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Mathematically modeling fixed-bed adsorption in aqueous systems

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Xu, Zhe, Cai, Jian-guo, Pan, Bing-cai·2013·Journal of Zhejiang University SCIENCE A

Abstract

Adsorption is one of the widely used processes in the chemical industry environmental application. As compared to mathematical models proposed to describe batch adsorption in terms of isotherm and kinetic behavior, insufficient models are available to describe and predict fixed-bed or column adsorption, though the latter one is the main option in practical application. The present review first provides a brief summary on basic concepts and mathematic models to describe the mass transfer and isotherm behavior of batch adsorption, which dominate the column adsorption behavior in nature. Afterwards, the widely used models developed to predict the breakthrough curve, i.e., the general rate models, linear driving force (LDF) model, wave propagation theory model, constant pattern model, Clark model, Thomas model, Bohart-Adams model, Yoon-Nelson model, Wang model, Wolborska model, and modified dose-response model, are briefly introduced from the mechanism and mathematical viewpoint. Their basic characteristics, including the advantages and inherit shortcomings, are also discussed. This review could help those interested in column adsorption to reasonably choose or develop an accurate and convenient model for their study and practical application.

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Metadata

Authors
Xu, Z., Cai, J.-G., & Pan, B.-C.
Venue
Journal of Zhejiang University SCIENCE A
Published
2013-03
Volume
14
Issue
3
Pages
155-176
ISSN
  • 1009-3095 (ISSN-L)
  • 1673-565X
  • 1862-1775
OpenAlex
W2122768602
Cited by
432
References
3
FWCI
16.99
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Mathematically modeling fixed-bed adsorption in aqueous systems. https://app.cochat.ai/papers/10.1631/jzus.a1300029
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Xu, Z., Cai, J.-G., & Pan, B.-C. (2013). Mathematically modeling fixed-bed adsorption in aqueous systems. Journal of Zhejiang University SCIENCE A. https://doi.org/10.1631/jzus.a1300029

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

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