TY  - JOUR
TI  - Modelling and Interpretation of Adsorption Isotherms
AU  - Nimibofa Ayawei
AU  - Augustus Newton Ebelegi
AU  - Donbebe Wankasi
PY  - 2017
JO  - Journal of Chemistry
DO  - 10.1155/2017/3039817
UR  - https://doi.org/10.1155/2017/3039817
AB  - 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.
ER  -