An Overview of Using Error function in Adsorption Isotherm Modeling

Over the past years, a large number of statistical expressions used as a measure of accuracy, collectively referred to as error functions. These functions use to determine the best fitting data. Since accurate adsorption equilibrium information are necessary for the analysis and design of adsorption, error functions are used to valuation the validity of the adsorption mathematical models with experimental results by finding the most appropriate isotherm. Therefore, this overall review provides a definition of a number of common error function and explains the use of these functions in determine optimal adsorption data and chose the right isotherm.

Adsorption, Error function, Langmuir, Freundlich, Sips, Temkin, Radke−Prausnitz.