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Modeling of Experimental Adsorption Isotherm Data

by 1,2
College of Computer and Information, Hohai University, Nanjing 210098, China
School of Mathematical and Information Engineering, Taizhou University, Linhai 317000, China
Academic Editor: Min Yao
Information 2015, 6(1), 14-22;
Received: 27 November 2014 / Revised: 16 December 2014 / Accepted: 19 January 2015 / Published: 22 January 2015
(This article belongs to the Special Issue Intelligent Data Analysis)
Adsorption is considered to be one of the most effective technologies widely used in global environmental protection areas. Modeling of experimental adsorption isotherm data is an essential way for predicting the mechanisms of adsorption, which will lead to an improvement in the area of adsorption science. In this paper, we employed three isotherm models, namely: Langmuir, Freundlich, and Dubinin-Radushkevich to correlate four sets of experimental adsorption isotherm data, which were obtained by batch tests in lab. The linearized and non-linearized isotherm models were compared and discussed. In order to determine the best fit isotherm model, the correlation coefficient (r2) and standard errors (S.E.) for each parameter were used to evaluate the data. The modeling results showed that non-linear Langmuir model could fit the data better than others, with relatively higher r2 values and smaller S.E. The linear Langmuir model had the highest value of r2, however, the maximum adsorption capacities estimated from linear Langmuir model were deviated from the experimental data. View Full-Text
Keywords: modeling; isotherm data; linear; non-linear; standard errors (S.E.) modeling; isotherm data; linear; non-linear; standard errors (S.E.)
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MDPI and ACS Style

Chen, X. Modeling of Experimental Adsorption Isotherm Data. Information 2015, 6, 14-22.

AMA Style

Chen X. Modeling of Experimental Adsorption Isotherm Data. Information. 2015; 6(1):14-22.

Chicago/Turabian Style

Chen, Xunjun. 2015. "Modeling of Experimental Adsorption Isotherm Data" Information 6, no. 1: 14-22.

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