Mechanism of organic pollutants sorption from aqueous solution by cationic tunable organoclays

Shah, Kinjal J.; Pan, Shu-Yuan; Shukla, Atindra D.; Shah, Dinesh O.; Chiang, Pen‐Chi

doi:10.1016/j.jcis.2018.05.094

Cited by 35 publications

(22 citation statements)

References 29 publications

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“…At alkaline pHs, NP adsorption decreased. The obtained results are in line with previously obtained ones that deprotonation of organic molecules (phenolic) took place and promoted diffusions [49]. Considering pH zpc of the modified MWCNTs (i.e., 2.3) and pK a of NP (i.e., 10.7; [39]), at neutral pHs (e.g., 4-10), the adsorption of NP onto the MWCNTs is favored due to the weak electrostatic interaction and H-bond formation between the negatively charged MWCNTs and NP.…”

Section: Characterization Of Adsorbentsupporting

confidence: 92%

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Adsorption of Nonylphenol to Multi-Walled Carbon Nanotubes: Kinetics and Isotherm Study

et al. 2018

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We explored the occurrence and distribution of nonylphenol (NP) in 13 Taiwanese source waters. From all the surveyed waters, NP was detected at a high concentration, which could be attributed to contamination by wastewater discharges. In this study, we applied modified multi-walled carbon nanotubes (MWCNTs) for removing NP from aqueous solution. The impact of a few experimental factors, i.e., pH, contact time, MWCNTs dose, and temperature on the NP removal efficiency of modified MWCNTs was studied. The maximum adsorption capacity of the MWCNTs was observed to be 1040 mg NP/g when the initial NP concentration was 2.5 mg/L, and the solution pH was 4. The adsorption process followed the Elovich kinetics and the Elovich isotherm, indicating it is multilayer adsorption. The thermodynamic analysis demonstrated the NP adsorption by MWCNTs was thermodynamically satisfactory and, for the most part, endothermic as in the case of phenol adsorption. The result of the current study demonstrated the significance of free binding sites and the pore size of MWCNTs in the NP adsorption. This paper will help to better comprehend the adsorption behavior and mechanism of alkyl phenolic compounds onto MWCNTs.

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Section: Characterization Of Adsorbentsupporting

confidence: 92%

“…The NP adsorption capacity increases with the increase in the adsorbent surface area (S 0 ) [45]. Moreover, the increase in the surface area of the adsorbent strongly correlates with the equilibrium adsorption capacity [49]. This kind of relationship has already been described in the literature [52].…”

Section: Adsorption Kineticsmentioning

confidence: 63%

Adsorption of Nonylphenol to Multi-Walled Carbon Nanotubes: Kinetics and Isotherm Study

et al. 2018

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“…When benzyl substituted (OFS-B) silane was compared to liner (OFS-L) silane, the contact angle increased dramatically. The benzyl substitution resisted water in the clay structure by preventing interlayer (d-spacing) spacing and soil structure by higher-stacking (stearic) effects [29]. The results indicate that, after using OFS-B and OFS-L silane modifiers, variation in clay and soil physicochemical parameters occur.…”

Section: Characterization Of Silane Modified Clay and Soilmentioning

confidence: 87%

“…Silane modified clay and soil were prepared as in previous work by Shah et al [27,29] and Gupta et al [28]. In short, the organoclays/soils were synthesized in the laboratory by condensing clay and soil particles with an aqueous silane material solution (OFS-B and OFS-L) (see Figure 1).…”

Section: Preparation Of Silane Modify Clay/soilmentioning

confidence: 99%

“…However, a chemical modifier containing benzyl substitutes is chosen in order to obtain desired properties such as hydrophobicity [27]. According to previously published clay chemistry research, the benzyl ring acts as a flat block or tile structure in clay galleries and prevents water from penetrating clay sites [27,29]. Hydrophobic surfaces are created by the type of organic substituents, the degree of surface coverage, unreacted groups, and silane dispersion.…”

Section: Introductionmentioning

confidence: 99%

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Removal of Cd (II) Ions from Bioretention System by Clay and Soil Wettability

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et al. 2021

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In this work, a silane modifier with benzyl substitutes (OFS-B) and linear substitutes (OFS-L) was used to modify bentonite clay and soil, and the results were characterized by Fourier transform-infrared absorption spectroscopy (FT-IR) and powder-X-ray diffraction (XRD) analysis. A contact angle analysis was performed to determine the wettability of modified clay and soil. The findings revealed that silane-modified OFS-L clay and soil produced wettable surfaces, while OFS-B exhibited hydrophobic properties. These clays and soils were used in a bioretention system for Cd (II) removal. In the study, seven different types of bioretention systems, including natural, OFS-L, and OFS-B modified clay and soil, as well as natural, OFS-L, and OFS-B modified soil, were applied to Cyperus alternifolius plants without an additional layer. The removal capacity of Cd (II) was measured in the following order: modified clay > modified soil > original clay/soil > no layer, i.e., 99.48%, 92.22%, 88.10/78.5%, and 30.0%, respectively. OFS-L removed more Cd (II) than OFS-B during the modification. OFS-L now improves the bioavailability and accumulation of Cd (II) in the plant (18.5 µg/g) and has a higher chlorophyll-b concentration (1.92 mg/g fresh weight) than other systems. The wettable clay exhibited clay leaching into the various levels of the bioretention system. In the bioretention system, benzyl substituted clay prevented the penetration of water and formed a Cd (II) agglomeration. When compared to non-wettable modifiers, these results indicated that wettable clay material could be a capable material for removing Cd (II).

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Prediction of asphaltene adsorption capacity of clay minerals using machine learning

et al. 2022

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A thorough understanding of asphaltene adsorption on clay minerals is particularly important in oil production and contaminated soil remediation using claybased adsorbents. In this paper, we introduced a machine learning approach as a reliable alternative for commonly used adsorption isotherms that suffer from inherent limitations in the prediction of asphaltene adsorption onto clay minerals. Machine learning (ML) models, namely multilayer perceptron (MLP), support vector machine (SVM), decision tree (DT), random forest (RF), and committee machine intelligent system (CMIS) combined with two optimizers were used. Experimental data (142 data points for six different clay minerals) was used for the modelling. To improve the accuracy of the smart models, a comprehensive data preparation such as outlier removal and feature selection was carried out. The results showed that relatively all the proposed models predict asphaltene adsorption on clay minerals with acceptable precision. Nevertheless, the MLP model showed superior performance compared with other models in which the overall root mean square error (RMSE) and coefficient of determination (R 2 ) values of 6.72 and 0.93 were obtained, respectively. Finally, the developed MLP model was compared with the well-known adsorption isotherms of Langmuir and Freundlich and exhibited superior performance.

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Mechanism of organic pollutants sorption from aqueous solution by cationic tunable organoclays

Cited by 35 publications

References 29 publications

Adsorption of Nonylphenol to Multi-Walled Carbon Nanotubes: Kinetics and Isotherm Study

Adsorption of Nonylphenol to Multi-Walled Carbon Nanotubes: Kinetics and Isotherm Study

Removal of Cd (II) Ions from Bioretention System by Clay and Soil Wettability

Prediction of asphaltene adsorption capacity of clay minerals using machine learning

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