Modelling and Interpretation of Adsorption Isotherms
Nimibofa Ayawei, Augustus Newton Ebelegi, Donbebe Wankasi
Journal of Chemistry · 2017 · 2,955 citationsOpen access
Abstract
The need to design low-cost adsorbents for the detoxification of industrial effluents has been a growing concern for most environmental researchers. So modelling of experimental data from adsorption processes is a very important means of predicting the mechanisms of various adsorption systems. Therefore, this paper presents an overall review of the applications of adsorption isotherms, the use of linear regression analysis, nonlinear regression analysis, and error functions for optimum adsorption data analysis.
Cite this paper
Ayawei, N., Ebelegi, A. N., & Wankasi, D. (2017). Modelling and interpretation of adsorption isotherms. Journal of Chemistry, 2017, 1–11. https://doi.org/10.1155/2017/3039817
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