Estimation of treatment time for microbial preprocessing of biomass.
Identifieur interne : 000566 ( Main/Exploration ); précédent : 000565; suivant : 000567Estimation of treatment time for microbial preprocessing of biomass.
Auteurs : Swetha Mahalaxmi [États-Unis] ; Colin R. Jackson ; Clint Williford ; Charles L. BurandtSource :
- Applied biochemistry and biotechnology [ 1559-0291 ] ; 2010.
Descripteurs français
- KwdFr :
- MESH :
- analyse : Glucose.
- enzymologie : Phanerochaete.
- métabolisme : Phanerochaete, Poaceae.
- méthodes : Biotechnologie.
- Biomasse, Facteurs temps.
English descriptors
- KwdEn :
- MESH :
- chemical , analysis : Glucose.
- enzymology : Phanerochaete.
- metabolism : Phanerochaete, Poaceae.
- methods : Biotechnology.
- Biomass, Time Factors.
Abstract
Biochemical conversion of lignocellulosic biomass to ethanol involves size reduction, preprocessing, pretreatment, enzyme hydrolysis, and fermentation. In recent years, microbial preprocessing has been gaining attention as a means to produce labile biomass for lessening the requirement of pretreatment severity. However, loss of sugars due to microbial consumption is a major consequence, suggesting its minimization through optimization of nutrients, temperature, and preprocessing time. In this work, we emphasized estimation of fungal preprocessing time, at which higher sugar yields can be achieved after preprocessing and enzyme hydrolysis. The estimation is based on the enzymatic activity profile obtained by treating switchgrass with Phanerochaete chrysosporium for 28 days. Enzyme assays were conducted once in every 7 days for 28 days, for activities of phenol oxidase, peroxidase, beta-glucosidase, beta-xylosidase, and cellobiohydrolase. We found no activity for phenol oxidase and peroxidase, but the greatest activities for cellulases on the seventh day. We then treated switchgrass for 7 days with P. chrysosporium and observed that the preprocessed switchgrass had higher glucan (39%), xylan (17.5%), and total sugar yields (25.5%) than the unpreprocessed switchgrass (34%, 37.5%, and 20.5%, respectively, p < 0.05). This verifies the utility of using enzyme assays for initial estimation of preprocessing time to enhance sugar yields.
DOI: 10.1007/s12010-010-8917-0
PubMed: 20703957
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Estimation of treatment time for microbial preprocessing of biomass.</title><author><name sortKey="Mahalaxmi, Swetha" sort="Mahalaxmi, Swetha" uniqKey="Mahalaxmi S" first="Swetha" last="Mahalaxmi">Swetha Mahalaxmi</name><affiliation wicri:level="2"><nlm:affiliation>Department of Chemical Engineering, University of Mississippi, University, MS 38655, USA. swetha.mahalaxmi@gmail.com</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Chemical Engineering, University of Mississippi, University, MS 38655</wicri:regionArea><placeName><region type="state">État du Mississippi</region></placeName></affiliation></author><author><name sortKey="Jackson, Colin R" sort="Jackson, Colin R" uniqKey="Jackson C" first="Colin R" last="Jackson">Colin R. Jackson</name></author><author><name sortKey="Williford, Clint" sort="Williford, Clint" uniqKey="Williford C" first="Clint" last="Williford">Clint Williford</name></author><author><name sortKey="Burandt, Charles L" sort="Burandt, Charles L" uniqKey="Burandt C" first="Charles L" last="Burandt">Charles L. Burandt</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2010">2010</date><idno type="RBID">pubmed:20703957</idno><idno type="pmid">20703957</idno><idno type="doi">10.1007/s12010-010-8917-0</idno><idno type="wicri:Area/Main/Corpus">000541</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000541</idno><idno type="wicri:Area/Main/Curation">000541</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000541</idno><idno type="wicri:Area/Main/Exploration">000541</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Estimation of treatment time for microbial preprocessing of biomass.</title><author><name sortKey="Mahalaxmi, Swetha" sort="Mahalaxmi, Swetha" uniqKey="Mahalaxmi S" first="Swetha" last="Mahalaxmi">Swetha Mahalaxmi</name><affiliation wicri:level="2"><nlm:affiliation>Department of Chemical Engineering, University of Mississippi, University, MS 38655, USA. swetha.mahalaxmi@gmail.com</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Chemical Engineering, University of Mississippi, University, MS 38655</wicri:regionArea><placeName><region type="state">État du Mississippi</region></placeName></affiliation></author><author><name sortKey="Jackson, Colin R" sort="Jackson, Colin R" uniqKey="Jackson C" first="Colin R" last="Jackson">Colin R. Jackson</name></author><author><name sortKey="Williford, Clint" sort="Williford, Clint" uniqKey="Williford C" first="Clint" last="Williford">Clint Williford</name></author><author><name sortKey="Burandt, Charles L" sort="Burandt, Charles L" uniqKey="Burandt C" first="Charles L" last="Burandt">Charles L. Burandt</name></author></analytic><series><title level="j">Applied biochemistry and biotechnology</title><idno type="eISSN">1559-0291</idno><imprint><date when="2010" type="published">2010</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Biomass (MeSH)</term><term>Biotechnology (methods)</term><term>Glucose (analysis)</term><term>Phanerochaete (enzymology)</term><term>Phanerochaete (metabolism)</term><term>Poaceae (metabolism)</term><term>Time Factors (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Biomasse (MeSH)</term><term>Biotechnologie (méthodes)</term><term>Facteurs temps (MeSH)</term><term>Glucose (analyse)</term><term>Phanerochaete (enzymologie)</term><term>Phanerochaete (métabolisme)</term><term>Poaceae (métabolisme)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Glucose</term></keywords><keywords scheme="MESH" qualifier="analyse" xml:lang="fr"><term>Glucose</term></keywords><keywords scheme="MESH" qualifier="enzymologie" xml:lang="fr"><term>Phanerochaete</term></keywords><keywords scheme="MESH" qualifier="enzymology" xml:lang="en"><term>Phanerochaete</term></keywords><keywords scheme="MESH" qualifier="metabolism" xml:lang="en"><term>Phanerochaete</term><term>Poaceae</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Biotechnology</term></keywords><keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Phanerochaete</term><term>Poaceae</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Biotechnologie</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Biomass</term><term>Time Factors</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Biomasse</term><term>Facteurs temps</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Biochemical conversion of lignocellulosic biomass to ethanol involves size reduction, preprocessing, pretreatment, enzyme hydrolysis, and fermentation. In recent years, microbial preprocessing has been gaining attention as a means to produce labile biomass for lessening the requirement of pretreatment severity. However, loss of sugars due to microbial consumption is a major consequence, suggesting its minimization through optimization of nutrients, temperature, and preprocessing time. In this work, we emphasized estimation of fungal preprocessing time, at which higher sugar yields can be achieved after preprocessing and enzyme hydrolysis. The estimation is based on the enzymatic activity profile obtained by treating switchgrass with Phanerochaete chrysosporium for 28 days. Enzyme assays were conducted once in every 7 days for 28 days, for activities of phenol oxidase, peroxidase, beta-glucosidase, beta-xylosidase, and cellobiohydrolase. We found no activity for phenol oxidase and peroxidase, but the greatest activities for cellulases on the seventh day. We then treated switchgrass for 7 days with P. chrysosporium and observed that the preprocessed switchgrass had higher glucan (39%), xylan (17.5%), and total sugar yields (25.5%) than the unpreprocessed switchgrass (34%, 37.5%, and 20.5%, respectively, p < 0.05). This verifies the utility of using enzyme assays for initial estimation of preprocessing time to enhance sugar yields.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">20703957</PMID><DateCompleted><Year>2010</Year><Month>11</Month><Day>22</Day></DateCompleted><DateRevised><Year>2013</Year><Month>11</Month><Day>21</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1559-0291</ISSN><JournalIssue CitedMedium="Internet"><Volume>162</Volume><Issue>5</Issue><PubDate><Year>2010</Year><Month>Nov</Month></PubDate></JournalIssue><Title>Applied biochemistry and biotechnology</Title><ISOAbbreviation>Appl Biochem Biotechnol</ISOAbbreviation></Journal><ArticleTitle>Estimation of treatment time for microbial preprocessing of biomass.</ArticleTitle><Pagination><MedlinePgn>1414-22</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1007/s12010-010-8917-0</ELocationID><Abstract><AbstractText>Biochemical conversion of lignocellulosic biomass to ethanol involves size reduction, preprocessing, pretreatment, enzyme hydrolysis, and fermentation. In recent years, microbial preprocessing has been gaining attention as a means to produce labile biomass for lessening the requirement of pretreatment severity. However, loss of sugars due to microbial consumption is a major consequence, suggesting its minimization through optimization of nutrients, temperature, and preprocessing time. In this work, we emphasized estimation of fungal preprocessing time, at which higher sugar yields can be achieved after preprocessing and enzyme hydrolysis. The estimation is based on the enzymatic activity profile obtained by treating switchgrass with Phanerochaete chrysosporium for 28 days. Enzyme assays were conducted once in every 7 days for 28 days, for activities of phenol oxidase, peroxidase, beta-glucosidase, beta-xylosidase, and cellobiohydrolase. We found no activity for phenol oxidase and peroxidase, but the greatest activities for cellulases on the seventh day. We then treated switchgrass for 7 days with P. chrysosporium and observed that the preprocessed switchgrass had higher glucan (39%), xylan (17.5%), and total sugar yields (25.5%) than the unpreprocessed switchgrass (34%, 37.5%, and 20.5%, respectively, p < 0.05). This verifies the utility of using enzyme assays for initial estimation of preprocessing time to enhance sugar yields.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Mahalaxmi</LastName><ForeName>Swetha</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Department of Chemical Engineering, University of Mississippi, University, MS 38655, USA. swetha.mahalaxmi@gmail.com</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jackson</LastName><ForeName>Colin R</ForeName><Initials>CR</Initials></Author><Author ValidYN="Y"><LastName>Williford</LastName><ForeName>Clint</ForeName><Initials>C</Initials></Author><Author ValidYN="Y"><LastName>Burandt</LastName><ForeName>Charles L</ForeName><Initials>CL</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D013486">Research Support, U.S. Gov't, Non-P.H.S.</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2010</Year><Month>02</Month><Day>21</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Appl Biochem Biotechnol</MedlineTA><NlmUniqueID>8208561</NlmUniqueID><ISSNLinking>0273-2289</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>IY9XDZ35W2</RegistryNumber><NameOfSubstance UI="D005947">Glucose</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D018533" MajorTopicYN="Y">Biomass</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001709" MajorTopicYN="N">Biotechnology</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005947" MajorTopicYN="N">Glucose</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="N">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D020075" MajorTopicYN="N">Phanerochaete</DescriptorName><QualifierName UI="Q000201" MajorTopicYN="N">enzymology</QualifierName><QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006109" MajorTopicYN="N">Poaceae</DescriptorName><QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D013997" MajorTopicYN="N">Time Factors</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2009</Year><Month>10</Month><Day>22</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2010</Year><Month>01</Month><Day>17</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2010</Year><Month>8</Month><Day>13</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2010</Year><Month>8</Month><Day>13</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2010</Year><Month>12</Month><Day>14</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">20703957</ArticleId><ArticleId IdType="doi">10.1007/s12010-010-8917-0</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>États-Unis</li></country><region><li>État du Mississippi</li></region></list><tree><noCountry><name sortKey="Burandt, Charles L" sort="Burandt, Charles L" uniqKey="Burandt C" first="Charles L" last="Burandt">Charles L. Burandt</name><name sortKey="Jackson, Colin R" sort="Jackson, Colin R" uniqKey="Jackson C" first="Colin R" last="Jackson">Colin R. Jackson</name><name sortKey="Williford, Clint" sort="Williford, Clint" uniqKey="Williford C" first="Clint" last="Williford">Clint Williford</name></noCountry><country name="États-Unis"><region name="État du Mississippi"><name sortKey="Mahalaxmi, Swetha" sort="Mahalaxmi, Swetha" uniqKey="Mahalaxmi S" first="Swetha" last="Mahalaxmi">Swetha Mahalaxmi</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Bois/explor/PhanerochaeteV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000566 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000566 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Bois
|area= PhanerochaeteV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:20703957
|texte= Estimation of treatment time for microbial preprocessing of biomass.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:20703957" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a PhanerochaeteV1
| This area was generated with Dilib version V0.6.37. |  |