Multimodal characterization of acid-pretreated poplar reveals spectral and structural parameters strongly correlate with saccharification.
Identifieur interne : 000829 ( Main/Exploration ); précédent : 000828; suivant : 000830Multimodal characterization of acid-pretreated poplar reveals spectral and structural parameters strongly correlate with saccharification.
Auteurs : Aya Zoghlami [France] ; Yassin Refahi [France] ; Christine Terryn [France] ; Gabriel Paës [France]Source :
- Bioresource technology [ 1873-2976 ] ; 2019.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- chemical : Acids, Lignin.
- Biomass, Hydrolysis, Microscopy, Electron, Scanning, Populus.
Abstract
Lignocellulose biomass can be transformed into sustainable chemicals, materials and energy but its natural recalcitrance requires the use of pretreatment to enhance subsequent catalytic steps. Dilute acid pretreatment is one of the most common and efficient ones, however its impact has not yet been investigated simultaneously at nano- and cellular-scales. Poplar samples have been pretreated by dilute acid at different controlled severities, then characterized by combined structural and spectral techniques (scanning electron microscopy, confocal microscopy, autofluorescence, fluorescence lifetime, Raman). Results show that pretreatment favours lignin depolymerization until severity of 2.4-2.5 while at severity of 2.7 lignin seems to repolymerize as revealed by broadening of autofluorescence spectrum and strong decrease in fluorescence lifetime. Importantly, both nano-scale and cellular-scale markers can predict hydrolysis yield of pretreated samples, highlighting some connections in the multiscale recalcitrance of lignocellulose.
DOI: 10.1016/j.biortech.2019.122015
PubMed: 31454737
Affiliations:
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Dilute acid pretreatment is one of the most common and efficient ones, however its impact has not yet been investigated simultaneously at nano- and cellular-scales. Poplar samples have been pretreated by dilute acid at different controlled severities, then characterized by combined structural and spectral techniques (scanning electron microscopy, confocal microscopy, autofluorescence, fluorescence lifetime, Raman). Results show that pretreatment favours lignin depolymerization until severity of 2.4-2.5 while at severity of 2.7 lignin seems to repolymerize as revealed by broadening of autofluorescence spectrum and strong decrease in fluorescence lifetime. Importantly, both nano-scale and cellular-scale markers can predict hydrolysis yield of pretreated samples, highlighting some connections in the multiscale recalcitrance of lignocellulose.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Automated" Owner="NLM"><PMID Version="1">31454737</PMID><DateCompleted><Year>2019</Year><Month>10</Month><Day>09</Day></DateCompleted><DateRevised><Year>2019</Year><Month>10</Month><Day>10</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1873-2976</ISSN><JournalIssue CitedMedium="Internet"><Volume>293</Volume><PubDate><Year>2019</Year><Month>Dec</Month></PubDate></JournalIssue><Title>Bioresource technology</Title><ISOAbbreviation>Bioresour Technol</ISOAbbreviation></Journal><ArticleTitle>Multimodal characterization of acid-pretreated poplar reveals spectral and structural parameters strongly correlate with saccharification.</ArticleTitle><Pagination><MedlinePgn>122015</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0960-8524(19)31245-3</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.biortech.2019.122015</ELocationID><Abstract><AbstractText>Lignocellulose biomass can be transformed into sustainable chemicals, materials and energy but its natural recalcitrance requires the use of pretreatment to enhance subsequent catalytic steps. Dilute acid pretreatment is one of the most common and efficient ones, however its impact has not yet been investigated simultaneously at nano- and cellular-scales. Poplar samples have been pretreated by dilute acid at different controlled severities, then characterized by combined structural and spectral techniques (scanning electron microscopy, confocal microscopy, autofluorescence, fluorescence lifetime, Raman). Results show that pretreatment favours lignin depolymerization until severity of 2.4-2.5 while at severity of 2.7 lignin seems to repolymerize as revealed by broadening of autofluorescence spectrum and strong decrease in fluorescence lifetime. Importantly, both nano-scale and cellular-scale markers can predict hydrolysis yield of pretreated samples, highlighting some connections in the multiscale recalcitrance of lignocellulose.</AbstractText><CopyrightInformation>Copyright © 2019 Elsevier Ltd. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Zoghlami</LastName><ForeName>Aya</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>FARE Laboratory, INRA, Université de Reims Champagne Ardenne, Reims, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Refahi</LastName><ForeName>Yassin</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>FARE Laboratory, INRA, Université de Reims Champagne Ardenne, Reims, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Terryn</LastName><ForeName>Christine</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Platform of Cellular and Tissular Imaging (PICT), Université de Reims Champagne Ardenne, Reims, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Paës</LastName><ForeName>Gabriel</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>FARE Laboratory, INRA, Université de Reims Champagne Ardenne, Reims, France. Electronic address: gabriel.paes@inra.fr.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2019</Year><Month>08</Month><Day>16</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Bioresour Technol</MedlineTA><NlmUniqueID>9889523</NlmUniqueID><ISSNLinking>0960-8524</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D000143">Acids</NameOfSubstance></Chemical><Chemical><RegistryNumber>9005-53-2</RegistryNumber><NameOfSubstance UI="D008031">Lignin</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000143" MajorTopicYN="N">Acids</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018533" MajorTopicYN="N">Biomass</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006868" MajorTopicYN="N">Hydrolysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008031" MajorTopicYN="Y">Lignin</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008855" MajorTopicYN="N">Microscopy, Electron, Scanning</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D032107" MajorTopicYN="Y">Populus</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Hydrolysis</Keyword><Keyword MajorTopicYN="N">Lignocellulose</Keyword><Keyword MajorTopicYN="N">Multiscale</Keyword><Keyword MajorTopicYN="N">Pretreatment</Keyword><Keyword MajorTopicYN="N">Recalcitrance</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2019</Year><Month>06</Month><Day>21</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2019</Year><Month>08</Month><Day>12</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2019</Year><Month>08</Month><Day>13</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2019</Year><Month>8</Month><Day>28</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2019</Year><Month>10</Month><Day>11</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2019</Year><Month>8</Month><Day>28</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">31454737</ArticleId><ArticleId IdType="pii">S0960-8524(19)31245-3</ArticleId><ArticleId IdType="doi">10.1016/j.biortech.2019.122015</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>France</li></country><region><li>Champagne-Ardenne</li><li>Grand Est</li></region><settlement><li>Reims</li></settlement><orgName><li>Université de Reims Champagne-Ardenne</li></orgName></list><tree><country name="France"><region name="Grand Est"><name sortKey="Zoghlami, Aya" sort="Zoghlami, Aya" uniqKey="Zoghlami A" first="Aya" last="Zoghlami">Aya Zoghlami</name></region><name sortKey="Paes, Gabriel" sort="Paes, Gabriel" uniqKey="Paes G" first="Gabriel" last="Paës">Gabriel Paës</name><name sortKey="Refahi, Yassin" sort="Refahi, Yassin" uniqKey="Refahi Y" first="Yassin" last="Refahi">Yassin Refahi</name><name sortKey="Terryn, Christine" sort="Terryn, Christine" uniqKey="Terryn C" first="Christine" last="Terryn">Christine Terryn</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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