Design and optimization of Single Pass Tangential Flow Filtration for inline concentration of monoclonal antibodies
Journal of Membrane Science, ISSN: 0376-7388, Vol: 643, Page: 120047
2022
- 8Citations
- 45Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
A number of Single Pass Tangential Flow Filtration (SPTFF) systems have recently been commercialized for inline concentration of monoclonal antibodies and other biotherapeutics, both to resolve bottlenecks in existing processes and as part of the development of integrated continuous downstream processes. The objective of this study was to examine the design and optimization of SPTFF modules using a previously developed mathematical model for the filtrate flux and pressure drop that specifically accounts for the concentration dependence of the antibody viscosity and osmotic pressure as well as the variation of the flow rate and antibody concentration with the position in the long pathlength SPTFF device. Model simulations were performed to examine the effects of channel width, length, and cassette staging (number of parallel cassettes in each stage) on SPTFF performance. The concentration factor (conversion) was greatest for a long thin channel configuration, but this also caused very large feed-side pressure drops. The use of cascade configurations, with a greater number of parallel channels near the feed inlet, significantly reduced the pressure drop but with a corresponding increase in total membrane area. A key factor governing the SPTFF performance was the increase in viscosity of the antibody solution at high conversion. These results provide important insights into the design and optimization of SPTFF systems for monoclonal antibody processing.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S037673882100987X; http://dx.doi.org/10.1016/j.memsci.2021.120047; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85118831647&origin=inward; https://linkinghub.elsevier.com/retrieve/pii/S037673882100987X; https://dx.doi.org/10.1016/j.memsci.2021.120047
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know