Modeling magnetic separation for hIgG purification: A theoretical and experimental study

High-gradient magnetic separation (HGMS) is a promising solution for high-throughput downstream processes in life sciences, enabling direct biomolecule capture from complex media. Despite its potential, challenges in scalability and parameter optimization limit industrial application. This study presents a detailed mechanistic model for HGMS in bioprocessing, integrating multiscale magnetic particle trajectory prediction with macroscopic mass balance models that include adsorption and desorption on particle surfaces. The model was validated with a human Immunoglobulin G capture case study, achieving strong agreement between simulations and experiments (max. 1.7% error in recovery per elution cycle). This framework supports in-silico optimization, scalability, and broader applicability of HGMS in bio-manufacturing.     «

High-gradient magnetic separation (HGMS) is a promising solution for high-throughput downstream processes in life sciences, enabling direct biomolecule capture from complex media. Despite its potential, challenges in scalability and parameter optimization limit industrial application. This study presents a detailed mechanistic model for HGMS in bioprocessing, integrating multiscale magnetic particle trajectory prediction with macroscopic mass balance models that include adsorption and desorption...     »