Modeling of Experimental Adsorption Isotherm Data
By Xunjun Chen. Inf., 2015
503 citations recorded by the source corpus.
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.
Subfields: Condensed Matter Physics, Materials Chemistry, Water Science and Technology
View Paper: https://www.semanticscholar.org/paper/6a07739fec31199b20d4a9dec61ad29d0d45bb84
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In Condensed Matter Physics
In Materials Chemistry
In Water Science and Technology
Citations in the corpus
- Adsorptive removal of chromium(VI) from aqueous solution unto groundnut shell (2019, methodology): “The adsorption technique still remains the most effective and common applicable technology widely used over other techniques in global environmental protection areas (Xunjun 2015).”