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Cited by 380

The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.

On validity, physical meaning, mechanism insights and regression of adsorption kinetic models

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Vareda, João P.·2023·Journal of Molecular Liquids

Abstract

The study of adsorption kinetics is ubiquitous when reporting new adsorbent materials in the literature. The information these tests provide are no doubt valuable, but the conclusions drawn from adsorption kinetic models are many times contradictory between papers. In this work, the validity and meaning of common kinetic models are reviewed from literature dealing with their mathematical development, and are discussed. It is found that the most common models, the pseudo second order and pseudo first order models, have the ability to fit to kinetic data originating from systems limited by the surface reaction and by diffusion. Thus, these models are not associated with just one adsorption mechanism and further precautions when analyzing the data should be taken. Other less common models are also discussed, as they can be used to gain clearer insights into the rate limiting step. Another important topic discussed is the type of regression used. Linear regression has a bias toward the pseudo second order model and the estimated parameters can be very bad, which is particularly true for the pseudo-first order model. Thus, the wrong kinetic model is more easily chosen. The benefits of employing nonlinear regression and criteria for model selection are elaborated upon, using case studies reporting the adsorption of different solutes as examples.

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Metadata

Authors
Vareda, J. P.
Venue
Journal of Molecular Liquids
Publisher
Elsevier BV
Published
2023-04
Volume
376
Pages
121416
ISSN
0167-7322 (ISSN-L)
OpenAlex
W4319335659
Cited by
380
References
63
FWCI
28.88
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: On validity, physical meaning, mechanism insights and regression of adsorption kinetic models. https://app.cochat.ai/papers/10.1016/j.molliq.2023.121416
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Vareda, J. P. (2023). On validity, physical meaning, mechanism insights and regression of adsorption kinetic models. Journal of Molecular Liquids. https://doi.org/10.1016/j.molliq.2023.121416

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.