News Release

A novel column breakthrough model for fixed-bed adsorption based on a capacity-loading framework: A semi-mechanistic framework

Peer-Reviewed Publication

KeAi Communications Co., Ltd.

Sensitivity analysis of the SCLM illustrating the influence of model parameters on breakthrough curve characteristics (Ct/C0 vs time)

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Sensitivity analysis of the SCLM illustrating the influence of model parameters on breakthrough curve characteristics (Ct/C0 vs time): (a) effect of characteristic time ts, (b) effect of the lumped resistance parameter Ks, (c) effect of capacity depletion parameter cs, (d) effect of saturation dynamics parameter as, and (e) effect of loading exponent ns. The baseline sigmoidal SCLM profile is used for comparison.

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Credit: Clint Sutherland.

Fixed-bed adsorption columns are used across water purification, air treatment and resource recovery to trap contaminants as fluid flows through a packed bed of solid adsorbent. A major design question is predicting the "breakthrough" point — the moment treated effluent first exceeds acceptable contaminant levels — because it determines how long a bed can operate before replacement or regeneration. Traditional design models often rely on empirical fitting of breakthrough curves, which can limit physical insight and transferability between systems.

In a study published in the KeAi journal Environmental Surfaces and Interfaces, Clint Sutherland of the University of Trinidad and Tobago presents a new semi-mechanistic column breakthrough model based on a capacity-loading framework. Rather than fitting a curve after the fact, the model tracks the progressive loading of adsorption capacity along the length of the column, linking observable breakthrough behaviour to the underlying consumption of capacity within the bed.

“By grounding prediction in how capacity is actually loaded along the column, we give engineers a feasible tool for sizing and operating adsorbers without resorting to pure curve-fitting,” says corresponding author Clint Sutherland.


Contact the Author: Clint Sutherland, Unit for Project Management and Civil Infrastructure Systems, The University of Trinidad and Tobago, Trinidad and Tobago Email: clint.sutherland@utt.edu.tt


The publisher KeAi was established by Elsevier and China Science Publishing & Media Ltd to unfold quality research globally. In 2013, our focus shifted to open access publishing. We now proudly publish more than 300 world-class, open access, English language journals, spanning all scientific disciplines. Many of these are titles we publish in partnership with prestigious societies and academic institutions, such as the National Natural Science Foundation of China (NSFC).


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