Advances in Chemical Engineering and Science

Volume 13, Issue 1 (January 2023)

ISSN Print: 2160-0392   ISSN Online: 2160-0406

Google-based Impact Factor: 1.41  Citations  h5-index & Ranking

Modelling and Optimisation of Copper Adsorption in Solution by the Response Surface Method

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DOI: 10.4236/aces.2023.131004    100 Downloads   453 Views  

ABSTRACT

Copper is considered a heavy metal that can be toxic at certain concentrations and its presence in water is a potential threat to public health. These heavy metals also contribute to a remarkable degradation of the environment, hence the need for effective treatment methods to remove them. In this study, a mixture of titaniferous sand and calcium silicate was used as adsorbent material to eliminate copper in solution. The calcium silicate was synthesised from fluosilicic acid, which is a by-product of phosphoric acid manufacture. The titaniferous sand is a residue from a mining industry. Both adsorbents were characterised by infrared spectroscopy and X-ray fluorescence to determine their compositions and physicochemical properties. The response surfaces, through the Box-Behnken model, were used to model and optimise various adsorption parameters, namely initial copper concentration (A: 60 - 200 mg/L), adsorbent dose (B: 0.1 - 0.6 g) and pH (C: 4 - 10). The copper removal efficiency (98.92%), after statistical analysis, was obtained under the following optimal conditions: an adsorbent dose of 0.55 g, an initial copper concentration of 197.25 mg/L and a pH of 9.85. The study of the effects of the operating parameters showed that they had a positive effect on the copper removal efficiency.

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Ba, K. , Toure, A. , Ndiaye, S. , Diop, M. and Sambe, F. (2023) Modelling and Optimisation of Copper Adsorption in Solution by the Response Surface Method. Advances in Chemical Engineering and Science, 13, 36-49. doi: 10.4236/aces.2023.131004.

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