding augmentation in the rate of adsorption as the concentration gradient rises. Equilibrium is reached when there is a transfer of mass from the liquid phase to the solid phase.
Figure 8

Impact of initial concentration on removal % (a) and adsorption (b) using kaolinite and ZnO@kaolinite at dosage 5 mg, pH 7, and at room temperature.

Figure 8

Impact of initial concentration on removal % (a) and adsorption (b) using kaolinite and ZnO@kaolinite at dosage 5 mg, pH 7, and at room temperature.

Close modal

Effect of contact time

The findings presented in Figure 9(a) indicate that THMs removal efficiency increased from 9.5 to 88% due to an increase in the contact time from 5 to 45 min and then increased slightly to 100% at 2 h. Meanwhile, ZnO@kaolinite achieved a removal efficiency of 12.5% at a contact time of 5 min and achieved 100% at a contact time of 120 min. These findings suggest that THMs adsorption using kaolinite and ZnO@kaolinite was observed to increase with increasing the contact time until equilibrium occurred. Figure 9(b) shows that qt of kaolinite was increased from 85 to 870 μg g−1 when contact time increased from 5 min to 1 h, whereas in the case of ZnO@kaolinite, the adsorption capacity increased from 110 to 890 μg g−1 when the contact time increased from 5 to 60 min. This may be due to the fact that as the adsorbent and adsorbate's contact time increases, THM removal efficiency using kaolinite and ZnO@kaolinite increases until equilibrium is reached, then no more significant change has occurred.
Figure 9

Impact of contact time on removal % (a) and adsorption (b) using kaolinite and ZnO@kaolinite at Co 200 μg L−1, pH 7, kaolinite and ZnO@kaolinite dosage 5 mg, and at room temperature.

Figure 9

Impact of contact time on removal % (a) and adsorption (b) using kaolinite and ZnO@kaolinite at Co 200 μg L−1, pH 7, kaolinite and ZnO@kaolinite dosage 5 mg, and at room temperature.

Close modal

Impact of ionic strength

The results, presented in Figure 10(a), indicate that kaolinite achieved THMs removal efficiency increment from 56.5% at NaCl concentration 0.01 M to 94% at NaCl concentration 0.5 M. Meanwhile, ZnO@kaolinite achieved 70.5% at NaCl concentration 0.01 M and reached 94% at NaCl concentration 0.5 M. The investigation showed that THMs removal efficiency has been influenced by the co-existing ions. Figure 10(b) shows that qe of kaolinite was increased from 550 to 930 μg g−1 when NaCl concentration increased from 0.01 to 0.5 M, meanwhile in case the of ZnO@kaolinite, qe increased from 690 to 925 μg g−1 when NaCl concentration increased from 0.01 to 0.5 M. This may be due to the electrostatic repulsion that results from sodium ion bridging between the THMs in the solution and that is adsorbed on the surface. Therefore, it is recommended to conduct studies on the effect of ionic strength on THM removal from water. This will help in the search for solutions for THM removal from various water types with very high salinity or ionic strength, as well as because different types of ions in the water may have an impact on THM adsorption.
Figure 10

Effect of ionic strength on removal % (a) and adsorption (b) using kaolinite and ZnO@kaolinite at THMs initial Co of 200 μg L−1, dosage of 5 mg, pH 7, and at room temperature.

Figure 10

Effect of ionic strength on removal % (a) and adsorption (b) using kaolinite and ZnO@kaolinite at THMs initial Co of 200 μg L−1, dosage of 5 mg, pH 7, and at room temperature.

Close modal

Adsorption isotherms

The correlation between the equilibrium concentration (Ce) and adsorption at equilibrium (qe) on the surfaces of kaolinite and ZnO@kaolinite is shown in Figure 11. Regarding the equilibrium data measured at about 25 °C and pH ∼ 7. Freundlich, Baudu, and Langmuir adsorption isotherms were used. The results show that the Freundlich model is the best to describe the experimental data for THMs@kaolinite and THMs@ZnO@kaolinite adsorption systems with R2 of 0.954, and 0.956, respectively. Followed by Langmuir and Baudu adsorption isotherms with high correlation coefficients are listed in Table 1.
Table 1

The parameters of the adsorption models for THMs uptake onto kaolinite and ZnO@kaolinite

Adsorption modelsParameterKaolinite THMsZnO@kaolinite THMs
Langmuir qmax 20,000 30,000 
KL 0.001 0.0008 
R2 0.948 0.942 
Freundlich Kf 49.14 70.16 
1/nF 0.8257 0.7656 
R2 0.954 0.956 
Baudu qm 17,095 13,841 
b0 0.0015 0.0021 
x 0.0002 0.0002 
y 
R2 0.948 0.947 
Adsorption modelsParameterKaolinite THMsZnO@kaolinite THMs
Langmuir qmax 20,000 30,000 
KL 0.001 0.0008 
R2 0.948 0.942 
Freundlich Kf 49.14 70.16 
1/nF 0.8257 0.7656 
R2 0.954 0.956 
Baudu qm 17,095 13,841 
b0 0.0015 0.0021 
x 0.0002 0.0002 
y 
R2 0.948 0.947 
Figure 11

Fitting of the experimental adsorption isotherm data of THM@kaolinite and THMs@kaolinite using Langmuir (a), Freundlich (b), and Baudu (c) isotherm models.

Figure 11

Fitting of the experimental adsorption isotherm data of THM@kaolinite and THMs@kaolinite using Langmuir (a), Freundlich (b), and Baudu (c) isotherm models.

Close modal

Adsorption kinetics

The kinetic models are plotted in Figure 12(a) and 12(b), and the model coefficients are displayed in Table 2. Figure 12(a) displays the kinetic adsorption data of THMs onto kaolinite using PFO, PSO, MFSO, Avrami, and IPD models. Moreover, PFO expression, MFSO, and the Avrami model can accurately fit the experimental data accurately, as illustrated in Figure 12(a) and 12(b), while PSOM is not suitable for both THMs@kaolinite and THMs@ZnO@kaolinite where the calculated value of qmax is higher than the experimental one. Correlation coefficients for each expression were compared, and the findings showed that the IPD model is the least fitted adsorption kinetics model for the present system, with a correlation coefficient of 0.88 for kaolinite and 0.90 for ZnO/kaolinite; additionally, the computed values did not align with the experimental ones.
Table 2

The parameters of the adsorption kinetic models for the uptake of THMs onto kaolinite and ZnO@kaolinite

ModelParametersKaolinite THMsZnO@kaolinite THMs
Pseudo-first-order qe 1069.312 1043.69 
k1 0.025548 0.02982 
R2 0.984 0.985 
Pseudo-second-order qe 1,419 1,364 
K2 1.54E-05 1.89E-05 
R2 0.968 0.965 
Mixed 1, 2-order qe 1069.3 1043.7 
k 0.0256 0.0298 
f2 
R2 0.984 0.985 
Avrami qe 1069.3 1043.7 
kav 0.164 0.178 
nav 0.1554 0.168 
R2 0.984 0.985 
Intraparticle diffusion Kip 98.8 101.9 
Cip 
R2 0.899 0.882 
ModelParametersKaolinite THMsZnO@kaolinite THMs
Pseudo-first-order qe 1069.312 1043.69 
k1 0.025548 0.02982 
R2 0.984 0.985 
Pseudo-second-order qe 1,419 1,364 
K2 1.54E-05 1.89E-05 
R2 0.968 0.965 
Mixed 1, 2-order qe 1069.3 1043.7 
k 0.0256 0.0298 
f2 
R2 0.984 0.985 
Avrami qe 1069.3 1043.7 
kav 0.164 0.178 
nav 0.1554 0.168 
R2 0.984 0.985 
Intraparticle diffusion Kip 98.8 101.9 
Cip 
R2 0.899 0.882 
Figure 12

Adsorption kinetic data of THMs@kaolinite (a) and THMs@ZnO@kaolinite (b) using PFO, PSO, MFSO, Avrami, and IPD models.

Figure 12

Adsorption kinetic data of THMs@kaolinite (a) and THMs@ZnO@kaolinite (b) using PFO, PSO, MFSO, Avrami, and IPD models.

Close modal

Reusability of the sorbents

For commercial use, the stability and reusability of the adsorbents are required. Six consecutive runs were conducted to examine the behavior of kaolinite and ZnO@kaolinite nanocomposites in the adsorption of THMs over multiple adsorption–desorption cycles. Following six cycles, Figure 13(a) and 13(b) illustrates the impact of ZnO@kaolinite nanocomposites and kaolinite regeneration potential on THMs removal efficiency. The quantity of THMs removed with kaolinite using ethanol is shown in Figure 13(a). It reduced slightly after the third cycle (94%) in comparison to the first and second cycles (100%), and then significantly to (76%) after the sixth cycle. When compared with the first three cycles, the removal efficiency of THMs using ZnO@kaolinite showed a slight decline after the fourth cycle (94%) and a significant decrease after the sixth cycle, reaching (86%). In Figure 13(b), using green tea, it can be noticed that the amount of THMs removed using kaolinite was shown to have slightly decreased after the third cycle (98%) in comparison to the first and second cycles (100%), and after the second run, there was a significant decrease, reaching 80% after the sixth cycle. In comparison to the initial cycle, the removal efficiency of THMs experienced a slight decrease (96%) after the fifth cycle, second, third, and fourth cycles (100%) in the recurrent adsorption–desorption cycles using ZnO@kaolinite, and then significantly decreased after the sixth cycle, reaching 90%. This indicates that the regenerated nanocomposites exhibited extraordinarily high THMs adsorption efficiencies in comparison to the use of kaolinite alone in the first and second cycles. The weakness of the supporting material and the loss of nanoparticles in the case of ZnO@kaolinite mixes generally lead to a partial inhibition of the regeneration of ZnO@kaolinite. Therefore, the adsorption removal efficiency of ZnO@kaolinite is strongly associated with the decrease in ZnO@kaolinite lifetime. Based on adsorption, the results indicate that ZnO@kaolinite nanocomposites have better recyclability potentials than kaolinite alone for the removal of THMs (Yu et al. 2018) and green tea has a significant role in the regeneration of the materials compared with ethanol.
Figure 13

The reusability of kaolinite (a) and ZnO@kaolinite (b) using ethanol and green tea.

Figure 13

The reusability of kaolinite (a) and ZnO@kaolinite (b) using ethanol and green tea.

Close modal

Comparative study

Table 3 reports a comparison with the previous studies for the adsorption of THMs onto different adsorbents.

Table 3

A comparison of the removal of THMs by various adsorbents in the literature

AdsorbentRemoval (%)qmax (mg g−1)Experiment optimum conditions
References
pHInitial conc. (mg L−1)Sorbent dosageEquilibrium time (h)Temp. (°C)
Ionic liquid-modified clay immobilized in an agarose film >87 – – 0.5 15% 0.5 45 Sánchez-Duque et al. (2022)  
Activated carbon produced from sewage sludge with ZnCl2 10–15 137.0 Natural 50 0.3 g L−1 25 Sanz-Santos et al. (2022)  
Modified montmorillonite – 16.691 6.5–7.5 10 mg 20 Haghighat & Mohammad-khah (2020)  
Granular activated carbon 85 27.6 8.0 30 mg 75–300 30 Iriarte-velasco & Jon (2008)  
Moringa oleifera 100 – 9.0 0.6 0.8 g – Okoya et al. (2020)  
Kaolinite 100 20 7.0 0.2 5 mg 25 Current study 
ZnO@kaolinite 30 
AdsorbentRemoval (%)qmax (mg g−1)Experiment optimum conditions
References
pHInitial conc. (mg L−1)Sorbent dosageEquilibrium time (h)Temp. (°C)
Ionic liquid-modified clay immobilized in an agarose film >87 – – 0.5 15% 0.5 45 Sánchez-Duque et al. (2022)  
Activated carbon produced from sewage sludge with ZnCl2 10–15 137.0 Natural 50 0.3 g L−1 25 Sanz-Santos et al. (2022)  
Modified montmorillonite – 16.691 6.5–7.5 10 mg 20 Haghighat & Mohammad-khah (2020)  
Granular activated carbon 85 27.6 8.0 30 mg 75–300 30 Iriarte-velasco & Jon (2008)  
Moringa oleifera 100 – 9.0 0.6 0.8 g – Okoya et al. (2020)  
Kaolinite 100 20 7.0 0.2 5 mg 25 Current study 
ZnO@kaolinite 30 

The findings of this study suggest the potential of kaolinite and ZnO@kaolinite nanocomposite as effective sorbents for the elimination of THMs from drinking water. The analysis of the adsorbents involved the utilization of XRD, BET, FTIR, and SEM/EDX methods. The adsorption process was observed to be influenced by factors like pH, THMs initial concentrations, adsorbent dose, ionic strength, and contact time. Based on the variations in surface area, ZnO@kaolinite nanocomposite showed better adsorptive behavior under the applied conditions than kaolinite alone. The ideal conditions to remove THMs vary, and these variations have been connected to the types of pollutants present in drinking water. The Freundlich isotherm model is the best to explain the equilibrium adsorption data. According to adsorption kinetic data, the steps that determined the rate were both diffusion and IPD. The results indicate that kaolinite and ZnO@kaolinite nanocomposite are practically applicable for the adsorption of THMs from drinking water, indicating that adsorbents are an attractive choice for water management. Further studies should be conducted to investigate the scalability and cost-effectiveness of using kaolinite and ZnO@kaolinite nanocomposite for THMs removal in drinking water treatment plants. The effect of other factors such as temperature, particle size, and surface modification on the adsorption behavior of THMs onto kaolinite and ZnO@kaolinite nanocomposites should be explored. The use of other adsorbents such as ZnO, activated carbon, zeolites, and metal-organic frameworks should be investigated for comparison with kaolinite and ZnO@kaolinite nanocomposites.

The United States of America, via the US Agency for International Development (USAID), has graciously provided the financial support necessary for this publication. The authors alone are responsible for the information, which may not represent the views of USAID or the US government.

E.E.: Conceptualization, Methodology, Investigation, Data curation, Writing – original draft, Writing – review and editing. E.-S.I.M.: Supervision, Resources, Writing – review and editing. O.A.M.: Supervision, Writing – review and editing. N.S.: Methodology, Visualization, Investigation, Data curation, Writing – review and editing.

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

The authors declare there is no conflict.

Alomar
T.
,
Qiblawey
H.
,
Almomani
F.
,
Al-Raoush
R. I.
,
Han
D. S.
&
Ahmad
N. M.
2023
Recent advances on humic acid removal from wastewater using adsorption process
.
Journal of Water Process Engineering
53
(
March
),
103679
.
https://doi.org/10.1016/j.jwpe.2023.103679
.
Alsharaa
A.
,
Basheer
C.
,
Adio
S. O.
,
Alhooshani
K.
&
Lee
H. K.
2016
Removal of haloethers, trihalomethanes and haloketones from water using Moringa oleifera seeds
.
International Journal of Environmental Science and Technology
13
(
11
),
2609
2618
.
Aristilde
L.
,
Marichal
C.
,
Miéhé-Brendlé
J.
,
Lanson
B.
&
Charlet
L.
2010
Interactions of oxytetracycline with a smectite clay: A spectroscopic study with molecular simulations
.
Environmental Science and Technology
44
(
20
),
7839
7845
.
Armbruster
M. H.
&
Austin
J. B.
1938
The adsorption of gases on plane surfaces of mica
.
Journal of the American Chemical Society
60
(
2
),
467
475
.
Aurich
A.
,
Hofmann
J.
,
Oltrogge
R.
,
Wecks
M.
,
Gläser
R.
,
Blömer
L.
,
Mauersberger
S.
,
Müller
R. A.
,
Sicker
D.
&
Giannis
A.
2017
Improved isolation of microbiologically produced (2R,3S)-isocitric acid by adsorption on activated carbon and recovery with methanol
.
Organic Process Research and Development
21
(
6
),
866
870
.
Baudu
M.
1990
Etude Des Interactions Solutes-Fibres de Charbon Actif: Applications et Regeneration (Doctoral Dissertation, Rennes 1). Available from: https://www.theses.fr/1990REN10039.
Brdar
M.
,
Šćiban
M.
,
Takači
A.
&
Došenović
T.
2012
Comparison of two and three parameters adsorption isotherm for Cr(VI) onto Kraft lignin
.
Chemical Engineering Journal
183
,
108
111
.
Cao
Z.
,
Wang
Q.
&
Cheng
H.
2021
Recent advances in kaolinite-based material for photocatalysts
.
Chinese Chemical Letters
32
,
2617
2628
.
Elbokl
T. A.
&
Detellier
C.
2008
Intercalation of cyclic imides in kaolinite
.
Journal of Colloid and Interface Science
323
,
338
348
.
Elsayed
M. F. M. K.
2020
Removal of Some Organic Compounds from Polluted Water Using Modified Kaolin. Unpublished doctoral dissertation, Damietta University, Egypt. http://lib.mans.edu.eg/eulc_v5/Libraries/Thesis/BrowseThesisPages.aspx?fn=PublicDrawThesis&BibID=12658175
.
Evlampidou
I.
,
Font-Ribera
L.
,
Rojas-Rueda
D.
,
Gracia-Lavedan
E.
,
Costet
N.
,
Pearce
N.
,
Vineis
P.
,
Jaakkola
J. J. K.
,
Delloye
F.
,
Makris
K. C.
,
Stephanou
E. G.
,
Kargaki
S.
,
Kozisek
F.
,
Sigsgaard
T.
,
Hansen
B.
,
Schullehner
J.
,
Nahkur
R.
,
Galey
C.
,
Zwiener
C.
,
Vargha
M.
,
Righi
E.
,
Aggazzotti
G.
,
Kalnina
G.
,
Grazuleviciene
R.
,
Polanska
K.
,
Gubkova
D.
,
Bitenc
K.
,
Goslan
E. H.
,
Kogevinas
M.
&
Villanueva
C. M.
2020
Trihalomethanes in drinking water and bladder cancer burden in the European Union
.
Environmental Health Perspectives
128
(
1
),
1
14
.
Fardin Ehsan
M.
,
Barai
H. R.
,
Mominul Islam
M.
,
Abu Bin Hasan Susan
M.
,
Joo
S. W.
&
Miran
M. S.
2023
ZnO nanocomposites supported by acid-activated kaolinite as photocatalysts for the enhanced photodegradation of an organic dye
.
Materials Today Communications
36
.
Freundlich
H.
&
Hatfield
H. S.
1926
Colloid and Capillary Chemistry
.
Methuen and Co. Ltd.
,
London
, pp.
110
114
.
Ghosh
D.
&
Bhattacharyya
K. G.
2002
Adsorption of methylene blue on kaolinite
.
Applied Clay Science
20
,
295
300
.
Haghighat
M. H.
&
Mohammad-khah
A.
2020
Removal of trihalomethanes from water using modified montmorillonite
.
Acta Chimica Slovenica
67
,
1072
1081
.
Iriarte-velasco
U.
&
Jon
I. A.
2008
Natural organic matter adsorption onto granular activated carbons: Implications in the molecular weight and disinfection byproducts formation
.
Industrial & Engineering Chemistry Research
47
,
7868
7876
.
Karanfil
T.
,
Kitis
M.
,
Kilduff
J. E.
&
Wigton
A.
1999
Role of granular activated carbon surface chemistry on the adsorption of organic compounds. 2. Natural organic matter
.
Environmental Science & Technology
3225
3233
.
https://doi.org/10.1021/es9810179
.
Kothe
A.
,
Wachasunder
N.
,
Rodge
A.
,
Labhasetwar
P.
&
Maldhure
A.
2023
Trihalomethanes in developed and developing countries
.
Environmental Monitoring and Assessment
196
.
doi:10.1007/s10661-023-12106-8
.
Kutláková
K. M.
,
Tokarský
J.
&
Peikertová
P.
2014
Nanotechnology centre, VŠB –Technical University of Ostrava, 17. listopadu 15, 708 33 Ostrava, Czech Republic bIT4 Innovations Centre of Excellence, VŠB –Technical University of Ostrava, Czech Republic. ‘Functional and Eco-Friendly Nanocomposite Kaolinite/ZnO with High Photocatalyticactivity.’ DSpace at VSB Technical University of Ostrava. Available from: https://core.ac.uk/reader/94761620.
Liu
Z.
,
Pu
C.
,
Du
X.
,
Yin
H
. & Cheng, Y.
2023
Combined effects of pore structure and surface chemistry on water vapor adsorption characteristics of coal: Equilibrium, thermodynamic and kinetic studies
.
Arabian Journal of Chemistry
16
(
6
),
104790
.
https://doi.org/10.1016/j.arabjc.2023.104790
.
Lopes
E. C. N.
,
dos Anjos
F. S. C.
,
Vieira
E. F. S.
&
Cestari
A. R.
2003
An alternative Avrami equation to evaluate kinetic parameters of the interaction of Hg(II) with thin chitosan membranes
.
Journal of Colloid and Interface Science
263
(
2
),
542
547
.
Marczewski
A. W.
,
Deryło-Marczewska
A.
&
Słota
A.
2013
Adsorption and desorption kinetics of benzene derivatives on mesoporous carbons
.
Adsorption
19
(
2–4
),
391
406
.
Menya
E.
,
Olupot
P. W.
,
Storz
H.
,
Lubwama
M.
&
Kiros
Y.
2018
Production and performance of activated carbon from rice husks for removal of natural organic matter from water: A review
.
Chemical Engineering Research and Design
129
(
January 2018
),
271
296
.
http://dx.doi.org/10.1016/j.cherd.2017.11.008
.
Mishaqa
E.-S. I.
,
Radwan
E. K.
,
Ibrahim
M. B. M.
,
Hegazy
T. A.
&
Ibrahim
M. S.
2022
Multi-exposure human health risks assessment of trihalomethanes in drinking water of Egypt
.
Environmental Research
207
.
Misra
A. J.
,
Das
S.
,
Habeeb Rahman
A. P.
,
Das
B.
,
Jayabalan
R.
,
Behera
S. K.
,
Suar
M.
,
Tamhankar
A. J.
,
Mishra
A.
,
Stålsby Lundborg
C.
&
Tripathy
S. K.
2018
Doped ZnO nanoparticles impregnated on kaolinite (clay): A reusable nanocomposite for photocatalytic disinfection of multidrug resistant Enterobacter sp. under visible light
.
Journal of Colloid and Interface Science
530
,
610
623
.
https://doi.org/10.1016/j.jcis.2018.07.020
.
Modi
S.
,
Yadav
V. K.
,
Ali
D.
,
Choudhary
N.
,
Alarifi
S.
,
Sahoo
D. K.
,
Patel
A.
&
Fulekar
M. H.
2023
Photocatalytic degradation of methylene blue from aqueous solutions by using nano-ZnO/kaolin-clay-based nanocomposite
.
Water
15
(
22
),
1
19
.
Mohammed
A.
,
Ahmed
A. U.
,
Ibraheem
H.
,
Kadhom
M.
&
Yousif
E.
2022
Physisorption theory of surface area and porosity determination: A short review
.
AIP Conference Proceedings
2450
(
July
),
1
7
.
Mubarak
M. F.
,
Mohamed
A. M. G.
,
Keshawy
M.
,
elMoghny
T. A.
&
Shehata
N.
2022
Adsorption of heavy metals and hardness ions from groundwater onto modified zeolite: Batch and column studies
.
Alexandria Engineering Journal
61
(
6
),
4189
4207
.
https://doi.org/10.1016/j.aej.2021.09.041
.
Mustapha
S.
,
Tijani
J. O.
,
Ndamitso
M. M.
,
Abdulkareem
S. A.
,
Shuaib
D. T.
,
Mohammed
A. K.
&
Sumaila
A.
2020
The role of kaolin and kaolin/ZnO nanoadsorbents in adsorption studies for tannery wastewater treatment
.
Scientific Reports
10
(
1
),
1
22
.
https://doi.org/10.1038/s41598-020-69808-z
.
Nzeugang Nzeukou
A.
,
Fagel
N.
,
Njoya
A.
,
Beyala Kamgang
V.
,
Eko Medjo
R.
&
Chinje Melo
U.
2013
Mineralogy and physico-chemical properties of alluvial clays from Sanaga Valley (Center, Cameroon): Suitability for ceramic application
.
Applied Clay Science
83–84
,
238
243
.
Oke
E. A.
,
Oluyinka
O. A.
,
Afolabi
S. D.
,
Ibe
K. K.
&
Raheem
S. A.
2023
Latest insights on technologies for halides and halogenated compounds extraction/abatement from water and wastewater: Challenges and future perspectives
.
Journal of Water Process Engineering
53
,
103724
.
Raja
P. M. V.
&
Barron
A. R.
1934
Physical methods in chemistry
.
Nature
134
(
3384
),
366
367
.
Rudzinski
W.
&
Plazinski
W.
2008
Kinetics of dyes adsorption at the solid − solution interfaces: A theoretical description based on the two-step kinetic model
.
Environmental Science & Technology
42
(
7
),
2470
2475
.
https://doi.org/10.1021/es7025278
.
Sánchez-Duque
G.
,
Lozada-Castro
J. L.
,
Hara
E. L. Y.
,
Grassi
M. T.
,
Rosero-Moreano
M.
&
Ríos-Acevedo
J. J.
2022
Alternative ecosorbent for the determination of trihalomethanes in aqueous samples in SPME mode
.
Molecules
27
(
24
),
15
.
Sanz-Santos
E.
,
Álvarez-Torrellas
S.
,
Larriba
M.
,
Calleja-Cascajero
D.
&
García
J.
2022
Enhanced removal of neonicotinoid pesticides present in the decision 2018/840/EU by new sewage sludge-based carbon materials
.
Journal of Environmental Management
313
(
October 2021
),
16
.
Specification of Powdered Activated Carbon MS873
1984
Standardization and Industrial Research Institute Malaysia (SIRIM), Kuala Lumpur, Malaysia
.
Srivastav
A. L.
&
Kaur
T.
2020
Factors affecting the formation of disinfection by-products in drinking water: Human health risk
. In:
Disinfection By-Products in Drinking Water
, pp.
433
450
.
Standard Methods for the Examination of Water and Wastewater
2023
23rd ed. American Public Health Association, American Water Works Association, Water Environment Federation, Washington, DC
.
Unuabonah
E. I.
&
Adebowale
K. O.
2007
Kinetic and Thermodynamic Studies of the Adsorption of Lead (II) Ions onto Phosphate-Modified Kaolinite Clay (Author's Personal Copy)
.
Vela
N.
,
Gabriel
P.
&
Martínez-mench
M.
2022
Removal assessment of disinfection by-products (DBPs) from drinking water supplies by solar heterogeneous photocatalysis: A case study of trihalomethanes (THMs)
.
Journal of Environmental Management
321
(
July
),
8
.
Visvanathan
C.
, Marsono, B. D. & Basu, B.
1998
Removal of THMP by nanofiltration: Effects of interference parameters
.
Water Research
32
(
12
),
3527
3538
.
Widiartyasari Prihatdini
R.
,
Suratman
A.
&
Siswanta
D.
2023
Linear and nonlinear modeling of kinetics and isotherm of malachite green dye adsorption to trimellitic-modified pineapple peel
.
Materials Today: Proceedings
.
Zhang
D.
,
Wang
F.
,
Duan
Y.
,
Chen
S.
,
Zhang
A.
&
Chu
W.
2020
Removal of trihalomethanes and haloacetamides from drinking water during Tea brewing: removal mechanism and kinetic analysis
.
Water Research
184
,
116148
.
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