1. An eco-friendly chitosan-genipin/SiO 2 composite for reactive orange 16 dye removal: Insights into adsorption statistical modeling and mechanism.
- Author
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Wu R, Abdulhameed AS, Jawad AH, Musa SA, De Luna Y, ALOthman ZA, and Algburi S
- Subjects
- Adsorption, Kinetics, Hydrogen-Ion Concentration, Models, Statistical, Wastewater chemistry, Coloring Agents chemistry, Coloring Agents isolation & purification, Iridoids, Chitosan chemistry, Silicon Dioxide chemistry, Azo Compounds chemistry, Azo Compounds isolation & purification, Water Pollutants, Chemical chemistry, Water Pollutants, Chemical isolation & purification, Water Purification methods
- Abstract
The present work develops an effective bioadsorbent of cross-linked chitosan-genipin/SiO
2 adsorbent (CHI-GNP/SiO2 ). The developed CHI-GNP/SiO2 was employed for the removal of organic dye (reactive orange 16, RO16) from simulated wastewater. The optimization of the fundamental adsorption variables (CHI-GNP/SiO2 dose, time, and pH) via the Box-Behnken design (BBD) was attained for achieving maximal adsorption capacity and high removal efficiency. The good agreement between the Freundlich isotherms and empirical data of RO16 adsorption by CHI-GNP/SiO2 indicates that the adsorption process follows a multilayer adsorption mechanism. The reasonable agreement between the pseudo-second-order model and the kinetic data of RO16 adsorption by CHI-GNP/SiO2 was obtained. The maximum RO16 adsorption capacity (qmax ) of CHI-GNP/SiO2 was identified to be 57.1 mg/g. The adsorption capacity of CHI-GNP/SiO2 is attributed to its unique surface properties, including its highly porous structure and the presence of functional groups such as amino and hydroxyl groups. According to the results of this investigation, CHI-GNP/SiO2 has the potential to be an adsorbent for the removal of acidic dyes from wastewater., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)- Published
- 2024
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