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

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

Funder:

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Conflict of interest:

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

See the article:

Sutherland, C., A novel column breakthrough model for fixed-bed adsorption based on a capacity-loading framework: A semi-mechanistic framework, Environmental Surfaces and Interfaces, 4 (2026) 454-465. https://doi.org/10.1016/j.esi.2026.08.003