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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.
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1 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)
2 Universiti Teknologi MARA, Faculty of Applied Sciences, Shah Alam, Malaysia (GRID:grid.412259.9) (ISNI:0000 0001 2161 1343)
3 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)
4 King Saud University, Chemistry Department, College of Science, Riyadh, Saudi Arabia (GRID:grid.56302.32) (ISNI:0000 0004 1773 5396)
5 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)





