Optimization of the xylan degradation activity of monolithic enzymatic membranes as a function of their composition using design of experiments
The aim of this work was the development and optimization of enzymatic monolithic membranes with high catalytic activity for the degradation of xylan into xylooligosaccharides. The chemometric tool design of experiments has been utilized here for the first time for the optimization of the enzymatic...
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| Veröffentlicht in: | Bioprocess and biosystems engineering 2006-10, Vol.29 (4), p.261-268 |
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| creator | CANO, Angels MOSCHOU, Elizabeth A DAUNERT, Sylvia COELLO, Jordi PALET, Cristina |
| description | The aim of this work was the development and optimization of enzymatic monolithic membranes with high catalytic activity for the degradation of xylan into xylooligosaccharides. The chemometric tool design of experiments has been utilized here for the first time for the optimization of the enzymatic activity of the monolithic membranes based on their constituents. The effect of three process variables, including the amount of various monomer contents and the porogenic solvents ratio, has been studied on the enzymatic activity of the resulted membranes. The experimental design chosen was a central face centred with six central points in order to obtain an orthogonal model, with the precision of the results being independent of the range of values considered for each parameter. The software Modde(c) 6.0 from Umetrics(c) was used to build and analyze the results of the experimental design using partial least squares regression. The optimization of the suggested model provided the best membrane composition to achieve maximum enzymatic activity, which can be related to the amount of enzyme immobilized on the monolithic membrane. The predictive capacity of the model was evaluated performing additional experiments. |
| doi_str_mv | 10.1007/s00449-006-0075-y |
| format | Article |
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The chemometric tool design of experiments has been utilized here for the first time for the optimization of the enzymatic activity of the monolithic membranes based on their constituents. The effect of three process variables, including the amount of various monomer contents and the porogenic solvents ratio, has been studied on the enzymatic activity of the resulted membranes. The experimental design chosen was a central face centred with six central points in order to obtain an orthogonal model, with the precision of the results being independent of the range of values considered for each parameter. The software Modde(c) 6.0 from Umetrics(c) was used to build and analyze the results of the experimental design using partial least squares regression. The optimization of the suggested model provided the best membrane composition to achieve maximum enzymatic activity, which can be related to the amount of enzyme immobilized on the monolithic membrane. The predictive capacity of the model was evaluated performing additional experiments.</description><identifier>ISSN: 1615-7591</identifier><identifier>EISSN: 1615-7605</identifier><identifier>DOI: 10.1007/s00449-006-0075-y</identifier><identifier>PMID: 16906388</identifier><language>eng</language><publisher>Berlin: Springer</publisher><subject>Biodegradation, Environmental ; Biological and medical sciences ; Biotechnology ; Combinatorial Chemistry Techniques - methods ; Computer Simulation ; Design of experiments ; Endo-1,4-beta Xylanases - chemistry ; Enzymatic activity ; Enzyme Activation ; Enzymes ; Enzymes, Immobilized - chemistry ; Experimental design ; Fundamental and applied biological sciences. 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The chemometric tool design of experiments has been utilized here for the first time for the optimization of the enzymatic activity of the monolithic membranes based on their constituents. The effect of three process variables, including the amount of various monomer contents and the porogenic solvents ratio, has been studied on the enzymatic activity of the resulted membranes. The experimental design chosen was a central face centred with six central points in order to obtain an orthogonal model, with the precision of the results being independent of the range of values considered for each parameter. The software Modde(c) 6.0 from Umetrics(c) was used to build and analyze the results of the experimental design using partial least squares regression. The optimization of the suggested model provided the best membrane composition to achieve maximum enzymatic activity, which can be related to the amount of enzyme immobilized on the monolithic membrane. The predictive capacity of the model was evaluated performing additional experiments.</description><subject>Biodegradation, Environmental</subject><subject>Biological and medical sciences</subject><subject>Biotechnology</subject><subject>Combinatorial Chemistry Techniques - methods</subject><subject>Computer Simulation</subject><subject>Design of experiments</subject><subject>Endo-1,4-beta Xylanases - chemistry</subject><subject>Enzymatic activity</subject><subject>Enzyme Activation</subject><subject>Enzymes</subject><subject>Enzymes, Immobilized - chemistry</subject><subject>Experimental design</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Kinetics</subject><subject>Membranes</subject><subject>Membranes, Artificial</subject><subject>Models, Chemical</subject><subject>Optimization</subject><subject>Polymers - chemistry</subject><subject>Research Design</subject><subject>Trichoderma - enzymology</subject><subject>Xylans - chemistry</subject><issn>1615-7591</issn><issn>1615-7605</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNpdkctu3SAQhlGVKvcH6KZCkdqdG8ZcbC-jKG0qRcqmXSOM8QmRARdwFOcl-srl5JwqVSUQI-abH2Z-hD4A-QKENJeJEMa6ihBRdsOr9R06BgG8agThB39j3sEROknpkRDgbU0O0RGIjgjatsfo9_2crbMvKtvgcRhxfjD4eZ2Ux4PZRDXsEkpn-2TzuiVc8GGy-cFqbPzL6gqhsTOuj8qbhFVZeFy8_kfRRqyDm0Oyr5dLsn5T9JPdvBLmeTbROuNzOkPvRzUlc74_T9HPrzc_rm-ru_tv36-v7irNapYrpQSjomYgRN-PhA1A2roVugHVcaKB12ps2kG3RHHW0171ptPNaAzwgWpN6Sn6vNOdY_i1mJSls0mbqTRuwpIkdKxruOAFvPgPfAxL9OVvUgAtr1IGBYIdpGNIKZpRzqUfFVcJRG6tkjurZLFKbq2Sa6n5uBdeemeGt4q9NwX4tAdU0moay3i1TW9cC4KLDugfAGqftg</recordid><startdate>20061001</startdate><enddate>20061001</enddate><creator>CANO, Angels</creator><creator>MOSCHOU, Elizabeth A</creator><creator>DAUNERT, Sylvia</creator><creator>COELLO, Jordi</creator><creator>PALET, Cristina</creator><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></search><sort><creationdate>20061001</creationdate><title>Optimization of the xylan degradation activity of monolithic enzymatic membranes as a function of their composition using design of experiments</title><author>CANO, Angels ; MOSCHOU, Elizabeth A ; DAUNERT, Sylvia ; COELLO, Jordi ; PALET, Cristina</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c424t-aa643624166bbf04d108286c71a950c152af78dc80a54b3babe9c7fee15d3cc33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Biodegradation, Environmental</topic><topic>Biological and medical sciences</topic><topic>Biotechnology</topic><topic>Combinatorial Chemistry Techniques - methods</topic><topic>Computer Simulation</topic><topic>Design of experiments</topic><topic>Endo-1,4-beta Xylanases - chemistry</topic><topic>Enzymatic activity</topic><topic>Enzyme Activation</topic><topic>Enzymes</topic><topic>Enzymes, Immobilized - chemistry</topic><topic>Experimental design</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Kinetics</topic><topic>Membranes</topic><topic>Membranes, Artificial</topic><topic>Models, Chemical</topic><topic>Optimization</topic><topic>Polymers - chemistry</topic><topic>Research Design</topic><topic>Trichoderma - enzymology</topic><topic>Xylans - chemistry</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>CANO, Angels</creatorcontrib><creatorcontrib>MOSCHOU, Elizabeth A</creatorcontrib><creatorcontrib>DAUNERT, Sylvia</creatorcontrib><creatorcontrib>COELLO, Jordi</creatorcontrib><creatorcontrib>PALET, Cristina</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>Bacteriology Abstracts (Microbiology B)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</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 Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</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>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>Biotechnology Research Abstracts</collection><jtitle>Bioprocess and biosystems engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>CANO, Angels</au><au>MOSCHOU, Elizabeth A</au><au>DAUNERT, Sylvia</au><au>COELLO, Jordi</au><au>PALET, Cristina</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Optimization of the xylan degradation activity of monolithic enzymatic membranes as a function of their composition using design of experiments</atitle><jtitle>Bioprocess and biosystems engineering</jtitle><addtitle>Bioprocess Biosyst Eng</addtitle><date>2006-10-01</date><risdate>2006</risdate><volume>29</volume><issue>4</issue><spage>261</spage><epage>268</epage><pages>261-268</pages><issn>1615-7591</issn><eissn>1615-7605</eissn><abstract>The aim of this work was the development and optimization of enzymatic monolithic membranes with high catalytic activity for the degradation of xylan into xylooligosaccharides. The chemometric tool design of experiments has been utilized here for the first time for the optimization of the enzymatic activity of the monolithic membranes based on their constituents. The effect of three process variables, including the amount of various monomer contents and the porogenic solvents ratio, has been studied on the enzymatic activity of the resulted membranes. The experimental design chosen was a central face centred with six central points in order to obtain an orthogonal model, with the precision of the results being independent of the range of values considered for each parameter. The software Modde(c) 6.0 from Umetrics(c) was used to build and analyze the results of the experimental design using partial least squares regression. The optimization of the suggested model provided the best membrane composition to achieve maximum enzymatic activity, which can be related to the amount of enzyme immobilized on the monolithic membrane. The predictive capacity of the model was evaluated performing additional experiments.</abstract><cop>Berlin</cop><pub>Springer</pub><pmid>16906388</pmid><doi>10.1007/s00449-006-0075-y</doi><tpages>8</tpages></addata></record> |
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| subjects | Biodegradation, Environmental Biological and medical sciences Biotechnology Combinatorial Chemistry Techniques - methods Computer Simulation Design of experiments Endo-1,4-beta Xylanases - chemistry Enzymatic activity Enzyme Activation Enzymes Enzymes, Immobilized - chemistry Experimental design Fundamental and applied biological sciences. Psychology Kinetics Membranes Membranes, Artificial Models, Chemical Optimization Polymers - chemistry Research Design Trichoderma - enzymology Xylans - chemistry |
| title | Optimization of the xylan degradation activity of monolithic enzymatic membranes as a function of their composition using design of experiments |
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