Process optimization of cadmium adsorption on blended bamboo saw dust/rice-husk from aqueous solution using the response surface methodology

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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Nature
Abstract
Blending two or more feedstocks to enhance the adsorptive capacity of adsorbent materials for pollutant removal in aqueous systems has recently gained more attention. In this article, the adsorptive capability of blended bamboo (Oxytenanthera abyssinica) sawdust/rice husk (BSD/RH) at a ratio of 1:1 for the sorption of cadmium ions from aqueous solutions in batch mode was studied. The key process variable parameters; initial Cd2+ concentration (20–200 mg/L), initial solution pH (5–9), ionic strength (0.001–0.02 mol/L of KNO3), adsorbent dose (1–3 g), and contact time (15–180 min) were optimized to achieve maximum removal efficiency by employing the Box–Behnken design in response surface methodology. Results showed that; all variable operating parameters were significant in the removal process of Cd2+ from the solution by BSD/RH adsorbent, initial Cd2+ concentration, and adsorbent dosage being the most significant. The optimum Cd2+ removal of 90.56% and 88.97% of predicted and experimental respectively, were obtained at the pH (8.9), ionic strength (0.012 mol/L), contact time (125.93 min), and adsorbent dose (1.99 g). The optimized conditions were later used to study the Cd2+ removal efficiency of individual rice husk and bamboo sawdust and found 61.43 and 69.68% respectively. This observation signpost the potential of utilizing the biosorbent derived from blended feedstocks materials on removing heavy metals as cadmium
Description
Abstract. Full text available at https://doi.org/10.1007/s42250-022-00317-4
Keywords
Cadmium, Cadmium adsorption, Blended bamboo, Bamboo saw dust, Saw dust, Rice-husk, Aqueous solution, Bamboo, Oxytenanthera abyssinica
Citation
Kwikima, M. M., Chebude, Y., & Meshesha, B. T. (2022). Process optimization of cadmium adsorption on blended bamboo saw dust/rice-husk from aqueous solution using the response surface methodology. Chemistry Africa, 5(2), 279-292.
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