Beyond heuristics: CFD‐based novel multiparameter scale‐up for geometrically disparate bioreactors demonstrated at industrial 2kL–10kL scales

The timely delivery of the most up‐to‐date medicines and drug products is essential for patients throughout the world. Successful scaling of the bioreactors used within the biopharmaceutical industry plays a large part in the quality and time to market of these products. Scale and topology differenc...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Biotechnology and bioengineering 2020-06, Vol.117 (6), p.1710-1723
Hauptverfasser: Scully, James, Considine, Laura B., Smith, Mark T., McAlea, Eamonn, Jones, Nephi, O'Connell, Edel, Madsen, Emilee, Power, Martin, Mellors, Philip, Crowley, John, O'Leary, Niall, Carver, Scott, Van Plew, Daniel
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1723
container_issue 6
container_start_page 1710
container_title Biotechnology and bioengineering
container_volume 117
creator Scully, James
Considine, Laura B.
Smith, Mark T.
McAlea, Eamonn
Jones, Nephi
O'Connell, Edel
Madsen, Emilee
Power, Martin
Mellors, Philip
Crowley, John
O'Leary, Niall
Carver, Scott
Van Plew, Daniel
description The timely delivery of the most up‐to‐date medicines and drug products is essential for patients throughout the world. Successful scaling of the bioreactors used within the biopharmaceutical industry plays a large part in the quality and time to market of these products. Scale and topology differences between vessels add a large degree of complication and uncertainty within the scaling process. Currently, this approach is primarily achieved through extensive experimentation and facile empirical correlations, which can be costly and time consuming while providing limited information. The work undertaken in the current study demonstrates a more robust and complete approach using computational fluid dynamics (CFD) to provide potent multiparameter scalability, which only requires geometric and material properties before a comprehensive and detailed solution can be generated. The CFD model output parameters that can be applied in the scale‐up include mass transfer rates, mixing times, shear rates, gas hold‐up values, and bubble residence times. The authors examined three bioreactors with variable geometries and were able to validate them based on single‐phase and multiphase experiments. Furthermore, leveraging the resulting CFD output information enabled the authors to successfully scale‐up from a known 2kL to a novel and disparate 5kL single‐use bioreactor in the first attempted cell culture. This multiparameter scaling approach promises to ultimately lead to a reduction in the time to market providing patients with earlier access to the most groundbreaking medicines. In this study, the authors used CFD methods to successfully scale up from a known 2kL bioreactor to a novel and disparate 5kL single‐use bioreactor in the first attempted cell culture. This approach leveraged numerous scaling parameters including mass transfer rates, mixing times, shear rates, gas holdup values and bubble residence times and promises to ultimately lead to a reduction in the time to market providing patients with earlier access to the most groundbreaking medicines.
doi_str_mv 10.1002/bit.27323
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2376230997</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2376230997</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3903-a5721cf2aa5d7f70bc27902b765b65e1884545bef3a20df34ed9431f867c37083</originalsourceid><addsrcrecordid>eNp10cFu1DAUBVALUdGhsOAHkCU2sEj7bCdxwo4OlFYaiU1ZR479Am6deLAd0Oz6CUj9w34JHlK6qMTKeldHV5YuIa8YHDMAftLbdMyl4OIJWTFoZQG8hadkBQB1IaqWH5LnMV7lUzZ1_YwcCs5yytmK3J7izk-Gfsc52Jisju_p-uzj3c3vXkU0dPI_0dFxdsluVVAjJgw0auUwk3lLBx_oN_Q5DzanbkeNjXuZkPbWB1Q6-RCpwdFPMe1zQ1WidjJzPq1ylF9v7m5uGVxvluL4ghwMykV8ef8eka9nny7X58Xmy-eL9YdNoUULolCV5EwPXKnKyEFCr7lsgfeyrvq6QtY0ZVVWPQ5CcTCDKNG0pWBDU0stJDTiiLxderfB_5gxpm60UaNzakI_x44LWXMBbSszffOIXvk5TPl3WbVZlExCVu8WpYOPMeDQbYMdVdh1DLr9Ul1eqvu7VLav7xvnfkTzIP9Nk8HJAn5Zh7v_N3WnF5dL5R8Eb6FY</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2399974170</pqid></control><display><type>article</type><title>Beyond heuristics: CFD‐based novel multiparameter scale‐up for geometrically disparate bioreactors demonstrated at industrial 2kL–10kL scales</title><source>Wiley Online Library Journals Frontfile Complete</source><creator>Scully, James ; Considine, Laura B. ; Smith, Mark T. ; McAlea, Eamonn ; Jones, Nephi ; O'Connell, Edel ; Madsen, Emilee ; Power, Martin ; Mellors, Philip ; Crowley, John ; O'Leary, Niall ; Carver, Scott ; Van Plew, Daniel</creator><creatorcontrib>Scully, James ; Considine, Laura B. ; Smith, Mark T. ; McAlea, Eamonn ; Jones, Nephi ; O'Connell, Edel ; Madsen, Emilee ; Power, Martin ; Mellors, Philip ; Crowley, John ; O'Leary, Niall ; Carver, Scott ; Van Plew, Daniel</creatorcontrib><description>The timely delivery of the most up‐to‐date medicines and drug products is essential for patients throughout the world. Successful scaling of the bioreactors used within the biopharmaceutical industry plays a large part in the quality and time to market of these products. Scale and topology differences between vessels add a large degree of complication and uncertainty within the scaling process. Currently, this approach is primarily achieved through extensive experimentation and facile empirical correlations, which can be costly and time consuming while providing limited information. The work undertaken in the current study demonstrates a more robust and complete approach using computational fluid dynamics (CFD) to provide potent multiparameter scalability, which only requires geometric and material properties before a comprehensive and detailed solution can be generated. The CFD model output parameters that can be applied in the scale‐up include mass transfer rates, mixing times, shear rates, gas hold‐up values, and bubble residence times. The authors examined three bioreactors with variable geometries and were able to validate them based on single‐phase and multiphase experiments. Furthermore, leveraging the resulting CFD output information enabled the authors to successfully scale‐up from a known 2kL to a novel and disparate 5kL single‐use bioreactor in the first attempted cell culture. This multiparameter scaling approach promises to ultimately lead to a reduction in the time to market providing patients with earlier access to the most groundbreaking medicines. In this study, the authors used CFD methods to successfully scale up from a known 2kL bioreactor to a novel and disparate 5kL single‐use bioreactor in the first attempted cell culture. This approach leveraged numerous scaling parameters including mass transfer rates, mixing times, shear rates, gas holdup values and bubble residence times and promises to ultimately lead to a reduction in the time to market providing patients with earlier access to the most groundbreaking medicines.</description><identifier>ISSN: 0006-3592</identifier><identifier>EISSN: 1097-0290</identifier><identifier>DOI: 10.1002/bit.27323</identifier><identifier>PMID: 32159221</identifier><language>eng</language><publisher>United States: Wiley Subscription Services, Inc</publisher><subject>Biopharmaceuticals ; bioreactor ; Bioreactors ; Blood vessels ; Cell culture ; CFD ; Computational fluid dynamics ; Computer applications ; Drug delivery systems ; Experimentation ; Fluid dynamics ; Hydrodynamics ; Mass transfer ; Material properties ; Mathematical models ; Medicine ; Problem solving ; Scaling ; Topology</subject><ispartof>Biotechnology and bioengineering, 2020-06, Vol.117 (6), p.1710-1723</ispartof><rights>2020 Wiley Periodicals, Inc.</rights><rights>2020 Wiley Periodicals LLC</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3903-a5721cf2aa5d7f70bc27902b765b65e1884545bef3a20df34ed9431f867c37083</citedby><cites>FETCH-LOGICAL-c3903-a5721cf2aa5d7f70bc27902b765b65e1884545bef3a20df34ed9431f867c37083</cites><orcidid>0000-0003-0144-890X</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.27323$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fbit.27323$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32159221$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Scully, James</creatorcontrib><creatorcontrib>Considine, Laura B.</creatorcontrib><creatorcontrib>Smith, Mark T.</creatorcontrib><creatorcontrib>McAlea, Eamonn</creatorcontrib><creatorcontrib>Jones, Nephi</creatorcontrib><creatorcontrib>O'Connell, Edel</creatorcontrib><creatorcontrib>Madsen, Emilee</creatorcontrib><creatorcontrib>Power, Martin</creatorcontrib><creatorcontrib>Mellors, Philip</creatorcontrib><creatorcontrib>Crowley, John</creatorcontrib><creatorcontrib>O'Leary, Niall</creatorcontrib><creatorcontrib>Carver, Scott</creatorcontrib><creatorcontrib>Van Plew, Daniel</creatorcontrib><title>Beyond heuristics: CFD‐based novel multiparameter scale‐up for geometrically disparate bioreactors demonstrated at industrial 2kL–10kL scales</title><title>Biotechnology and bioengineering</title><addtitle>Biotechnol Bioeng</addtitle><description>The timely delivery of the most up‐to‐date medicines and drug products is essential for patients throughout the world. Successful scaling of the bioreactors used within the biopharmaceutical industry plays a large part in the quality and time to market of these products. Scale and topology differences between vessels add a large degree of complication and uncertainty within the scaling process. Currently, this approach is primarily achieved through extensive experimentation and facile empirical correlations, which can be costly and time consuming while providing limited information. The work undertaken in the current study demonstrates a more robust and complete approach using computational fluid dynamics (CFD) to provide potent multiparameter scalability, which only requires geometric and material properties before a comprehensive and detailed solution can be generated. The CFD model output parameters that can be applied in the scale‐up include mass transfer rates, mixing times, shear rates, gas hold‐up values, and bubble residence times. The authors examined three bioreactors with variable geometries and were able to validate them based on single‐phase and multiphase experiments. Furthermore, leveraging the resulting CFD output information enabled the authors to successfully scale‐up from a known 2kL to a novel and disparate 5kL single‐use bioreactor in the first attempted cell culture. This multiparameter scaling approach promises to ultimately lead to a reduction in the time to market providing patients with earlier access to the most groundbreaking medicines. In this study, the authors used CFD methods to successfully scale up from a known 2kL bioreactor to a novel and disparate 5kL single‐use bioreactor in the first attempted cell culture. This approach leveraged numerous scaling parameters including mass transfer rates, mixing times, shear rates, gas holdup values and bubble residence times and promises to ultimately lead to a reduction in the time to market providing patients with earlier access to the most groundbreaking medicines.</description><subject>Biopharmaceuticals</subject><subject>bioreactor</subject><subject>Bioreactors</subject><subject>Blood vessels</subject><subject>Cell culture</subject><subject>CFD</subject><subject>Computational fluid dynamics</subject><subject>Computer applications</subject><subject>Drug delivery systems</subject><subject>Experimentation</subject><subject>Fluid dynamics</subject><subject>Hydrodynamics</subject><subject>Mass transfer</subject><subject>Material properties</subject><subject>Mathematical models</subject><subject>Medicine</subject><subject>Problem solving</subject><subject>Scaling</subject><subject>Topology</subject><issn>0006-3592</issn><issn>1097-0290</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp10cFu1DAUBVALUdGhsOAHkCU2sEj7bCdxwo4OlFYaiU1ZR479Am6deLAd0Oz6CUj9w34JHlK6qMTKeldHV5YuIa8YHDMAftLbdMyl4OIJWTFoZQG8hadkBQB1IaqWH5LnMV7lUzZ1_YwcCs5yytmK3J7izk-Gfsc52Jisju_p-uzj3c3vXkU0dPI_0dFxdsluVVAjJgw0auUwk3lLBx_oN_Q5DzanbkeNjXuZkPbWB1Q6-RCpwdFPMe1zQ1WidjJzPq1ylF9v7m5uGVxvluL4ghwMykV8ef8eka9nny7X58Xmy-eL9YdNoUULolCV5EwPXKnKyEFCr7lsgfeyrvq6QtY0ZVVWPQ5CcTCDKNG0pWBDU0stJDTiiLxderfB_5gxpm60UaNzakI_x44LWXMBbSszffOIXvk5TPl3WbVZlExCVu8WpYOPMeDQbYMdVdh1DLr9Ul1eqvu7VLav7xvnfkTzIP9Nk8HJAn5Zh7v_N3WnF5dL5R8Eb6FY</recordid><startdate>202006</startdate><enddate>202006</enddate><creator>Scully, James</creator><creator>Considine, Laura B.</creator><creator>Smith, Mark T.</creator><creator>McAlea, Eamonn</creator><creator>Jones, Nephi</creator><creator>O'Connell, Edel</creator><creator>Madsen, Emilee</creator><creator>Power, Martin</creator><creator>Mellors, Philip</creator><creator>Crowley, John</creator><creator>O'Leary, Niall</creator><creator>Carver, Scott</creator><creator>Van Plew, Daniel</creator><general>Wiley Subscription Services, Inc</general><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/0000-0003-0144-890X</orcidid></search><sort><creationdate>202006</creationdate><title>Beyond heuristics: CFD‐based novel multiparameter scale‐up for geometrically disparate bioreactors demonstrated at industrial 2kL–10kL scales</title><author>Scully, James ; Considine, Laura B. ; Smith, Mark T. ; McAlea, Eamonn ; Jones, Nephi ; O'Connell, Edel ; Madsen, Emilee ; Power, Martin ; Mellors, Philip ; Crowley, John ; O'Leary, Niall ; Carver, Scott ; Van Plew, Daniel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3903-a5721cf2aa5d7f70bc27902b765b65e1884545bef3a20df34ed9431f867c37083</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Biopharmaceuticals</topic><topic>bioreactor</topic><topic>Bioreactors</topic><topic>Blood vessels</topic><topic>Cell culture</topic><topic>CFD</topic><topic>Computational fluid dynamics</topic><topic>Computer applications</topic><topic>Drug delivery systems</topic><topic>Experimentation</topic><topic>Fluid dynamics</topic><topic>Hydrodynamics</topic><topic>Mass transfer</topic><topic>Material properties</topic><topic>Mathematical models</topic><topic>Medicine</topic><topic>Problem solving</topic><topic>Scaling</topic><topic>Topology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Scully, James</creatorcontrib><creatorcontrib>Considine, Laura B.</creatorcontrib><creatorcontrib>Smith, Mark T.</creatorcontrib><creatorcontrib>McAlea, Eamonn</creatorcontrib><creatorcontrib>Jones, Nephi</creatorcontrib><creatorcontrib>O'Connell, Edel</creatorcontrib><creatorcontrib>Madsen, Emilee</creatorcontrib><creatorcontrib>Power, Martin</creatorcontrib><creatorcontrib>Mellors, Philip</creatorcontrib><creatorcontrib>Crowley, John</creatorcontrib><creatorcontrib>O'Leary, Niall</creatorcontrib><creatorcontrib>Carver, Scott</creatorcontrib><creatorcontrib>Van Plew, Daniel</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Materials Business File</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Biotechnology and bioengineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Scully, James</au><au>Considine, Laura B.</au><au>Smith, Mark T.</au><au>McAlea, Eamonn</au><au>Jones, Nephi</au><au>O'Connell, Edel</au><au>Madsen, Emilee</au><au>Power, Martin</au><au>Mellors, Philip</au><au>Crowley, John</au><au>O'Leary, Niall</au><au>Carver, Scott</au><au>Van Plew, Daniel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Beyond heuristics: CFD‐based novel multiparameter scale‐up for geometrically disparate bioreactors demonstrated at industrial 2kL–10kL scales</atitle><jtitle>Biotechnology and bioengineering</jtitle><addtitle>Biotechnol Bioeng</addtitle><date>2020-06</date><risdate>2020</risdate><volume>117</volume><issue>6</issue><spage>1710</spage><epage>1723</epage><pages>1710-1723</pages><issn>0006-3592</issn><eissn>1097-0290</eissn><abstract>The timely delivery of the most up‐to‐date medicines and drug products is essential for patients throughout the world. Successful scaling of the bioreactors used within the biopharmaceutical industry plays a large part in the quality and time to market of these products. Scale and topology differences between vessels add a large degree of complication and uncertainty within the scaling process. Currently, this approach is primarily achieved through extensive experimentation and facile empirical correlations, which can be costly and time consuming while providing limited information. The work undertaken in the current study demonstrates a more robust and complete approach using computational fluid dynamics (CFD) to provide potent multiparameter scalability, which only requires geometric and material properties before a comprehensive and detailed solution can be generated. The CFD model output parameters that can be applied in the scale‐up include mass transfer rates, mixing times, shear rates, gas hold‐up values, and bubble residence times. The authors examined three bioreactors with variable geometries and were able to validate them based on single‐phase and multiphase experiments. Furthermore, leveraging the resulting CFD output information enabled the authors to successfully scale‐up from a known 2kL to a novel and disparate 5kL single‐use bioreactor in the first attempted cell culture. This multiparameter scaling approach promises to ultimately lead to a reduction in the time to market providing patients with earlier access to the most groundbreaking medicines. In this study, the authors used CFD methods to successfully scale up from a known 2kL bioreactor to a novel and disparate 5kL single‐use bioreactor in the first attempted cell culture. This approach leveraged numerous scaling parameters including mass transfer rates, mixing times, shear rates, gas holdup values and bubble residence times and promises to ultimately lead to a reduction in the time to market providing patients with earlier access to the most groundbreaking medicines.</abstract><cop>United States</cop><pub>Wiley Subscription Services, Inc</pub><pmid>32159221</pmid><doi>10.1002/bit.27323</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0003-0144-890X</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0006-3592
ispartof Biotechnology and bioengineering, 2020-06, Vol.117 (6), p.1710-1723
issn 0006-3592
1097-0290
language eng
recordid cdi_proquest_miscellaneous_2376230997
source Wiley Online Library Journals Frontfile Complete
subjects Biopharmaceuticals
bioreactor
Bioreactors
Blood vessels
Cell culture
CFD
Computational fluid dynamics
Computer applications
Drug delivery systems
Experimentation
Fluid dynamics
Hydrodynamics
Mass transfer
Material properties
Mathematical models
Medicine
Problem solving
Scaling
Topology
title Beyond heuristics: CFD‐based novel multiparameter scale‐up for geometrically disparate bioreactors demonstrated at industrial 2kL–10kL scales
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-24T10%3A55%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Beyond%20heuristics:%20CFD%E2%80%90based%20novel%20multiparameter%20scale%E2%80%90up%20for%20geometrically%20disparate%20bioreactors%20demonstrated%20at%20industrial%202kL%E2%80%9310kL%20scales&rft.jtitle=Biotechnology%20and%20bioengineering&rft.au=Scully,%20James&rft.date=2020-06&rft.volume=117&rft.issue=6&rft.spage=1710&rft.epage=1723&rft.pages=1710-1723&rft.issn=0006-3592&rft.eissn=1097-0290&rft_id=info:doi/10.1002/bit.27323&rft_dat=%3Cproquest_cross%3E2376230997%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2399974170&rft_id=info:pmid/32159221&rfr_iscdi=true