Content area

Abstract

The present work targets to develop the cross-linked chitosan composite with different TiO2 phases (Degussa/Anatase) to attain two adsorbents namely cross-linked chitosan-epichlorohydrin/TiO2-Degussa (CS-ECH/TiO2-D) and cross-linked chitosan-epichlorohydrin/TiO2-Anatase (CS-ECH/TiO2-A). The physicochemical characteristics including crystalline nature, specific surface area, functional groups, surface morphology, and thermal stability of the prepared composites were identified by X-ray diffraction (XRD), Brunauer–Emmett–Teller (BET), Fourier transform infrared (FTIR), scanning electron microscope (SEM), and thermogravimetric and derivative thermogravimetric analyses (TGA-DTG), respectively. Response surface methodology combined with Box–Behnken design (RSM-BBD) was used to explore multivariate modeling and optimization of reactive red 4 (RR4) dye removal on CS-ECH/TiO2-D and CS-ECH/TiO2-A based on the related factors including A: adsorbent dose (0.5–1.5 g/100 mL), B: pH (4–10), and C: time (30–90 min). RR4 dye removal was 94.6 and 87.5% for CS-ECH/TiO2-D and CS-ECH/TiO2-A, respectively. The adsorption of RR4 molecules on the surface of CS-ECH/TiO2-(D/A) was constructed by many interactions e.g. electrostatic forces, n−π stacking, and H-bonding. The findings revealed that the biomaterials developed could be viable and convenient potential adsorbents for capturing azo dyes from polluted effluents.

Details

Title
Different TiO2 Phases (Degussa/Anatase) Modified Cross-Linked Chitosan Composite for the Removal of Reactive Red 4 Dye: Box–Behnken Design
Author
Abdulhameed, Ahmed Saud 1 ; Jawad, Ali H. 2 ; Vigneshwaran, Sivakumar 3 ; ALOthman, Zeid A. 4 ; Yaseen, Zaher Mundher 5 

 Al-Mansour University College, Department of Medical Instrumentation Engineering, Baghdad, Iraq (GRID:grid.444968.3) (ISNI:0000 0004 0417 6425); University of Warith Al-Anbiyaa, College of Engineering, Karbala, Iraq (GRID:grid.513648.d) (ISNI:0000 0004 7642 4328) 
 Universiti Teknologi MARA, Faculty of Applied Sciences, Shah Alam, Malaysia (GRID:grid.412259.9) (ISNI:0000 0001 2161 1343) 
 Kyung Hee University-Global Campus, 1732 Deogyeong-daero, Giheung-Gu, Environmental System Laboratory, Department of Civil Engineering, Yonggin-Si, Republic of Korea (GRID:grid.289247.2) (ISNI:0000 0001 2171 7818) 
 King Saud University, Chemistry Department, College of Science, Riyadh, Saudi Arabia (GRID:grid.56302.32) (ISNI:0000 0004 1773 5396) 
 University of Southern Queensland, UniSQ’s Advanced Data Analytics Research Group, School of Mathematics Physics and Computing, Toowoomba, Australia (GRID:grid.1048.d) (ISNI:0000 0004 0473 0844); Al-Ayen University, New Era and Development in Civil Engineering Research Group, Scientific Research Center, Nasiriyah, Iraq (GRID:grid.513203.6) 
Pages
5084-5099
Publication year
2022
Publication date
Dec 2022
Publisher
Springer Nature B.V.
ISSN
15662543
e-ISSN
15728919
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2736490118
Copyright
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.