Process optimization and modeling of trichlorophenol degradation by Phanerochaete chrysosporium.
Identifieur interne : 000D02 ( Main/Corpus ); précédent : 000D01; suivant : 000D03Process optimization and modeling of trichlorophenol degradation by Phanerochaete chrysosporium.
Auteurs : N. Pal ; G. Lewandowski ; P M ArmenanteSource :
- Biotechnology and bioengineering [ 0006-3592 ] ; 1995.
Abstract
The biodegradation of 2,4,6-trichlorophenol and 2,4,5-trichlorophenol by the white rot fungus Phanerochaete chrysosporium was studied in batch and continuous reactor systems. Experiments were conducted in shake flasks as well as in packed-bed reactors in which the fungus was immobilized. The degradation rates in the packed-bed reactors were found to be two orders of magnitude greater than those obtained in the shake flasks in which the fungus was just suspended. The degradation rate was found to be influenced by the concentrations of the carbon and nitrogen sources, pH, and fluid shear stress. Optimal ranges of these parameters to maximize biodegradation were determined. A mathematical model was developed in which the degradation process was assumed to consist of two sequential reaction steps, the first catalyzed by an extracellular enzyme system and the second requiring the presence of the mycelium. The deactivation of the extracellular enzyme system was also accounted for in the model. The Michaelis-Menten and the enzyme deactivation parameters were determined independently. Good agreement between the experimental data and the results produced by the regression was found.
DOI: 10.1002/bit.260460613
PubMed: 18623355
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Lewandowski</name></author><author><name sortKey="Armenante, P M" sort="Armenante, P M" uniqKey="Armenante P" first="P M" last="Armenante">P M Armenante</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="1995">1995</date><idno type="RBID">pubmed:18623355</idno><idno type="pmid">18623355</idno><idno type="doi">10.1002/bit.260460613</idno><idno type="wicri:Area/Main/Corpus">000D02</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000D02</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Process optimization and modeling of trichlorophenol degradation by Phanerochaete chrysosporium.</title><author><name sortKey="Pal, N" sort="Pal, N" uniqKey="Pal N" first="N" last="Pal">N. Pal</name><affiliation><nlm:affiliation>Department of Chemical Engineering, Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, New Jersey 07102-1982, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Lewandowski, G" sort="Lewandowski, G" uniqKey="Lewandowski G" first="G" last="Lewandowski">G. Lewandowski</name></author><author><name sortKey="Armenante, P M" sort="Armenante, P M" uniqKey="Armenante P" first="P M" last="Armenante">P M Armenante</name></author></analytic><series><title level="j">Biotechnology and bioengineering</title><idno type="ISSN">0006-3592</idno><imprint><date when="1995" type="published">1995</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The biodegradation of 2,4,6-trichlorophenol and 2,4,5-trichlorophenol by the white rot fungus Phanerochaete chrysosporium was studied in batch and continuous reactor systems. Experiments were conducted in shake flasks as well as in packed-bed reactors in which the fungus was immobilized. The degradation rates in the packed-bed reactors were found to be two orders of magnitude greater than those obtained in the shake flasks in which the fungus was just suspended. The degradation rate was found to be influenced by the concentrations of the carbon and nitrogen sources, pH, and fluid shear stress. Optimal ranges of these parameters to maximize biodegradation were determined. A mathematical model was developed in which the degradation process was assumed to consist of two sequential reaction steps, the first catalyzed by an extracellular enzyme system and the second requiring the presence of the mycelium. The deactivation of the extracellular enzyme system was also accounted for in the model. The Michaelis-Menten and the enzyme deactivation parameters were determined independently. Good agreement between the experimental data and the results produced by the regression was found.</div></front></TEI><pubmed><MedlineCitation Status="PubMed-not-MEDLINE" Owner="NLM"><PMID Version="1">18623355</PMID><DateCompleted><Year>2012</Year><Month>10</Month><Day>02</Day></DateCompleted><DateRevised><Year>2008</Year><Month>07</Month><Day>14</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0006-3592</ISSN><JournalIssue CitedMedium="Print"><Volume>46</Volume><Issue>6</Issue><PubDate><Year>1995</Year><Month>Jun</Month><Day>20</Day></PubDate></JournalIssue><Title>Biotechnology and bioengineering</Title><ISOAbbreviation>Biotechnol Bioeng</ISOAbbreviation></Journal><ArticleTitle>Process optimization and modeling of trichlorophenol degradation by Phanerochaete chrysosporium.</ArticleTitle><Pagination><MedlinePgn>599-609</MedlinePgn></Pagination><Abstract><AbstractText>The biodegradation of 2,4,6-trichlorophenol and 2,4,5-trichlorophenol by the white rot fungus Phanerochaete chrysosporium was studied in batch and continuous reactor systems. Experiments were conducted in shake flasks as well as in packed-bed reactors in which the fungus was immobilized. The degradation rates in the packed-bed reactors were found to be two orders of magnitude greater than those obtained in the shake flasks in which the fungus was just suspended. The degradation rate was found to be influenced by the concentrations of the carbon and nitrogen sources, pH, and fluid shear stress. Optimal ranges of these parameters to maximize biodegradation were determined. A mathematical model was developed in which the degradation process was assumed to consist of two sequential reaction steps, the first catalyzed by an extracellular enzyme system and the second requiring the presence of the mycelium. The deactivation of the extracellular enzyme system was also accounted for in the model. The Michaelis-Menten and the enzyme deactivation parameters were determined independently. Good agreement between the experimental data and the results produced by the regression was found.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Pal</LastName><ForeName>N</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>Department of Chemical Engineering, Chemistry and Environmental Science, New Jersey Institute of Technology, Newark, New Jersey 07102-1982, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lewandowski</LastName><ForeName>G</ForeName><Initials>G</Initials></Author><Author ValidYN="Y"><LastName>Armenante</LastName><ForeName>P M</ForeName><Initials>PM</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Biotechnol Bioeng</MedlineTA><NlmUniqueID>7502021</NlmUniqueID><ISSNLinking>0006-3592</ISSNLinking></MedlineJournalInfo></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>1995</Year><Month>6</Month><Day>20</Day><Hour>0</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>1995</Year><Month>6</Month><Day>20</Day><Hour>0</Hour><Minute>1</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>1995</Year><Month>6</Month><Day>20</Day><Hour>0</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">18623355</ArticleId><ArticleId IdType="doi">10.1002/bit.260460613</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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