Analysis of Kinetic and Operational Parameters in a Structured Model for Acrylic Acid Production through Experimental Design
In biotechnological processes, a great number of factors can influence the income productivity and conversion. Normally, it is not evident which of these factors are the most important and how they interact. In this work, multivariate analysis techniques are used as experimental design coupled to a...
Gespeichert in:
Veröffentlicht in: | Applied biochemistry and biotechnology 2008-03, Vol.148 (1-3), p.175-187 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 187 |
---|---|
container_issue | 1-3 |
container_start_page | 175 |
container_title | Applied biochemistry and biotechnology |
container_volume | 148 |
creator | Lunelli, B. H. Rivera, E. C. Vasco de Toledo, E. C. Wolf Maciel, M. R. Maciel Filho, R. |
description | In biotechnological processes, a great number of factors can influence the income productivity and conversion. Normally, it is not evident which of these factors are the most important and how they interact. In this work, multivariate analysis techniques are used as experimental design coupled to a detailed deterministic model to identify the parameters with the most significant impact on the model to represent well the acrylic acid production process. It is proposed as an alternative process, having sugarcane as feedstock, to the petrochemical-based ones that have significant environmental impacts for their production. To increase the competitiveness of renewable acrylic-acid-based process, it is necessary to find out working conditions near the optimal region, which is not an easy task, as the process is multivariable and non-linear. The mapping of the dynamics of the developed process is made using techniques of factorial design together with the methodology of Plackett–Burman. It is shown that it is possible to increase the process performance by choosing optimized conditions for the reactor operation. |
doi_str_mv | 10.1007/s12010-007-8060-8 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_69109072</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1898745771</sourcerecordid><originalsourceid>FETCH-LOGICAL-c413t-4277d2bfb4f79daab65d5cc43f0bb9ec60a7128bbc2775f806d5176344369a293</originalsourceid><addsrcrecordid>eNqFkV9rFDEUxYModlv9AL5IEPRtNDczmUwel7ZWsdKC-hwy-bNNmU3WJAMu-OHNsIuKIH3Khfs7597cg9ALIG-BEP4uAyVAmlo2A-lJMzxCK2BMNIQKeIxWhPK2oXQQJ-g053tCgA6MP0UnMHQwcEZW6Oc6qGmffcbR4U8-2OI1VsHgm51NqvhY2_hWJbW1xaaMfcAKfylp1mVO1uDP0dgJu5jwWqf9VMVr7Q2-TdFUpMpxuUtx3tzhyx_V0W9tKNXxwma_Cc_QE6embJ8f3zP07f3l1_MPzfXN1cfz9XWjO2hL01HODR3d2DkujFJjzwzTumsdGUdhdU8Urz8bR11B5uopDAPet13X9kJR0Z6hNwffXYrfZ5uL3Pqs7TSpYOOcZS-ACMLpgyCF6kYZPAzWOBj0C_jqH_A-zqkeNUsQHGpabNkPDpBOMedkndzVS6m0l0DkkrQ8JC2XcklaDlXz8mg8j1tr_iiO0Vbg9RFQWavJJRW0z785CqRte1iG0wOXaytsbPprw_9O_wU8GcBB</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>197115559</pqid></control><display><type>article</type><title>Analysis of Kinetic and Operational Parameters in a Structured Model for Acrylic Acid Production through Experimental Design</title><source>MEDLINE</source><source>SpringerLink Journals</source><creator>Lunelli, B. H. ; Rivera, E. C. ; Vasco de Toledo, E. C. ; Wolf Maciel, M. R. ; Maciel Filho, R.</creator><creatorcontrib>Lunelli, B. H. ; Rivera, E. C. ; Vasco de Toledo, E. C. ; Wolf Maciel, M. R. ; Maciel Filho, R.</creatorcontrib><description>In biotechnological processes, a great number of factors can influence the income productivity and conversion. Normally, it is not evident which of these factors are the most important and how they interact. In this work, multivariate analysis techniques are used as experimental design coupled to a detailed deterministic model to identify the parameters with the most significant impact on the model to represent well the acrylic acid production process. It is proposed as an alternative process, having sugarcane as feedstock, to the petrochemical-based ones that have significant environmental impacts for their production. To increase the competitiveness of renewable acrylic-acid-based process, it is necessary to find out working conditions near the optimal region, which is not an easy task, as the process is multivariable and non-linear. The mapping of the dynamics of the developed process is made using techniques of factorial design together with the methodology of Plackett–Burman. It is shown that it is possible to increase the process performance by choosing optimized conditions for the reactor operation.</description><identifier>ISSN: 0273-2289</identifier><identifier>EISSN: 1559-0291</identifier><identifier>DOI: 10.1007/s12010-007-8060-8</identifier><identifier>PMID: 18418750</identifier><identifier>CODEN: ABIBDL</identifier><language>eng</language><publisher>New York: Humana Press Inc</publisher><subject>Acid production ; Acids ; Acrylates - metabolism ; Algorithms ; Biochemistry ; Biological and medical sciences ; Biotechnology ; Chemistry ; Chemistry and Materials Science ; Computer Simulation ; Environmental impact ; Experimental design ; Fundamental and applied biological sciences. Psychology ; Glucose - metabolism ; Kinetics ; Models, Biological ; Multivariate analysis ; Petrochemicals ; Pyruvic Acid - metabolism ; Saccharomyces cerevisiae - metabolism ; Saccharum - microbiology ; Studies ; Sugarcane ; Working conditions</subject><ispartof>Applied biochemistry and biotechnology, 2008-03, Vol.148 (1-3), p.175-187</ispartof><rights>Humana Press Inc. 2007</rights><rights>2009 INIST-CNRS</rights><rights>Humana Press 2008</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c413t-4277d2bfb4f79daab65d5cc43f0bb9ec60a7128bbc2775f806d5176344369a293</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12010-007-8060-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12010-007-8060-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>309,310,314,776,780,785,786,23909,23910,25118,27901,27902,41464,42533,51294</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=21033619$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/18418750$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Lunelli, B. H.</creatorcontrib><creatorcontrib>Rivera, E. C.</creatorcontrib><creatorcontrib>Vasco de Toledo, E. C.</creatorcontrib><creatorcontrib>Wolf Maciel, M. R.</creatorcontrib><creatorcontrib>Maciel Filho, R.</creatorcontrib><title>Analysis of Kinetic and Operational Parameters in a Structured Model for Acrylic Acid Production through Experimental Design</title><title>Applied biochemistry and biotechnology</title><addtitle>Appl Biochem Biotechnol</addtitle><addtitle>Appl Biochem Biotechnol</addtitle><description>In biotechnological processes, a great number of factors can influence the income productivity and conversion. Normally, it is not evident which of these factors are the most important and how they interact. In this work, multivariate analysis techniques are used as experimental design coupled to a detailed deterministic model to identify the parameters with the most significant impact on the model to represent well the acrylic acid production process. It is proposed as an alternative process, having sugarcane as feedstock, to the petrochemical-based ones that have significant environmental impacts for their production. To increase the competitiveness of renewable acrylic-acid-based process, it is necessary to find out working conditions near the optimal region, which is not an easy task, as the process is multivariable and non-linear. The mapping of the dynamics of the developed process is made using techniques of factorial design together with the methodology of Plackett–Burman. It is shown that it is possible to increase the process performance by choosing optimized conditions for the reactor operation.</description><subject>Acid production</subject><subject>Acids</subject><subject>Acrylates - metabolism</subject><subject>Algorithms</subject><subject>Biochemistry</subject><subject>Biological and medical sciences</subject><subject>Biotechnology</subject><subject>Chemistry</subject><subject>Chemistry and Materials Science</subject><subject>Computer Simulation</subject><subject>Environmental impact</subject><subject>Experimental design</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Glucose - metabolism</subject><subject>Kinetics</subject><subject>Models, Biological</subject><subject>Multivariate analysis</subject><subject>Petrochemicals</subject><subject>Pyruvic Acid - metabolism</subject><subject>Saccharomyces cerevisiae - metabolism</subject><subject>Saccharum - microbiology</subject><subject>Studies</subject><subject>Sugarcane</subject><subject>Working conditions</subject><issn>0273-2289</issn><issn>1559-0291</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkV9rFDEUxYModlv9AL5IEPRtNDczmUwel7ZWsdKC-hwy-bNNmU3WJAMu-OHNsIuKIH3Khfs7597cg9ALIG-BEP4uAyVAmlo2A-lJMzxCK2BMNIQKeIxWhPK2oXQQJ-g053tCgA6MP0UnMHQwcEZW6Oc6qGmffcbR4U8-2OI1VsHgm51NqvhY2_hWJbW1xaaMfcAKfylp1mVO1uDP0dgJu5jwWqf9VMVr7Q2-TdFUpMpxuUtx3tzhyx_V0W9tKNXxwma_Cc_QE6embJ8f3zP07f3l1_MPzfXN1cfz9XWjO2hL01HODR3d2DkujFJjzwzTumsdGUdhdU8Urz8bR11B5uopDAPet13X9kJR0Z6hNwffXYrfZ5uL3Pqs7TSpYOOcZS-ACMLpgyCF6kYZPAzWOBj0C_jqH_A-zqkeNUsQHGpabNkPDpBOMedkndzVS6m0l0DkkrQ8JC2XcklaDlXz8mg8j1tr_iiO0Vbg9RFQWavJJRW0z785CqRte1iG0wOXaytsbPprw_9O_wU8GcBB</recordid><startdate>20080301</startdate><enddate>20080301</enddate><creator>Lunelli, B. H.</creator><creator>Rivera, E. C.</creator><creator>Vasco de Toledo, E. C.</creator><creator>Wolf Maciel, M. R.</creator><creator>Maciel Filho, R.</creator><general>Humana Press Inc</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>7ST</scope><scope>7T7</scope><scope>7TM</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>AEUYN</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>M7P</scope><scope>P64</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>RC3</scope><scope>SOI</scope><scope>7QO</scope><scope>7X8</scope></search><sort><creationdate>20080301</creationdate><title>Analysis of Kinetic and Operational Parameters in a Structured Model for Acrylic Acid Production through Experimental Design</title><author>Lunelli, B. H. ; Rivera, E. C. ; Vasco de Toledo, E. C. ; Wolf Maciel, M. R. ; Maciel Filho, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c413t-4277d2bfb4f79daab65d5cc43f0bb9ec60a7128bbc2775f806d5176344369a293</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Acid production</topic><topic>Acids</topic><topic>Acrylates - metabolism</topic><topic>Algorithms</topic><topic>Biochemistry</topic><topic>Biological and medical sciences</topic><topic>Biotechnology</topic><topic>Chemistry</topic><topic>Chemistry and Materials Science</topic><topic>Computer Simulation</topic><topic>Environmental impact</topic><topic>Experimental design</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Glucose - metabolism</topic><topic>Kinetics</topic><topic>Models, Biological</topic><topic>Multivariate analysis</topic><topic>Petrochemicals</topic><topic>Pyruvic Acid - metabolism</topic><topic>Saccharomyces cerevisiae - metabolism</topic><topic>Saccharum - microbiology</topic><topic>Studies</topic><topic>Sugarcane</topic><topic>Working conditions</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lunelli, B. H.</creatorcontrib><creatorcontrib>Rivera, E. C.</creatorcontrib><creatorcontrib>Vasco de Toledo, E. C.</creatorcontrib><creatorcontrib>Wolf Maciel, M. R.</creatorcontrib><creatorcontrib>Maciel Filho, R.</creatorcontrib><collection>Pascal-Francis</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Nucleic Acids Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection (ProQuest)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>ProQuest Health & Medical Research Collection</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Health & Nursing</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>Genetics Abstracts</collection><collection>Environment Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Applied biochemistry and biotechnology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lunelli, B. H.</au><au>Rivera, E. C.</au><au>Vasco de Toledo, E. C.</au><au>Wolf Maciel, M. R.</au><au>Maciel Filho, R.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysis of Kinetic and Operational Parameters in a Structured Model for Acrylic Acid Production through Experimental Design</atitle><jtitle>Applied biochemistry and biotechnology</jtitle><stitle>Appl Biochem Biotechnol</stitle><addtitle>Appl Biochem Biotechnol</addtitle><date>2008-03-01</date><risdate>2008</risdate><volume>148</volume><issue>1-3</issue><spage>175</spage><epage>187</epage><pages>175-187</pages><issn>0273-2289</issn><eissn>1559-0291</eissn><coden>ABIBDL</coden><abstract>In biotechnological processes, a great number of factors can influence the income productivity and conversion. Normally, it is not evident which of these factors are the most important and how they interact. In this work, multivariate analysis techniques are used as experimental design coupled to a detailed deterministic model to identify the parameters with the most significant impact on the model to represent well the acrylic acid production process. It is proposed as an alternative process, having sugarcane as feedstock, to the petrochemical-based ones that have significant environmental impacts for their production. To increase the competitiveness of renewable acrylic-acid-based process, it is necessary to find out working conditions near the optimal region, which is not an easy task, as the process is multivariable and non-linear. The mapping of the dynamics of the developed process is made using techniques of factorial design together with the methodology of Plackett–Burman. It is shown that it is possible to increase the process performance by choosing optimized conditions for the reactor operation.</abstract><cop>New York</cop><pub>Humana Press Inc</pub><pmid>18418750</pmid><doi>10.1007/s12010-007-8060-8</doi><tpages>13</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0273-2289 |
ispartof | Applied biochemistry and biotechnology, 2008-03, Vol.148 (1-3), p.175-187 |
issn | 0273-2289 1559-0291 |
language | eng |
recordid | cdi_proquest_miscellaneous_69109072 |
source | MEDLINE; SpringerLink Journals |
subjects | Acid production Acids Acrylates - metabolism Algorithms Biochemistry Biological and medical sciences Biotechnology Chemistry Chemistry and Materials Science Computer Simulation Environmental impact Experimental design Fundamental and applied biological sciences. Psychology Glucose - metabolism Kinetics Models, Biological Multivariate analysis Petrochemicals Pyruvic Acid - metabolism Saccharomyces cerevisiae - metabolism Saccharum - microbiology Studies Sugarcane Working conditions |
title | Analysis of Kinetic and Operational Parameters in a Structured Model for Acrylic Acid Production through Experimental Design |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-21T13%3A37%3A10IST&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=Analysis%20of%20Kinetic%20and%20Operational%20Parameters%20in%20a%20Structured%20Model%20for%20Acrylic%20Acid%20Production%20through%20Experimental%20Design&rft.jtitle=Applied%20biochemistry%20and%20biotechnology&rft.au=Lunelli,%20B.%20H.&rft.date=2008-03-01&rft.volume=148&rft.issue=1-3&rft.spage=175&rft.epage=187&rft.pages=175-187&rft.issn=0273-2289&rft.eissn=1559-0291&rft.coden=ABIBDL&rft_id=info:doi/10.1007/s12010-007-8060-8&rft_dat=%3Cproquest_cross%3E1898745771%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=197115559&rft_id=info:pmid/18418750&rfr_iscdi=true |