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ß-cyclodextrin grafted multi-walled carbon nanotubes/chitosan (MWCNT/Cs/CD) nanocomposite for treatment of methylene blue-containing aqueous solutions.
Bazrafshan, Edris; Ahmadi Azqhandi, Mohammad Hossein; Foroughi, Maryam; Gholami, Zahra.
Afiliação
  • Bazrafshan E; Department of Environmental Health Engineering, School of Health, Torbat Heydariyeh University of Medical Sciences, Torbat, Heydariyeh, Iran; Health Sciences Research Center, Torbat Heydariyeh University of Medical Sciences, Torbat, Heydariyeh, Iran.
  • Ahmadi Azqhandi MH; Applied Chemistry Department, Faculty of Gas and Petroleum (Gachsaran), Yasouj University, Gachsaran, 75813-56001, Iran. Electronic address: mhahmadia58@gmail.com.
  • Foroughi M; Department of Environmental Health Engineering, School of Health, Torbat Heydariyeh University of Medical Sciences, Torbat, Heydariyeh, Iran; Health Sciences Research Center, Torbat Heydariyeh University of Medical Sciences, Torbat, Heydariyeh, Iran. Electronic address: Maryam_foroghi88@yahoo.com.
  • Gholami Z; Department of Chemistry, Omidiyeh Branch, Islamic Azad University, Omidiyeh, 6373193719, Iran.
Environ Res ; 231(Pt 3): 116208, 2023 08 15.
Article em En | MEDLINE | ID: mdl-37263469
ß-cyclodextrin (CD) was grafted with multi-walled carbon nanotubes/chitosan (MWCNTs/Cs) to obtain MWCNTs/Cs/CD nanocomposite (NC) for methylene blue (MB) adsorption from aqueous media. TEM, XRD, TGA, Raman spectra, and BET & BJH analyses were utilized to characterize and confirm the successful synthesis of as-prepared NC. MB capture was investigated by considering the parameters of pH (1.9-9.0), temperature (∼16-63 °C), sonication time (∼5-15 min), MB concentration (∼1.2-48 mg/L), and NC dose (0.03-0.26 mg). The obtained responses were then modelled using CCD, generalized regression neural network (GRNN), and least squares support vector machine (LS-SVM), of which the latter found to provide most reliable and accurate results (RMSE = 0.0235, MAE = 0.020, AAD = 0.0047, and R2 = 0.999). Moreover, the genetic algorithm-based optimization results showed that under the respective values of 7.05, 45.5 °C, 10 min, 23 mg/L, 0.12 g, MWCNTs/Cs/CD NC would be able to remove 96.75% of MB with an adsorption capacity of 603 mg/g, through different mechanisms mainly electrostatic interactions. Following from Dubinin-Radushkevich (D-R) isotherm (qs = 460.66 ± 8.9 and R2 > 0.99) and intraparticle diffusion kinetic (R2 = 0.75-0.90) models indicated a chemical adsorption mechanism. Besides, thermodynamic parameters (ΔH◦ = -66.9 kJ/mol, ΔG◦ = between -3.77 kJ/mol and -8.52 kJ/mol, and ΔS◦ = 237.1818 J/mol K) confirmed an endothermic and spontaneous nature for the adsorption. These findings along with appropriate recyclability (five times), turn the as prepared NC to a promising material in removing MB from aqueous solutions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Nanotubos de Carbono / Beta-Ciclodextrinas / Quitosana / Nanocompostos Tipo de estudo: Prognostic_studies Idioma: En Revista: Environ Res Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Irã

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Poluentes Químicos da Água / Nanotubos de Carbono / Beta-Ciclodextrinas / Quitosana / Nanocompostos Tipo de estudo: Prognostic_studies Idioma: En Revista: Environ Res Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Irã