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Optimization of a fixed bed column adsorption of Fast Green dye on used black tea leaves from aqueous solution

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Abstract

Industrial wastewater treatment process has frequently conducted by fixed bed column adsorption process. Various types of adsorbents have been examined for their applicability in the treatment of different types of effluents. This study presents the optimization of a fixed bed column continuous adsorption of Fast Green (FG) dye on used black tea leaves (UBTL) as a low cost adsorbent from an aqueous solution. Continuous adsorption experiments were performed using a fixed bed column of UBTL to evaluate the feasibility of the process for its industrial application. Prepared UBTL was characterized by scanning electron microscope. The effects of initial FG dye concentration, column length and column diameter were investigated to determine the maximum exhaustive capacity of UBTL column to adsorb FG dye. The results revealed that higher value of dye concentration and column length were favorable, but high column diameter was unfavorable for adsorptive removal of FG dye by UBTL. Thomas and Yoon–Nelson models were employed to predict the characteristic parameters of the column to operate properly. The Thomas rate constant, kT, maximum adsorption capacity (qo), Yoon–Nelson rate constant, kYN, and breakthrough time (τ) were calculated from those models and optimized the operational conditions. FTIR analysis suggested that the adsorption is proceeded by strong interaction of FG dye with the OH groups of UBTL.

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Acknowledgements

Authors would like to thank to Dhaka University-UGC Research Grant (Project No. Reg/Admn-3/2014-15/58525-27) for partial support to carried out the study. Authors also thankful to the Department of Chemistry, University of Dhaka, for given their facilities to perform the research work.

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Correspondence to Mohammad Abul Hossain.

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Ahmed, R., Hossain, M.A. Optimization of a fixed bed column adsorption of Fast Green dye on used black tea leaves from aqueous solution. J IRAN CHEM SOC 19, 381–391 (2022). https://doi.org/10.1007/s13738-021-02310-z

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  • DOI: https://doi.org/10.1007/s13738-021-02310-z

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