Advances in modeling techniques for the production and purification of biomolecules: A comprehensive review

•Intricate modeling techniques in therapeutic enzyme production have been discussed.•Modeling of integrated process like extractive fermentation has been addressed.•Several advanced models for two-dimensional chromatography have been represented.•ANN and GA based control strategies have also been br...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of chromatography. B, Analytical technologies in the biomedical and life sciences Analytical technologies in the biomedical and life sciences, 2024-01, Vol.1232, p.123945-123945, Article 123945
Hauptverfasser: Umasekar, Srimathi, Virivinti, Nagajyothi
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 123945
container_issue
container_start_page 123945
container_title Journal of chromatography. B, Analytical technologies in the biomedical and life sciences
container_volume 1232
creator Umasekar, Srimathi
Virivinti, Nagajyothi
description •Intricate modeling techniques in therapeutic enzyme production have been discussed.•Modeling of integrated process like extractive fermentation has been addressed.•Several advanced models for two-dimensional chromatography have been represented.•ANN and GA based control strategies have also been briefly discussed. In response to the growing demand for therapeutic biomolecules, there is a need for continuous and cost-effective bio-separation techniques to enhance extraction yield and efficiency. Aqueous biphasic extractive fermentation has emerged as an integrated downstream processing technique, offering selective partitioning, high productivity, and preservation of biomolecule integrity. However, the dynamic nature of this technique requires a comprehensive understanding of the underlying separation mechanisms. Unfortunately, the analysis of parameters influencing this dynamic behavior can be challenging due to limited resources and time. To address this, mathematical modeling approaches can be employed to minimize the tedious trial-and-error experimentation process. This review article presents mathematical modeling approaches for both upstream and downstream processing techniques, focusing on the production of biomolecules which can be used in pharmaceutical industries in a cost-effective manner. By leveraging mathematical models, researchers can optimize the production and purification processes, leading to improved efficiency and processing cost reduction in biomolecule production.
doi_str_mv 10.1016/j.jchromb.2023.123945
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_3153202216</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S1570023223003550</els_id><sourcerecordid>3153202216</sourcerecordid><originalsourceid>FETCH-LOGICAL-c346t-5cac5758048ad2967be16d7a5a7615f7b8359b4006c1853ed7bd65b01312d8b33</originalsourceid><addsrcrecordid>eNqFkUtv3CAURlHVqHm0PyEVy2484WHA7qYajdokUqRsEqk7xOO6w8Q2U7Anyr8Pk5l2mxXoci4XvoPQJSULSqi82iw2bp3iYBeMML6gjLe1-IDOaKN4xZX8_bHshSJVOWWn6DznDSFUEcU_oVPeUMoV42foael3ZnSQcRjxED30YfyDJ3DrMfydS7mLCU9rwNsU_eymEEdsRo-3cwpdcOatEDtsQxxiD27uIX_HS-zisE2whjGHHeAEuwDPn9FJZ_oMX47rBXr89fNhdVPd3V_frpZ3leO1nCrhjBNKNKRujGetVBao9MoIoyQVnbINF62tCZGONoKDV9ZLYQnllPnGcn6Bvh3uLW_e_2HSQ8gO-t6MEOesORW8hMaofBdlLakL3TJRUHFAXYo5J-j0NoXBpBdNid4r0Rt9VKL3SvRBSen7ehwx2wH8_65_Dgrw4wBAyaTklHR2AYoTHxK4SfsY3hnxCryjoAs</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2904153925</pqid></control><display><type>article</type><title>Advances in modeling techniques for the production and purification of biomolecules: A comprehensive review</title><source>Elsevier ScienceDirect Journals</source><creator>Umasekar, Srimathi ; Virivinti, Nagajyothi</creator><creatorcontrib>Umasekar, Srimathi ; Virivinti, Nagajyothi</creatorcontrib><description>•Intricate modeling techniques in therapeutic enzyme production have been discussed.•Modeling of integrated process like extractive fermentation has been addressed.•Several advanced models for two-dimensional chromatography have been represented.•ANN and GA based control strategies have also been briefly discussed. In response to the growing demand for therapeutic biomolecules, there is a need for continuous and cost-effective bio-separation techniques to enhance extraction yield and efficiency. Aqueous biphasic extractive fermentation has emerged as an integrated downstream processing technique, offering selective partitioning, high productivity, and preservation of biomolecule integrity. However, the dynamic nature of this technique requires a comprehensive understanding of the underlying separation mechanisms. Unfortunately, the analysis of parameters influencing this dynamic behavior can be challenging due to limited resources and time. To address this, mathematical modeling approaches can be employed to minimize the tedious trial-and-error experimentation process. This review article presents mathematical modeling approaches for both upstream and downstream processing techniques, focusing on the production of biomolecules which can be used in pharmaceutical industries in a cost-effective manner. By leveraging mathematical models, researchers can optimize the production and purification processes, leading to improved efficiency and processing cost reduction in biomolecule production.</description><identifier>ISSN: 1570-0232</identifier><identifier>EISSN: 1873-376X</identifier><identifier>DOI: 10.1016/j.jchromb.2023.123945</identifier><identifier>PMID: 38113723</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Aqueous biphasic extraction ; Artificial neural network ; biochemical compounds ; chromatography ; cost effectiveness ; fermentation ; Modeling ; Optimization ; Purification ; therapeutics</subject><ispartof>Journal of chromatography. B, Analytical technologies in the biomedical and life sciences, 2024-01, Vol.1232, p.123945-123945, Article 123945</ispartof><rights>2023 Elsevier B.V.</rights><rights>Copyright © 2023 Elsevier B.V. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c346t-5cac5758048ad2967be16d7a5a7615f7b8359b4006c1853ed7bd65b01312d8b33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.jchromb.2023.123945$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,778,782,3539,27907,27908,45978</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38113723$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Umasekar, Srimathi</creatorcontrib><creatorcontrib>Virivinti, Nagajyothi</creatorcontrib><title>Advances in modeling techniques for the production and purification of biomolecules: A comprehensive review</title><title>Journal of chromatography. B, Analytical technologies in the biomedical and life sciences</title><addtitle>J Chromatogr B Analyt Technol Biomed Life Sci</addtitle><description>•Intricate modeling techniques in therapeutic enzyme production have been discussed.•Modeling of integrated process like extractive fermentation has been addressed.•Several advanced models for two-dimensional chromatography have been represented.•ANN and GA based control strategies have also been briefly discussed. In response to the growing demand for therapeutic biomolecules, there is a need for continuous and cost-effective bio-separation techniques to enhance extraction yield and efficiency. Aqueous biphasic extractive fermentation has emerged as an integrated downstream processing technique, offering selective partitioning, high productivity, and preservation of biomolecule integrity. However, the dynamic nature of this technique requires a comprehensive understanding of the underlying separation mechanisms. Unfortunately, the analysis of parameters influencing this dynamic behavior can be challenging due to limited resources and time. To address this, mathematical modeling approaches can be employed to minimize the tedious trial-and-error experimentation process. This review article presents mathematical modeling approaches for both upstream and downstream processing techniques, focusing on the production of biomolecules which can be used in pharmaceutical industries in a cost-effective manner. By leveraging mathematical models, researchers can optimize the production and purification processes, leading to improved efficiency and processing cost reduction in biomolecule production.</description><subject>Aqueous biphasic extraction</subject><subject>Artificial neural network</subject><subject>biochemical compounds</subject><subject>chromatography</subject><subject>cost effectiveness</subject><subject>fermentation</subject><subject>Modeling</subject><subject>Optimization</subject><subject>Purification</subject><subject>therapeutics</subject><issn>1570-0232</issn><issn>1873-376X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNqFkUtv3CAURlHVqHm0PyEVy2484WHA7qYajdokUqRsEqk7xOO6w8Q2U7Anyr8Pk5l2mxXoci4XvoPQJSULSqi82iw2bp3iYBeMML6gjLe1-IDOaKN4xZX8_bHshSJVOWWn6DznDSFUEcU_oVPeUMoV42foael3ZnSQcRjxED30YfyDJ3DrMfydS7mLCU9rwNsU_eymEEdsRo-3cwpdcOatEDtsQxxiD27uIX_HS-zisE2whjGHHeAEuwDPn9FJZ_oMX47rBXr89fNhdVPd3V_frpZ3leO1nCrhjBNKNKRujGetVBao9MoIoyQVnbINF62tCZGONoKDV9ZLYQnllPnGcn6Bvh3uLW_e_2HSQ8gO-t6MEOesORW8hMaofBdlLakL3TJRUHFAXYo5J-j0NoXBpBdNid4r0Rt9VKL3SvRBSen7ehwx2wH8_65_Dgrw4wBAyaTklHR2AYoTHxK4SfsY3hnxCryjoAs</recordid><startdate>20240101</startdate><enddate>20240101</enddate><creator>Umasekar, Srimathi</creator><creator>Virivinti, Nagajyothi</creator><general>Elsevier B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>7S9</scope><scope>L.6</scope></search><sort><creationdate>20240101</creationdate><title>Advances in modeling techniques for the production and purification of biomolecules: A comprehensive review</title><author>Umasekar, Srimathi ; Virivinti, Nagajyothi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c346t-5cac5758048ad2967be16d7a5a7615f7b8359b4006c1853ed7bd65b01312d8b33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Aqueous biphasic extraction</topic><topic>Artificial neural network</topic><topic>biochemical compounds</topic><topic>chromatography</topic><topic>cost effectiveness</topic><topic>fermentation</topic><topic>Modeling</topic><topic>Optimization</topic><topic>Purification</topic><topic>therapeutics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Umasekar, Srimathi</creatorcontrib><creatorcontrib>Virivinti, Nagajyothi</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Journal of chromatography. B, Analytical technologies in the biomedical and life sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Umasekar, Srimathi</au><au>Virivinti, Nagajyothi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Advances in modeling techniques for the production and purification of biomolecules: A comprehensive review</atitle><jtitle>Journal of chromatography. B, Analytical technologies in the biomedical and life sciences</jtitle><addtitle>J Chromatogr B Analyt Technol Biomed Life Sci</addtitle><date>2024-01-01</date><risdate>2024</risdate><volume>1232</volume><spage>123945</spage><epage>123945</epage><pages>123945-123945</pages><artnum>123945</artnum><issn>1570-0232</issn><eissn>1873-376X</eissn><abstract>•Intricate modeling techniques in therapeutic enzyme production have been discussed.•Modeling of integrated process like extractive fermentation has been addressed.•Several advanced models for two-dimensional chromatography have been represented.•ANN and GA based control strategies have also been briefly discussed. In response to the growing demand for therapeutic biomolecules, there is a need for continuous and cost-effective bio-separation techniques to enhance extraction yield and efficiency. Aqueous biphasic extractive fermentation has emerged as an integrated downstream processing technique, offering selective partitioning, high productivity, and preservation of biomolecule integrity. However, the dynamic nature of this technique requires a comprehensive understanding of the underlying separation mechanisms. Unfortunately, the analysis of parameters influencing this dynamic behavior can be challenging due to limited resources and time. To address this, mathematical modeling approaches can be employed to minimize the tedious trial-and-error experimentation process. This review article presents mathematical modeling approaches for both upstream and downstream processing techniques, focusing on the production of biomolecules which can be used in pharmaceutical industries in a cost-effective manner. By leveraging mathematical models, researchers can optimize the production and purification processes, leading to improved efficiency and processing cost reduction in biomolecule production.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>38113723</pmid><doi>10.1016/j.jchromb.2023.123945</doi><tpages>1</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1570-0232
ispartof Journal of chromatography. B, Analytical technologies in the biomedical and life sciences, 2024-01, Vol.1232, p.123945-123945, Article 123945
issn 1570-0232
1873-376X
language eng
recordid cdi_proquest_miscellaneous_3153202216
source Elsevier ScienceDirect Journals
subjects Aqueous biphasic extraction
Artificial neural network
biochemical compounds
chromatography
cost effectiveness
fermentation
Modeling
Optimization
Purification
therapeutics
title Advances in modeling techniques for the production and purification of biomolecules: A comprehensive review
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-16T20%3A40%3A03IST&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=Advances%20in%20modeling%20techniques%20for%20the%20production%20and%20purification%20of%20biomolecules:%20A%20comprehensive%20review&rft.jtitle=Journal%20of%20chromatography.%20B,%20Analytical%20technologies%20in%20the%20biomedical%20and%20life%20sciences&rft.au=Umasekar,%20Srimathi&rft.date=2024-01-01&rft.volume=1232&rft.spage=123945&rft.epage=123945&rft.pages=123945-123945&rft.artnum=123945&rft.issn=1570-0232&rft.eissn=1873-376X&rft_id=info:doi/10.1016/j.jchromb.2023.123945&rft_dat=%3Cproquest_cross%3E3153202216%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=2904153925&rft_id=info:pmid/38113723&rft_els_id=S1570023223003550&rfr_iscdi=true