Zaman, H.G. and Baloo, L. and Aziz, F. and Kutty, S.R. and Ashraf, A. (2022) COD adsorption and optimization from produced water using chitosan�ZnO nanocomposite. Applied Nanoscience (Switzerland), 12 (6). pp. 1885-1898. ISSN 21905509
Full text not available from this repository.Abstract
In this study, chitosan/ZnO nanocomposite was synthesized and employed for the first time as a selective adsorbent in produced water (PW) for the chemical oxygen demand (COD). Physical characteristics were studied using XRD, SEM, FTIR, BET, TGA, and XPS. Results showed that ZnO nanoparticles mobilized onto chitosan. The COD adsorption followed Langmuir isotherm with maximum monolayer adsorption. With a high coefficient of determination (0.98), COD adsorption followed the pseudo-second-order kinetics model. Furthermore, central composite design (CCD) in response surface methodology (RSM) was employed to assess different parameters� impact on COD adsorption. The parameters analyzed contain; solution pH, nanocomposite dose, and contact time. The COD removal efficiency was reported to be as high as 94.56. The experimental results were in good accord with the model�s predictions, demonstrating the value of the RSM technique in terms of optimization. Based on the present findings, it is possible to conclude that chitosan/ZnO nanocomposite, as a biocompatible, environmentally benign, and cost-effective material, can be a viable option for adsorption of organic pollutants and a way forward to a sustainable environment. © 2022, King Abdulaziz City for Science and Technology.
Item Type: | Article |
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Additional Information: | cited By 9 |
Uncontrolled Keywords: | Biocompatibility; Chemical oxygen demand; Chitosan; Cost effectiveness; II-VI semiconductors; Isotherms; Monolayers; Organic pollutants; ZnO nanoparticles, Chemical-oxygen demands; Chitosan�ZnO nanocomposite; FTIR; Optimisations; Physical characteristics; Response-surface methodology; Selective adsorbents; Synthesised; XRD; Zinc oxide nanoparticles, Adsorption |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 19 Dec 2023 03:23 |
Last Modified: | 19 Dec 2023 03:23 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/16715 |