News
Predicting filter performance of virus removal filters using a heterogeneous multilayer structure model
Feb 29, 2024
Feb 29, 2024
Asahi Kasei Medical Co., Ltd.
Asahi Kasei Medical Co., Ltd.
Asahi Kasei Medical Co., Ltd. (Headquarters: Chiyoda-ku, Tokyo; President: Ken Shinomiya) is pleased to announce the publication of a study, done in collaboration with Dr. Ranil Wickramasinghe from the University of Arkansas, demonstrating that the filtration behavior of virus removal filters, which can have different structure types, can be predicted using a rigorous calculation based on a heterogenous multilayer structure model.
Dr. Shirataki previously showed that virus removal filter performance can be predicted using a refined calculation method based on the Manabe model that took into consideration a multilayered membrane structure, with each layer having the same log-normal pore size distribution. However, this refined calculation method may not be applicable in certain situations because virus removal filters may have different pore size distributions in each layer.
Dr. Shirataki partnered with Dr. Ranil Wickramasinghe to investigate if a multilayer structure model comprised of theoretical layers with pore size distributions could be used to calculate and predict the filtration behavior of virus removal filters. Using this heterogeneous multilayer membrane structure model and numerical calculation methods, the team was able to quantitatively reproduce and analyze virus removability and filtration behavior of virus removal filters with a heterogenous membrane structure.
Using the numerical calculation methods presented in this study, we were able to show that filtration performance of virus removal filters can be predicted and quantified. As a company, we plan to continue our efforts and endeavors into research and development, creating high quality and functional products to ensure the safety of biotherapeutics worldwide.
*This study is published in Journal of Membrane Science.
Title: Predicting virus filter performance using an advanced membrane structural model
(Open Access: https://doi.org/10.1016/j.memsci.2023.121929)
Dr. Shirataki previously showed that virus removal filter performance can be predicted using a refined calculation method based on the Manabe model that took into consideration a multilayered membrane structure, with each layer having the same log-normal pore size distribution. However, this refined calculation method may not be applicable in certain situations because virus removal filters may have different pore size distributions in each layer.
Dr. Shirataki partnered with Dr. Ranil Wickramasinghe to investigate if a multilayer structure model comprised of theoretical layers with pore size distributions could be used to calculate and predict the filtration behavior of virus removal filters. Using this heterogeneous multilayer membrane structure model and numerical calculation methods, the team was able to quantitatively reproduce and analyze virus removability and filtration behavior of virus removal filters with a heterogenous membrane structure.
Using the numerical calculation methods presented in this study, we were able to show that filtration performance of virus removal filters can be predicted and quantified. As a company, we plan to continue our efforts and endeavors into research and development, creating high quality and functional products to ensure the safety of biotherapeutics worldwide.
*This study is published in Journal of Membrane Science.
Title: Predicting virus filter performance using an advanced membrane structural model
(Open Access: https://doi.org/10.1016/j.memsci.2023.121929)
