Optimization of Removal of Cadmium (II) using Response Surface Methodology

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Abstract

A huge quantity of wastewater is generated and dumped directly into the natural environment. Industrial wastewater recycling is common in India and is mainly used for agriculture in the surrounding areas. This has led to high levels of cadmium and other heavy metals in the air, water, and soil. Natural adsorbents provide an effective solution for wastewater treatment. Wooden objects can be used to remove heavy metals from contaminated water. The current investigation attempts to remove cadmium from the cadmium-containing aqueous solution using the root of Calotropis Procera. The adsorption process was developed with batch studies to quantify the removal of cadmium (Y) using 3 flexible process variables namely, pH, residence time (CT), and adsorbent dose (AD). Interaction between variables, a 20 (23) central composite design (CCD) was developed using the response surface method (RSM). The results of the adsorption verification tests were performed and show excellent compliance with the model prediction. The value of F (550.78) and the return coefficient (R2) of 0.9796 proved the validity of the improved quadratic model.

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Hosamane, S., Bandekar, S., Patil, C., & Joshi, K. (2022). Optimization of Removal of Cadmium (II) using Response Surface Methodology. Trends in Sciences, 19(6). https://doi.org/10.48048/tis.2022.2997

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