Modeling and mechanism of reactive orange 16 dye adsorption by chitosan-glyoxal/ tio2 nanocomposite: Application of response surface methodology

Hybrid cross-linked chitosan-glyoxal/TiO2 nanocomposite (Chi-Gly/TNC) was prepared and employed for the adsorption of reactive orange 16 dye (RO16) from aqueous solution. Response surface methodology (RSM) with 4-level Box–Behnken design (BBD) was applied to optimize RO16 removal efficiency. Various...

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Published in:Desalination and Water Treatment
Main Author: Abdulhameed A.S.; Mohammad A.-T.; Jawad A.H.
Format: Article
Language:English
Published: Desalination Publications 2019
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075318136&doi=10.5004%2fdwt.2019.24384&partnerID=40&md5=acf9bae217e500ccd9a16446c3503671
id 2-s2.0-85075318136
spelling 2-s2.0-85075318136
Abdulhameed A.S.; Mohammad A.-T.; Jawad A.H.
Modeling and mechanism of reactive orange 16 dye adsorption by chitosan-glyoxal/ tio2 nanocomposite: Application of response surface methodology
2019
Desalination and Water Treatment
164

10.5004/dwt.2019.24384
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075318136&doi=10.5004%2fdwt.2019.24384&partnerID=40&md5=acf9bae217e500ccd9a16446c3503671
Hybrid cross-linked chitosan-glyoxal/TiO2 nanocomposite (Chi-Gly/TNC) was prepared and employed for the adsorption of reactive orange 16 dye (RO16) from aqueous solution. Response surface methodology (RSM) with 4-level Box–Behnken design (BBD) was applied to optimize RO16 removal efficiency. Various process parameters, viz., loading of TiO2 nanoparticles into Chi-Gly polymeric matrix (A: 0–50%), adsorbent dose (B: 0.04–0.14 g/50 mL), solution pH (C: 4–10), and temperature (D: 30–50°C) were selected for optimization process. Analysis of variance (ANOVA) was incorporated to judge the adequacy of model. The significant simultaneous interactions between input variables on RO16 removal efficiency were clearly observed by interactions between AB, AD, BC, and BD. Applying the method of the desirability function, optimization of TiO2 loading (50% TiO2: 50% chitosan labeled as Chi-Gly/TNC-50), adsorbent dose (0.09 g/50 mL), solution pH ~ 4.0, and temperature at 40°C gave a maximum of 93.2% RO16 removal efficiency by Chi-Gly/TNC-50. The adsorption of RO16 from aqueous solution at optimum input variables by using Chi-Gly/TNC-50 in batch mode was evaluated. The kinetic results were well described by the pseudo-first order kinetic, and the equilibrium data were in agreement with Langmuir and Freundlich isotherm models with maximum adsorption capacity of 390.5 mg/g. The adsorption mechanism was attributed to the dipole-dipole hydrogen bonding interactions, Yoshida H-bonding, n-π stacking interactions, and electrostatic attractions. © 2019 Desalination Publications. All rights reserved.
Desalination Publications
19443994
English
Article

author Abdulhameed A.S.; Mohammad A.-T.; Jawad A.H.
spellingShingle Abdulhameed A.S.; Mohammad A.-T.; Jawad A.H.
Modeling and mechanism of reactive orange 16 dye adsorption by chitosan-glyoxal/ tio2 nanocomposite: Application of response surface methodology
author_facet Abdulhameed A.S.; Mohammad A.-T.; Jawad A.H.
author_sort Abdulhameed A.S.; Mohammad A.-T.; Jawad A.H.
title Modeling and mechanism of reactive orange 16 dye adsorption by chitosan-glyoxal/ tio2 nanocomposite: Application of response surface methodology
title_short Modeling and mechanism of reactive orange 16 dye adsorption by chitosan-glyoxal/ tio2 nanocomposite: Application of response surface methodology
title_full Modeling and mechanism of reactive orange 16 dye adsorption by chitosan-glyoxal/ tio2 nanocomposite: Application of response surface methodology
title_fullStr Modeling and mechanism of reactive orange 16 dye adsorption by chitosan-glyoxal/ tio2 nanocomposite: Application of response surface methodology
title_full_unstemmed Modeling and mechanism of reactive orange 16 dye adsorption by chitosan-glyoxal/ tio2 nanocomposite: Application of response surface methodology
title_sort Modeling and mechanism of reactive orange 16 dye adsorption by chitosan-glyoxal/ tio2 nanocomposite: Application of response surface methodology
publishDate 2019
container_title Desalination and Water Treatment
container_volume 164
container_issue
doi_str_mv 10.5004/dwt.2019.24384
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85075318136&doi=10.5004%2fdwt.2019.24384&partnerID=40&md5=acf9bae217e500ccd9a16446c3503671
description Hybrid cross-linked chitosan-glyoxal/TiO2 nanocomposite (Chi-Gly/TNC) was prepared and employed for the adsorption of reactive orange 16 dye (RO16) from aqueous solution. Response surface methodology (RSM) with 4-level Box–Behnken design (BBD) was applied to optimize RO16 removal efficiency. Various process parameters, viz., loading of TiO2 nanoparticles into Chi-Gly polymeric matrix (A: 0–50%), adsorbent dose (B: 0.04–0.14 g/50 mL), solution pH (C: 4–10), and temperature (D: 30–50°C) were selected for optimization process. Analysis of variance (ANOVA) was incorporated to judge the adequacy of model. The significant simultaneous interactions between input variables on RO16 removal efficiency were clearly observed by interactions between AB, AD, BC, and BD. Applying the method of the desirability function, optimization of TiO2 loading (50% TiO2: 50% chitosan labeled as Chi-Gly/TNC-50), adsorbent dose (0.09 g/50 mL), solution pH ~ 4.0, and temperature at 40°C gave a maximum of 93.2% RO16 removal efficiency by Chi-Gly/TNC-50. The adsorption of RO16 from aqueous solution at optimum input variables by using Chi-Gly/TNC-50 in batch mode was evaluated. The kinetic results were well described by the pseudo-first order kinetic, and the equilibrium data were in agreement with Langmuir and Freundlich isotherm models with maximum adsorption capacity of 390.5 mg/g. The adsorption mechanism was attributed to the dipole-dipole hydrogen bonding interactions, Yoshida H-bonding, n-π stacking interactions, and electrostatic attractions. © 2019 Desalination Publications. All rights reserved.
publisher Desalination Publications
issn 19443994
language English
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