Surface response methodology for the optimization of lipase production under submerged fermentation by filamentous fungi

Detalhes bibliográficos
Autor(a) principal: Colla,Luciane Maria
Data de Publicação: 2016
Outros Autores: Primaz,Andreiza Lazzarotto, Benedetti,Silvia, Loss,Raquel Aparecida, Lima,Marieli de, Reinehr,Christian Oliveira, Bertolin,Telma Elita, Costa,Jorge Alberto Vieira
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Brazilian Journal of Microbiology
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-83822016000200461
Resumo: Abstract A Plackett–Burman Factorial Design of 16 experiments was conducted to assess the influence of nine factors on the production of lipases by filamentous fungi. The factors investigated were bran type (used as the main carbon source), nitrogen source, nitrogen source concentration, inducer, inducer concentration, fungal strain (Aspergillus niger or Aspergillus flavus were selected as good lipase producers via submerged fermentation), pH and agitation. The concentration of the yeast extract and soybean oil and the pH had a significant effect (p < 0.05) on lipase production and were consecutively studied through a Full Factorial Design 23, with the concentration of yeast extract and pH being significant (p < 0.05). These variables were optimized using a central composite design, obtaining maximum lipolytic activities with the use of 45 g/L of yeast extract and pH 7.15. The statistical model showed a 94.12% correlation with the experimental data.
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spelling Surface response methodology for the optimization of lipase production under submerged fermentation by filamentous fungiAgricultural residuesLipaseOptimizationSubmerged bioprocessAbstract A Plackett–Burman Factorial Design of 16 experiments was conducted to assess the influence of nine factors on the production of lipases by filamentous fungi. The factors investigated were bran type (used as the main carbon source), nitrogen source, nitrogen source concentration, inducer, inducer concentration, fungal strain (Aspergillus niger or Aspergillus flavus were selected as good lipase producers via submerged fermentation), pH and agitation. The concentration of the yeast extract and soybean oil and the pH had a significant effect (p < 0.05) on lipase production and were consecutively studied through a Full Factorial Design 23, with the concentration of yeast extract and pH being significant (p < 0.05). These variables were optimized using a central composite design, obtaining maximum lipolytic activities with the use of 45 g/L of yeast extract and pH 7.15. The statistical model showed a 94.12% correlation with the experimental data.Sociedade Brasileira de Microbiologia2016-06-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-83822016000200461Brazilian Journal of Microbiology v.47 n.2 2016reponame:Brazilian Journal of Microbiologyinstname:Sociedade Brasileira de Microbiologia (SBM)instacron:SBM10.1016/j.bjm.2016.01.028info:eu-repo/semantics/openAccessColla,Luciane MariaPrimaz,Andreiza LazzarottoBenedetti,SilviaLoss,Raquel AparecidaLima,Marieli deReinehr,Christian OliveiraBertolin,Telma ElitaCosta,Jorge Alberto Vieiraeng2016-05-03T00:00:00Zoai:scielo:S1517-83822016000200461Revistahttps://www.scielo.br/j/bjm/ONGhttps://old.scielo.br/oai/scielo-oai.phpbjm@sbmicrobiologia.org.br||mbmartin@usp.br1678-44051517-8382opendoar:2016-05-03T00:00Brazilian Journal of Microbiology - Sociedade Brasileira de Microbiologia (SBM)false
dc.title.none.fl_str_mv Surface response methodology for the optimization of lipase production under submerged fermentation by filamentous fungi
title Surface response methodology for the optimization of lipase production under submerged fermentation by filamentous fungi
spellingShingle Surface response methodology for the optimization of lipase production under submerged fermentation by filamentous fungi
Colla,Luciane Maria
Agricultural residues
Lipase
Optimization
Submerged bioprocess
title_short Surface response methodology for the optimization of lipase production under submerged fermentation by filamentous fungi
title_full Surface response methodology for the optimization of lipase production under submerged fermentation by filamentous fungi
title_fullStr Surface response methodology for the optimization of lipase production under submerged fermentation by filamentous fungi
title_full_unstemmed Surface response methodology for the optimization of lipase production under submerged fermentation by filamentous fungi
title_sort Surface response methodology for the optimization of lipase production under submerged fermentation by filamentous fungi
author Colla,Luciane Maria
author_facet Colla,Luciane Maria
Primaz,Andreiza Lazzarotto
Benedetti,Silvia
Loss,Raquel Aparecida
Lima,Marieli de
Reinehr,Christian Oliveira
Bertolin,Telma Elita
Costa,Jorge Alberto Vieira
author_role author
author2 Primaz,Andreiza Lazzarotto
Benedetti,Silvia
Loss,Raquel Aparecida
Lima,Marieli de
Reinehr,Christian Oliveira
Bertolin,Telma Elita
Costa,Jorge Alberto Vieira
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Colla,Luciane Maria
Primaz,Andreiza Lazzarotto
Benedetti,Silvia
Loss,Raquel Aparecida
Lima,Marieli de
Reinehr,Christian Oliveira
Bertolin,Telma Elita
Costa,Jorge Alberto Vieira
dc.subject.por.fl_str_mv Agricultural residues
Lipase
Optimization
Submerged bioprocess
topic Agricultural residues
Lipase
Optimization
Submerged bioprocess
description Abstract A Plackett–Burman Factorial Design of 16 experiments was conducted to assess the influence of nine factors on the production of lipases by filamentous fungi. The factors investigated were bran type (used as the main carbon source), nitrogen source, nitrogen source concentration, inducer, inducer concentration, fungal strain (Aspergillus niger or Aspergillus flavus were selected as good lipase producers via submerged fermentation), pH and agitation. The concentration of the yeast extract and soybean oil and the pH had a significant effect (p < 0.05) on lipase production and were consecutively studied through a Full Factorial Design 23, with the concentration of yeast extract and pH being significant (p < 0.05). These variables were optimized using a central composite design, obtaining maximum lipolytic activities with the use of 45 g/L of yeast extract and pH 7.15. The statistical model showed a 94.12% correlation with the experimental data.
publishDate 2016
dc.date.none.fl_str_mv 2016-06-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-83822016000200461
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1517-83822016000200461
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1016/j.bjm.2016.01.028
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Microbiologia
publisher.none.fl_str_mv Sociedade Brasileira de Microbiologia
dc.source.none.fl_str_mv Brazilian Journal of Microbiology v.47 n.2 2016
reponame:Brazilian Journal of Microbiology
instname:Sociedade Brasileira de Microbiologia (SBM)
instacron:SBM
instname_str Sociedade Brasileira de Microbiologia (SBM)
instacron_str SBM
institution SBM
reponame_str Brazilian Journal of Microbiology
collection Brazilian Journal of Microbiology
repository.name.fl_str_mv Brazilian Journal of Microbiology - Sociedade Brasileira de Microbiologia (SBM)
repository.mail.fl_str_mv bjm@sbmicrobiologia.org.br||mbmartin@usp.br
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