Optimization and feedback control system of dilution rate for 1,3‐propanediol in two‐stage fermentation: A theoretical study
In utilizing glycerol to produce 1,3‐propanediol by microbial fermentation, the problems of low utilization rate and poor production performance need to be addressed. Based on the analysis of a mathematical model for 1,3‐propanediol production from glycerol by Klebsiella pneumoniae, this study theor...
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Veröffentlicht in: | Biotechnology progress 2022-01, Vol.38 (1), p.e3225-n/a |
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description | In utilizing glycerol to produce 1,3‐propanediol by microbial fermentation, the problems of low utilization rate and poor production performance need to be addressed. Based on the analysis of a mathematical model for 1,3‐propanediol production from glycerol by Klebsiella pneumoniae, this study theoretically investigated the effects of the dilution rate and the initial glycerol concentration in a two‐stage fermentation process and the feasibility of applying the feedback control methods. First, the optimal operation conditions of initial glycerol concentration and dilution rate were obtained. Through the use of feedback control theory, a control strategy for dilution rate was designed and optimized to shorten the settling time (time required for fermentation to reach stability) from 60.92 to 36.68 h for the first reactor, and from 53.66 to 22.68 h for the second reactor. In addition, the yield of 1,3‐propanediol in both two reactors reached up to 0.5 g·g−1. The simulation results indicated that the feedback control strategy for dilution rate increased the product concentration, reduced the residual glycerol in the fermentation broth, and greatly improved the performance of the fermentation. A feeding strategy of automatic control for dilution rate has been established and will be applied as an effective guiding scheme in automatic continuous fermentations for production of 1,3‐propanediol. |
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Based on the analysis of a mathematical model for 1,3‐propanediol production from glycerol by Klebsiella pneumoniae, this study theoretically investigated the effects of the dilution rate and the initial glycerol concentration in a two‐stage fermentation process and the feasibility of applying the feedback control methods. First, the optimal operation conditions of initial glycerol concentration and dilution rate were obtained. Through the use of feedback control theory, a control strategy for dilution rate was designed and optimized to shorten the settling time (time required for fermentation to reach stability) from 60.92 to 36.68 h for the first reactor, and from 53.66 to 22.68 h for the second reactor. In addition, the yield of 1,3‐propanediol in both two reactors reached up to 0.5 g·g−1. The simulation results indicated that the feedback control strategy for dilution rate increased the product concentration, reduced the residual glycerol in the fermentation broth, and greatly improved the performance of the fermentation. A feeding strategy of automatic control for dilution rate has been established and will be applied as an effective guiding scheme in automatic continuous fermentations for production of 1,3‐propanediol.</description><identifier>ISSN: 8756-7938</identifier><identifier>EISSN: 1520-6033</identifier><identifier>DOI: 10.1002/btpr.3225</identifier><identifier>PMID: 34775686</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>1,3-Propanediol ; Automatic control ; Bioreactors ; Control methods ; Control systems ; Control theory ; Dilution ; Feedback ; Feedback control ; Fermentation ; Glycerol ; glycerol dissimilation ; Klebsiella ; Klebsiella pneumoniae ; Mathematical models ; Microorganisms ; Models, Theoretical ; multi‐reactor fermentation ; Optimization ; Propylene Glycols ; Reactors</subject><ispartof>Biotechnology progress, 2022-01, Vol.38 (1), p.e3225-n/a</ispartof><rights>2021 American Institute of Chemical Engineers.</rights><rights>2022 American Institute of Chemical Engineers</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3535-fe5461fc791e20ca9bde2febdb700ec43580d2ac64e5fdf4388ec529d5dd59003</citedby><cites>FETCH-LOGICAL-c3535-fe5461fc791e20ca9bde2febdb700ec43580d2ac64e5fdf4388ec529d5dd59003</cites><orcidid>0000-0002-3648-1403</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%2Fbtpr.3225$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fbtpr.3225$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34775686$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Pan, Duo‐Tao</creatorcontrib><creatorcontrib>Wang, Xu‐Dong</creatorcontrib><creatorcontrib>Wang, Jia‐Bing</creatorcontrib><creatorcontrib>Shi, Hong‐Yan</creatorcontrib><creatorcontrib>Wang, Guo‐Gang</creatorcontrib><creatorcontrib>Xiu, Zhi‐Long</creatorcontrib><title>Optimization and feedback control system of dilution rate for 1,3‐propanediol in two‐stage fermentation: A theoretical study</title><title>Biotechnology progress</title><addtitle>Biotechnol Prog</addtitle><description>In utilizing glycerol to produce 1,3‐propanediol by microbial fermentation, the problems of low utilization rate and poor production performance need to be addressed. Based on the analysis of a mathematical model for 1,3‐propanediol production from glycerol by Klebsiella pneumoniae, this study theoretically investigated the effects of the dilution rate and the initial glycerol concentration in a two‐stage fermentation process and the feasibility of applying the feedback control methods. First, the optimal operation conditions of initial glycerol concentration and dilution rate were obtained. Through the use of feedback control theory, a control strategy for dilution rate was designed and optimized to shorten the settling time (time required for fermentation to reach stability) from 60.92 to 36.68 h for the first reactor, and from 53.66 to 22.68 h for the second reactor. In addition, the yield of 1,3‐propanediol in both two reactors reached up to 0.5 g·g−1. The simulation results indicated that the feedback control strategy for dilution rate increased the product concentration, reduced the residual glycerol in the fermentation broth, and greatly improved the performance of the fermentation. A feeding strategy of automatic control for dilution rate has been established and will be applied as an effective guiding scheme in automatic continuous fermentations for production of 1,3‐propanediol.</description><subject>1,3-Propanediol</subject><subject>Automatic control</subject><subject>Bioreactors</subject><subject>Control methods</subject><subject>Control systems</subject><subject>Control theory</subject><subject>Dilution</subject><subject>Feedback</subject><subject>Feedback control</subject><subject>Fermentation</subject><subject>Glycerol</subject><subject>glycerol dissimilation</subject><subject>Klebsiella</subject><subject>Klebsiella pneumoniae</subject><subject>Mathematical models</subject><subject>Microorganisms</subject><subject>Models, Theoretical</subject><subject>multi‐reactor fermentation</subject><subject>Optimization</subject><subject>Propylene Glycols</subject><subject>Reactors</subject><issn>8756-7938</issn><issn>1520-6033</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp10c9qFTEUBvAgir2tLnwBCbix4LRnkslMxl0t_ikUKlLXQyY50dSZyTTJUK6rPoLP6JM0997aRcFV4OTHxwcfIa9KOCoB2HGf5nDEGRNPyKoUDIoaOH9KVrIRddG0XO6R_RivAEBCzZ6TPV41-UvWK3J7MSc3ut8qOT9RNRlqEU2v9C-q_ZSCH2hcx4Qj9ZYaNyxbF1RCan2g5Tv-9_bPHPysJjQuazfRdOPzMSb1IyMMI05pG_-entD0E33A5LTKwWkx6xfkmVVDxJf37wH5_unj5emX4vzi89npyXmhueCisCiqurS6aUtkoFXbG2QWe9M3AKgrLiQYpnRdobDGVlxK1IK1RhgjWgB-QN7ucnPZ6wVj6kYXNQ5DLu6X2DHRNhJYzatM3zyiV34JU27XsZrJVoKsNupwp3TwMQa03RzcqMK6K6HbzNJtZuk2s2T7-j5x6Uc0D_LfDhkc78CNG3D9_6Tuw-XXb9vIO69sm4g</recordid><startdate>202201</startdate><enddate>202201</enddate><creator>Pan, Duo‐Tao</creator><creator>Wang, Xu‐Dong</creator><creator>Wang, Jia‐Bing</creator><creator>Shi, Hong‐Yan</creator><creator>Wang, Guo‐Gang</creator><creator>Xiu, Zhi‐Long</creator><general>John Wiley & Sons, Inc</general><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>7QL</scope><scope>7QO</scope><scope>7T7</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>M7N</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-3648-1403</orcidid></search><sort><creationdate>202201</creationdate><title>Optimization and feedback control system of dilution rate for 1,3‐propanediol in two‐stage fermentation: A theoretical study</title><author>Pan, Duo‐Tao ; Wang, Xu‐Dong ; Wang, Jia‐Bing ; Shi, Hong‐Yan ; Wang, Guo‐Gang ; Xiu, Zhi‐Long</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3535-fe5461fc791e20ca9bde2febdb700ec43580d2ac64e5fdf4388ec529d5dd59003</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>1,3-Propanediol</topic><topic>Automatic control</topic><topic>Bioreactors</topic><topic>Control methods</topic><topic>Control systems</topic><topic>Control theory</topic><topic>Dilution</topic><topic>Feedback</topic><topic>Feedback control</topic><topic>Fermentation</topic><topic>Glycerol</topic><topic>glycerol dissimilation</topic><topic>Klebsiella</topic><topic>Klebsiella pneumoniae</topic><topic>Mathematical models</topic><topic>Microorganisms</topic><topic>Models, Theoretical</topic><topic>multi‐reactor fermentation</topic><topic>Optimization</topic><topic>Propylene Glycols</topic><topic>Reactors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pan, Duo‐Tao</creatorcontrib><creatorcontrib>Wang, Xu‐Dong</creatorcontrib><creatorcontrib>Wang, Jia‐Bing</creatorcontrib><creatorcontrib>Shi, Hong‐Yan</creatorcontrib><creatorcontrib>Wang, Guo‐Gang</creatorcontrib><creatorcontrib>Xiu, Zhi‐Long</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Biotechnology progress</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pan, Duo‐Tao</au><au>Wang, Xu‐Dong</au><au>Wang, Jia‐Bing</au><au>Shi, Hong‐Yan</au><au>Wang, Guo‐Gang</au><au>Xiu, Zhi‐Long</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization and feedback control system of dilution rate for 1,3‐propanediol in two‐stage fermentation: A theoretical study</atitle><jtitle>Biotechnology progress</jtitle><addtitle>Biotechnol Prog</addtitle><date>2022-01</date><risdate>2022</risdate><volume>38</volume><issue>1</issue><spage>e3225</spage><epage>n/a</epage><pages>e3225-n/a</pages><issn>8756-7938</issn><eissn>1520-6033</eissn><abstract>In utilizing glycerol to produce 1,3‐propanediol by microbial fermentation, the problems of low utilization rate and poor production performance need to be addressed. Based on the analysis of a mathematical model for 1,3‐propanediol production from glycerol by Klebsiella pneumoniae, this study theoretically investigated the effects of the dilution rate and the initial glycerol concentration in a two‐stage fermentation process and the feasibility of applying the feedback control methods. First, the optimal operation conditions of initial glycerol concentration and dilution rate were obtained. Through the use of feedback control theory, a control strategy for dilution rate was designed and optimized to shorten the settling time (time required for fermentation to reach stability) from 60.92 to 36.68 h for the first reactor, and from 53.66 to 22.68 h for the second reactor. In addition, the yield of 1,3‐propanediol in both two reactors reached up to 0.5 g·g−1. The simulation results indicated that the feedback control strategy for dilution rate increased the product concentration, reduced the residual glycerol in the fermentation broth, and greatly improved the performance of the fermentation. A feeding strategy of automatic control for dilution rate has been established and will be applied as an effective guiding scheme in automatic continuous fermentations for production of 1,3‐propanediol.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>34775686</pmid><doi>10.1002/btpr.3225</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-3648-1403</orcidid></addata></record> |
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subjects | 1,3-Propanediol Automatic control Bioreactors Control methods Control systems Control theory Dilution Feedback Feedback control Fermentation Glycerol glycerol dissimilation Klebsiella Klebsiella pneumoniae Mathematical models Microorganisms Models, Theoretical multi‐reactor fermentation Optimization Propylene Glycols Reactors |
title | Optimization and feedback control system of dilution rate for 1,3‐propanediol in two‐stage fermentation: A theoretical study |
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