Scale‐up issues for commercial depth filters in bioprocessing
Significant increases in cell density and product titer have led to renewed interest in the application of depth filtration for initial clarification of cell culture fluid in antibody production. The performance of these depth filters will depend on the local pressure and velocity distribution withi...
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Veröffentlicht in: | Biotechnology and bioengineering 2022-04, Vol.119 (4), p.1105-1114 |
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creator | Nejatishahidein, Negin Kim, Minyoung Jung, Seon Y. Borujeni, Ehsan E. Fernandez‐Cerezo, Lara Roush, David J. Borhan, Ali Zydney, Andrew L. |
description | Significant increases in cell density and product titer have led to renewed interest in the application of depth filtration for initial clarification of cell culture fluid in antibody production. The performance of these depth filters will depend on the local pressure and velocity distribution within the filter capsule, but these are very difficult to probe experimentally, leading to challenges in both process design and scale‐up. We have used a combination of carefully designed experimental studies and computational fluid dynamics (CFD) to examine these issues in both lab‐scale (SupracapTM 50) and pilot‐scale (StaxTM) depth filter modules, both employing dual‐layer lenticular PDH4 media containing diatomaceous earth. The SupracapTM 50 showed a more rapid increase in transmembrane pressure and a more rapid DNA breakthrough during filtration of a Chinese Hamster Ovary cell culture fluid. These results were explained using CFD calculations which showed very different flow distributions within the modules. CFD predictions were further validated using measurements of the residence time distribution and dye binding in both the lab‐scale and pilot‐plant modules. These results provide important insights into the factors controlling the performance and scale‐up of these commercially important depth filters as well as a framework that can be broadly applied to develop more effective depth filters and depth filtration processes.
The authors evaluated the performance characteristics for both lab‐and pilot‐scale depth filtration modules for Chinese Hamster Ovary (CHO) cell clarification. The pilot‐scale module showed greater capacity and DNA removal due to more uniform flow distribution, which was verified by computational fluid dynamics, residence time distribution, and dye‐binding studies. |
doi_str_mv | 10.1002/bit.28035 |
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The authors evaluated the performance characteristics for both lab‐and pilot‐scale depth filtration modules for Chinese Hamster Ovary (CHO) cell clarification. The pilot‐scale module showed greater capacity and DNA removal due to more uniform flow distribution, which was verified by computational fluid dynamics, residence time distribution, and dye‐binding studies.</description><identifier>ISSN: 0006-3592</identifier><identifier>EISSN: 1097-0290</identifier><identifier>DOI: 10.1002/bit.28035</identifier><identifier>PMID: 35032027</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Animals ; Antibodies ; Bioprocessing ; Cell Count ; Cell culture ; Cell Culture Techniques - methods ; Cell density ; CFD ; CHO Cells ; clarification ; Computational fluid dynamics ; Computer applications ; Cricetinae ; Cricetulus ; depth filtration ; Diatomaceous earth ; DNA damage ; Filters ; Filtration ; Filtration - methods ; flow distribution ; Fluid dynamics ; Fluid filters ; Hydrodynamics ; lenticular stack ; Modules ; Residence time distribution ; scale‐up ; Velocity distribution</subject><ispartof>Biotechnology and bioengineering, 2022-04, Vol.119 (4), p.1105-1114</ispartof><rights>2022 Wiley Periodicals LLC</rights><rights>2022 Wiley Periodicals LLC.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3885-7117147794eae25358ec681352ec1758fc6fbb8bbce4cd28f4f6aed5018863523</citedby><cites>FETCH-LOGICAL-c3885-7117147794eae25358ec681352ec1758fc6fbb8bbce4cd28f4f6aed5018863523</cites><orcidid>0000-0001-8841-7043 ; 0000-0003-4690-0971 ; 0000-0001-7266-1084 ; 0000-0003-1865-9156</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fbit.28035$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fbit.28035$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,781,785,1418,27928,27929,45578,45579</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35032027$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Nejatishahidein, Negin</creatorcontrib><creatorcontrib>Kim, Minyoung</creatorcontrib><creatorcontrib>Jung, Seon Y.</creatorcontrib><creatorcontrib>Borujeni, Ehsan E.</creatorcontrib><creatorcontrib>Fernandez‐Cerezo, Lara</creatorcontrib><creatorcontrib>Roush, David J.</creatorcontrib><creatorcontrib>Borhan, Ali</creatorcontrib><creatorcontrib>Zydney, Andrew L.</creatorcontrib><title>Scale‐up issues for commercial depth filters in bioprocessing</title><title>Biotechnology and bioengineering</title><addtitle>Biotechnol Bioeng</addtitle><description>Significant increases in cell density and product titer have led to renewed interest in the application of depth filtration for initial clarification of cell culture fluid in antibody production. The performance of these depth filters will depend on the local pressure and velocity distribution within the filter capsule, but these are very difficult to probe experimentally, leading to challenges in both process design and scale‐up. We have used a combination of carefully designed experimental studies and computational fluid dynamics (CFD) to examine these issues in both lab‐scale (SupracapTM 50) and pilot‐scale (StaxTM) depth filter modules, both employing dual‐layer lenticular PDH4 media containing diatomaceous earth. The SupracapTM 50 showed a more rapid increase in transmembrane pressure and a more rapid DNA breakthrough during filtration of a Chinese Hamster Ovary cell culture fluid. These results were explained using CFD calculations which showed very different flow distributions within the modules. CFD predictions were further validated using measurements of the residence time distribution and dye binding in both the lab‐scale and pilot‐plant modules. These results provide important insights into the factors controlling the performance and scale‐up of these commercially important depth filters as well as a framework that can be broadly applied to develop more effective depth filters and depth filtration processes.
The authors evaluated the performance characteristics for both lab‐and pilot‐scale depth filtration modules for Chinese Hamster Ovary (CHO) cell clarification. The pilot‐scale module showed greater capacity and DNA removal due to more uniform flow distribution, which was verified by computational fluid dynamics, residence time distribution, and dye‐binding studies.</description><subject>Animals</subject><subject>Antibodies</subject><subject>Bioprocessing</subject><subject>Cell Count</subject><subject>Cell culture</subject><subject>Cell Culture Techniques - methods</subject><subject>Cell density</subject><subject>CFD</subject><subject>CHO Cells</subject><subject>clarification</subject><subject>Computational fluid dynamics</subject><subject>Computer applications</subject><subject>Cricetinae</subject><subject>Cricetulus</subject><subject>depth filtration</subject><subject>Diatomaceous earth</subject><subject>DNA damage</subject><subject>Filters</subject><subject>Filtration</subject><subject>Filtration - methods</subject><subject>flow distribution</subject><subject>Fluid dynamics</subject><subject>Fluid filters</subject><subject>Hydrodynamics</subject><subject>lenticular stack</subject><subject>Modules</subject><subject>Residence time distribution</subject><subject>scale‐up</subject><subject>Velocity distribution</subject><issn>0006-3592</issn><issn>1097-0290</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp10M1Kw0AQB_BFFFurB19AAl70kHZ2N5tsTqLFj0LBg_Ucks1Et-TL3QTpzUfwGX0SV1M9CJ6GgR__Gf6EHFOYUgA2y3Q3ZRK42CFjCnHkA4thl4wBIPS5iNmIHFi7dmskw3CfjLgAzoBFY3LxoNISP97e-9bT1vZovaIxnmqqCo3Saenl2HbPXqHLDo31dO1lumlNo9BaXT8dkr0iLS0ebeeEPN5cr-Z3_vL-djG_XPqKSyn8iNKIBlEUB5giE1xIVKGkXDBUNBKyUGGRZTLLFAYqZ7IIijDFXACVMnSKT8jZkOtOv7gvu6TSVmFZpjU2vU1YyACcjcHR0z903fSmdt85xV0DnAbcqfNBKdNYa7BIWqOr1GwSCslXq4lrNflu1dmTbWKfVZj_yp8aHZgN4FWXuPk_KblarIbIT6akgEg</recordid><startdate>202204</startdate><enddate>202204</enddate><creator>Nejatishahidein, Negin</creator><creator>Kim, Minyoung</creator><creator>Jung, Seon Y.</creator><creator>Borujeni, Ehsan E.</creator><creator>Fernandez‐Cerezo, Lara</creator><creator>Roush, David J.</creator><creator>Borhan, Ali</creator><creator>Zydney, Andrew L.</creator><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T7</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-8841-7043</orcidid><orcidid>https://orcid.org/0000-0003-4690-0971</orcidid><orcidid>https://orcid.org/0000-0001-7266-1084</orcidid><orcidid>https://orcid.org/0000-0003-1865-9156</orcidid></search><sort><creationdate>202204</creationdate><title>Scale‐up issues for commercial depth filters in bioprocessing</title><author>Nejatishahidein, Negin ; 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The performance of these depth filters will depend on the local pressure and velocity distribution within the filter capsule, but these are very difficult to probe experimentally, leading to challenges in both process design and scale‐up. We have used a combination of carefully designed experimental studies and computational fluid dynamics (CFD) to examine these issues in both lab‐scale (SupracapTM 50) and pilot‐scale (StaxTM) depth filter modules, both employing dual‐layer lenticular PDH4 media containing diatomaceous earth. The SupracapTM 50 showed a more rapid increase in transmembrane pressure and a more rapid DNA breakthrough during filtration of a Chinese Hamster Ovary cell culture fluid. These results were explained using CFD calculations which showed very different flow distributions within the modules. CFD predictions were further validated using measurements of the residence time distribution and dye binding in both the lab‐scale and pilot‐plant modules. These results provide important insights into the factors controlling the performance and scale‐up of these commercially important depth filters as well as a framework that can be broadly applied to develop more effective depth filters and depth filtration processes.
The authors evaluated the performance characteristics for both lab‐and pilot‐scale depth filtration modules for Chinese Hamster Ovary (CHO) cell clarification. The pilot‐scale module showed greater capacity and DNA removal due to more uniform flow distribution, which was verified by computational fluid dynamics, residence time distribution, and dye‐binding studies.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>35032027</pmid><doi>10.1002/bit.28035</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-8841-7043</orcidid><orcidid>https://orcid.org/0000-0003-4690-0971</orcidid><orcidid>https://orcid.org/0000-0001-7266-1084</orcidid><orcidid>https://orcid.org/0000-0003-1865-9156</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Animals Antibodies Bioprocessing Cell Count Cell culture Cell Culture Techniques - methods Cell density CFD CHO Cells clarification Computational fluid dynamics Computer applications Cricetinae Cricetulus depth filtration Diatomaceous earth DNA damage Filters Filtration Filtration - methods flow distribution Fluid dynamics Fluid filters Hydrodynamics lenticular stack Modules Residence time distribution scale‐up Velocity distribution |
title | Scale‐up issues for commercial depth filters in bioprocessing |
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