Related Experiment Video
Updated: Oct 27, 2025

Experimental Column Setup for Studying Anaerobic Biogeochemical Interactions Between Iron OxyHydroxides, Trace Elements, and Bacteria
Published on: December 19, 2017
Deeper Insights into the Bohart-Adams Model in a Fixed-Bed Column
Qili Hu1, Shuyue Pang1, Dan Wang1
1College of Ecology and Environment, Chengdu University of Technology, Chengdu 610059, China.
New Bohart-Adams models improve asymmetric breakthrough curve modeling in column experiments. These models offer better fits for adsorbate and adsorbent behavior, enhancing predictions for environmental remediation applications.
Area of Science:
- Environmental Chemistry
- Chemical Engineering
- Adsorption Science
Background:
- The Bohart-Adams model is a standard for column breakthrough curve analysis.
- It often fails to accurately model asymmetric breakthrough curves.
- Improved modeling is crucial for optimizing adsorption processes.
Purpose of the Study:
- To develop and validate novel Bohart-Adams models for asymmetric breakthrough curves.
- To introduce the n-order Bohart-Adams and fractal-like Bohart-Adams models.
- To compare their performance against the traditional Bohart-Adams model.
Main Methods:
- Mathematical formulation of the n-order and fractal-like Bohart-Adams models.
- Experimental validation using norfloxacin and Cu(II) adsorption in fixed-bed columns.
- Statistical analysis of model fitting using R² and χ² values.
Main Results:
- The n-order model captures nonlinear decay, while the fractal-like model addresses diffusion on heterogeneous surfaces.
- Both new models demonstrated superior fitting performance compared to the original Bohart-Adams model.
- The fractal-like Bohart-Adams and modified dose-response models achieved excellent fits for Cu(II) and norfloxacin, respectively.
Conclusions:
- The proposed n-order and fractal-like Bohart-Adams models provide enhanced accuracy for asymmetric breakthrough curve modeling.
- These models offer a more practical approach for predicting adsorption behavior in column systems.
- The findings contribute to better design and operation of adsorption-based separation and purification processes.
Related Concept Videos
Column Efficiency: Rate Theory
During elution, a solute molecule experiences numerous transitions between stationary and mobile phases, exhibiting irregular residence times in...
Gas Chromatography: Types of Columns and Stationary Phases
For an analyte to remain on the column for a sufficient amount of time, it must exhibit some level of compatibility (or...
Principles Of Column Chromatography
Chromatography: Introduction
The phase in which the compounds linger or on which the compounds adsorb is called the stationary phase, whereas the mobile phase is the solvent that carries the solutes to be analyzed. In traditional column chromatography, the mixture flows through the stationary phase, and the compounds partition between the stationary and mobile phases...
Column Efficiency: Plate Theory
A higher number of theoretical plates signifies better column efficiency and improved separation capabilities. Plate height affects bandwidth and separation quality; it is inversely...
Analyte Adsorption and Distribution

