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Software sensors for fermentation processes
Four software sensors based on standard on-line data from fermentation processes and simple mathematical models were used to monitor a number of state variables in Escherichia coli fed-batch processes: the biomass concentration, the specific growth rate, the oxygen transfer capacity of the bioreacto...
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Published in: | Bioprocess and biosystems engineering 2008-02, Vol.31 (2), p.145-152 |
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cites | cdi_FETCH-LOGICAL-c466t-c75061ee2193f109760c62190227ba5a301a2113fdb44588d8cbfa60c69d5bb63 |
container_end_page | 152 |
container_issue | 2 |
container_start_page | 145 |
container_title | Bioprocess and biosystems engineering |
container_volume | 31 |
creator | Sundström, Heléne Enfors, Sven-Olof |
description | Four software sensors based on standard on-line data from fermentation processes and simple mathematical models were used to monitor a number of state variables in
Escherichia coli
fed-batch processes: the biomass concentration, the specific growth rate, the oxygen transfer capacity of the bioreactor, and the new
R
O/S
sensor which is the ratio between oxygen and energy substrate consumption. The
R
O/S
variable grows continuously in a fed-batch culture with constant glucose feed, which reflects the increasing maintenance demand at declining specific growth rate. The
R
O/S
sensor also responded to rapid pH shift-downs reflecting the increasing demand for maintenance energy. It is suggested that this sensor may be used to monitor the extent of physiological stress that demands energy for survival. |
doi_str_mv | 10.1007/s00449-007-0157-5 |
format | article |
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Escherichia coli
fed-batch processes: the biomass concentration, the specific growth rate, the oxygen transfer capacity of the bioreactor, and the new
R
O/S
sensor which is the ratio between oxygen and energy substrate consumption. The
R
O/S
variable grows continuously in a fed-batch culture with constant glucose feed, which reflects the increasing maintenance demand at declining specific growth rate. The
R
O/S
sensor also responded to rapid pH shift-downs reflecting the increasing demand for maintenance energy. It is suggested that this sensor may be used to monitor the extent of physiological stress that demands energy for survival.</description><identifier>ISSN: 1615-7591</identifier><identifier>ISSN: 1615-7605</identifier><identifier>EISSN: 1615-7605</identifier><identifier>DOI: 10.1007/s00449-007-0157-5</identifier><identifier>PMID: 17726584</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>Algorithms ; Biochemical process engineering ; Bioengineering ; Biokemisk och bioteknisk processteknik ; Biological and medical sciences ; Biomass ; Bioreactors ; Bioreactors - microbiology ; Biosensors ; Biotechnology ; Bioteknik ; Cell Proliferation ; Chemistry ; Chemistry and Materials Science ; Computer Simulation ; E coli ; Environmental Engineering/Biotechnology ; Escherichia coli ; Escherichia coli - physiology ; Escherichia coli Proteins - metabolism ; Fermentation ; Food Science ; Fundamental and applied biological sciences. Psychology ; Industrial and Production Engineering ; Industrial Chemistry/Chemical Engineering ; Mathematical models ; Models, Biological ; Original Paper ; Oxygen - metabolism ; Oxygen transfer ; Sensors ; Software ; TECHNOLOGY ; TEKNIKVETENSKAP</subject><ispartof>Bioprocess and biosystems engineering, 2008-02, Vol.31 (2), p.145-152</ispartof><rights>Springer-Verlag 2007</rights><rights>2008 INIST-CNRS</rights><rights>Springer-Verlag 2008</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c466t-c75061ee2193f109760c62190227ba5a301a2113fdb44588d8cbfa60c69d5bb63</citedby><cites>FETCH-LOGICAL-c466t-c75061ee2193f109760c62190227ba5a301a2113fdb44588d8cbfa60c69d5bb63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20032221$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/17726584$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-7622$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Sundström, Heléne</creatorcontrib><creatorcontrib>Enfors, Sven-Olof</creatorcontrib><title>Software sensors for fermentation processes</title><title>Bioprocess and biosystems engineering</title><addtitle>Bioprocess Biosyst Eng</addtitle><addtitle>Bioprocess Biosyst Eng</addtitle><description>Four software sensors based on standard on-line data from fermentation processes and simple mathematical models were used to monitor a number of state variables in
Escherichia coli
fed-batch processes: the biomass concentration, the specific growth rate, the oxygen transfer capacity of the bioreactor, and the new
R
O/S
sensor which is the ratio between oxygen and energy substrate consumption. The
R
O/S
variable grows continuously in a fed-batch culture with constant glucose feed, which reflects the increasing maintenance demand at declining specific growth rate. The
R
O/S
sensor also responded to rapid pH shift-downs reflecting the increasing demand for maintenance energy. It is suggested that this sensor may be used to monitor the extent of physiological stress that demands energy for survival.</description><subject>Algorithms</subject><subject>Biochemical process engineering</subject><subject>Bioengineering</subject><subject>Biokemisk och bioteknisk processteknik</subject><subject>Biological and medical sciences</subject><subject>Biomass</subject><subject>Bioreactors</subject><subject>Bioreactors - microbiology</subject><subject>Biosensors</subject><subject>Biotechnology</subject><subject>Bioteknik</subject><subject>Cell Proliferation</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Computer Simulation</subject><subject>E coli</subject><subject>Environmental Engineering/Biotechnology</subject><subject>Escherichia coli</subject><subject>Escherichia coli - physiology</subject><subject>Escherichia coli Proteins - metabolism</subject><subject>Fermentation</subject><subject>Food Science</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Industrial and Production Engineering</subject><subject>Industrial Chemistry/Chemical Engineering</subject><subject>Mathematical models</subject><subject>Models, Biological</subject><subject>Original Paper</subject><subject>Oxygen - metabolism</subject><subject>Oxygen transfer</subject><subject>Sensors</subject><subject>Software</subject><subject>TECHNOLOGY</subject><subject>TEKNIKVETENSKAP</subject><issn>1615-7591</issn><issn>1615-7605</issn><issn>1615-7605</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNqNkV9P2zAUxS0EWlm3D8ALqpDgBYXd68R28lgBG5OQeNifV8tx7ZLSxsU3Edq3n6NmRUKaxJOP5d89PvZh7AThCgHUFwIoiipLMgMUKhMH7BglikxJEIf_tKhwwj4SrSBBJYcPbIJKcSnK4phd_gi-ezHRzci1FCLNfIgz7-LGtZ3pmtDOtjFYR-ToEzvyZk3u87hO2a-vtz-v77L7h2_fr-f3mS2k7DKrBEh0jmOVe4QqhbEybYBzVRthckDDEXO_qItClOWitLU3A1QtRF3LfMoud7704rZ9rbex2Zj4RwfT6Jvm91yHuNRP3aNWkvNEX-zolPO5d9TpTUPWrdemdaEnrYCjFO8AOeYcS1Um8OwNuAp9bNOTEyPKSqh8cMMdZGMgis7vYyLooR29a0cPcmhHizRzOhr39cYtXifGOhJwPgKGrFn7aFrb0J7jADnnKeeU8fGH0lG7dPE14f9v_wvFlKTX</recordid><startdate>20080201</startdate><enddate>20080201</enddate><creator>Sundström, Heléne</creator><creator>Enfors, Sven-Olof</creator><general>Springer-Verlag</general><general>Springer</general><general>Springer Nature B.V</general><scope>IQODW</scope><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>3V.</scope><scope>7QL</scope><scope>7T7</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7N</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7QO</scope><scope>7X8</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8V</scope></search><sort><creationdate>20080201</creationdate><title>Software sensors for fermentation processes</title><author>Sundström, Heléne ; Enfors, Sven-Olof</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c466t-c75061ee2193f109760c62190227ba5a301a2113fdb44588d8cbfa60c69d5bb63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Algorithms</topic><topic>Biochemical process engineering</topic><topic>Bioengineering</topic><topic>Biokemisk och bioteknisk processteknik</topic><topic>Biological and medical sciences</topic><topic>Biomass</topic><topic>Bioreactors</topic><topic>Bioreactors - microbiology</topic><topic>Biosensors</topic><topic>Biotechnology</topic><topic>Bioteknik</topic><topic>Cell Proliferation</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Computer Simulation</topic><topic>E coli</topic><topic>Environmental Engineering/Biotechnology</topic><topic>Escherichia coli</topic><topic>Escherichia coli - physiology</topic><topic>Escherichia coli Proteins - metabolism</topic><topic>Fermentation</topic><topic>Food Science</topic><topic>Fundamental and applied biological sciences. 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Escherichia coli
fed-batch processes: the biomass concentration, the specific growth rate, the oxygen transfer capacity of the bioreactor, and the new
R
O/S
sensor which is the ratio between oxygen and energy substrate consumption. The
R
O/S
variable grows continuously in a fed-batch culture with constant glucose feed, which reflects the increasing maintenance demand at declining specific growth rate. The
R
O/S
sensor also responded to rapid pH shift-downs reflecting the increasing demand for maintenance energy. It is suggested that this sensor may be used to monitor the extent of physiological stress that demands energy for survival.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><pmid>17726584</pmid><doi>10.1007/s00449-007-0157-5</doi><tpages>8</tpages></addata></record> |
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language | eng |
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source | Springer Nature |
subjects | Algorithms Biochemical process engineering Bioengineering Biokemisk och bioteknisk processteknik Biological and medical sciences Biomass Bioreactors Bioreactors - microbiology Biosensors Biotechnology Bioteknik Cell Proliferation Chemistry Chemistry and Materials Science Computer Simulation E coli Environmental Engineering/Biotechnology Escherichia coli Escherichia coli - physiology Escherichia coli Proteins - metabolism Fermentation Food Science Fundamental and applied biological sciences. Psychology Industrial and Production Engineering Industrial Chemistry/Chemical Engineering Mathematical models Models, Biological Original Paper Oxygen - metabolism Oxygen transfer Sensors Software TECHNOLOGY TEKNIKVETENSKAP |
title | Software sensors for fermentation processes |
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