LAPSE:2023.2209
Published Article
LAPSE:2023.2209
A Review of the Dynamic Mathematical Modeling of Heavy Metal Removal with the Biosorption Process
Avijit Basu, Syed Sadiq Ali, SK Safdar Hossain, Mohammad Asif
February 21, 2023
Biosorption has great potential in removing toxic effluents from wastewater, especially heavy metal ions such as cobalt, lead, copper, mercury, cadmium, nickel and other ions. Mathematically modeling of biosorption process is essential for the economical and robust design of equipment employing the bioadsorption process. However, biosorption is a complex physicochemical process involving various transport and equilibrium processes, such as absorption, adsorption, ion exchange and surface and interfacial phenomena. The biosorption process becomes even more complex in cases of multicomponent systems and needs an extensive parametric analysis to develop a mathematical model in order to quantify metal ion recovery and the performance of the process. The biosorption process involves various process parameters, such as concentration, contact time, pH, charge, porosity, pore size, available sites, velocity and coefficients, related to activity, diffusion and dispersion. In this review paper, we describe the fundamental physical and chemical processes involved in the biosorption of heavy metals on various types of commonly employed biosorbents. The most common steady state and dynamic mathematical models to describe biosorption in batch and fixed-bed columns are summarized. Mathematical modeling of dynamic process models results in highly coupled partial differential equations. Approximate methods to study the sensitivity analysis of important parameters are suggested.
Keywords
Batch Process, biosorption, equilibrium, fixed-bed, heavy metals, Modelling
Suggested Citation
Basu A, Ali SS, Hossain SS, Asif M. A Review of the Dynamic Mathematical Modeling of Heavy Metal Removal with the Biosorption Process. (2023). LAPSE:2023.2209
Author Affiliations
Basu A: Department of Chemical Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia
Ali SS: Department of Chemical Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia
Hossain SS: Department of Chemical Engineering, King Faisal University, Al-Ahsa 31982, Saudi Arabia [ORCID]
Asif M: Department of Chemical Engineering, King Saud University, Riyadh 11421, Saudi Arabia [ORCID]
Journal Name
Processes
Volume
10
Issue
6
First Page
1154
Year
2022
Publication Date
2022-06-08
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr10061154, Publication Type: Review
Record Map
Published Article

LAPSE:2023.2209
This Record
External Link

doi:10.3390/pr10061154
Publisher Version
Download
Files
[Download 1v1.pdf] (1.3 MB)
Feb 21, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
126
Version History
[v1] (Original Submission)
Feb 21, 2023
 
Verified by curator on
Feb 21, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.2209
 
Original Submitter
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version