4.5 Article

Inversion of loading-implicit adsorption isotherms by means of the Lambert W function

期刊

出版社

WILEY
DOI: 10.1002/jctb.7189

关键词

implicit isotherm; Lambert W function; Elovich; Volmer; Jossens

向作者/读者索取更多资源

This paper explores the use of the Lambert W function to invert the loading-implicit isotherms of Elovich, Volmer, and Jossens to solve for adsorbed phase concentration as a function of liquid phase concentration. The practical implementation of the Lambert W function in Excel provides a novel method to fit loading-implicit isotherms to experimental data of water contaminants.
Background Simple isotherm models, such as the Langmuir and Freundlich equations, are frequently used to correlate water contaminant adsorption data. In the conventional data fitting approach, the Langmuir and Freundlich equations are fitted to experimental data by minimizing the difference between the measured and calculated adsorbed phase concentrations. However, some isotherm equations are implicit in adsorbed phase concentration. Such isotherms must be converted to explicit forms to allow the use of standard nonlinear regression methods in data correlation. This paper explores the use of the Lambert W function to invert the loading-implicit isotherms of Elovich, Volmer, and Jossens to solve for adsorbed phase concentration as a function of liquid phase concentration. Results The inverted Elovich, Volmer, and Jossens isotherms were fitted to literature adsorption data of water contaminants using the standard nonlinear regression procedure in Excel. Data fitting was accomplished by making use of a freely available Excel add-in and a highly accurate analytical approximation to evaluate the Lambert W function. The inverted isotherms were tested against the experimental isotherms of cobalt, uranium, and cephalosporin C. In all cases studied, satisfactory fits were obtained, validating the practicability of the proposed data fitting approach. Conclusions The loading-implicit Elovich, Volmer, and Jossens isotherms can be formulated as loading-explicit equations in terms of the Lambert W function, thus allowing the use of conventional least-squares fitting procedures in data correlation. The practical implementation of the Lambert W function in Excel provides a novel method to fit loading-implicit isotherms to experimental data of water contaminants. (c) 2022 Society of Chemical Industry (SCI).

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据