PERFORMANCE AND ERROR EVALUATION OF TWO-PARAMETER ADSORPTION MODELS FOR ZINC ION REMOVAL VIA FLY ASH
DOI:
https://doi.org/10.59957/jctm.v60.i6.2025.17Keywords:
error matrix, regression analysis, two-parameter adsorption models, zinc ionsAbstract
In the present investigations, a series of batch experiments were conducted to analyze the adsorption behavior of flyash using eight two-parameter adsorption isotherm models. Each isotherm model was assessed using eleven distinct error functions to determine the most suitable model that can be used to design the adsorption process. The analysis relied on minimizing error values as the primary metric for model performance evaluation. Based on the analysis of error values, it was concluded that the ranking of the different isotherm models (in terms of accuracy and relative performance) is as follows: Temkin, Freundlich, Frenkel–Halsey–Hill, Frumkin, Elovich, Langmuir, Jovanovic, and Harkins-Jura. Amongst these, the Temkin isotherm emerged as the most reliable model for representing the adsorption process, whereas the Harkins-Jura model showed the least accuracy with the experimental data. These findings highlight the importance of error function analysis in accurately ranking isotherm models and selecting the most appropriate isotherm for specific adsorption studies.
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