Empirical modelling as an experimental approach to optimize lactone production

Detalhes bibliográficos
Autor(a) principal: Gomes, Nelma
Data de Publicação: 2011
Outros Autores: Teixeira, J. A., Belo, Isabel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/16847
Resumo: The biotransformation of ricinoleic acid, carried out by Yarrowia lipolytica, leads to the formation of gama-decalactone, a well-known peach-like aroma compound, interesting to produce and to use in the flavouring industry, reason why it is imperative to define the most appropriate conditions for its production. Thus, the aim of this work is the optimization of operating conditions for this lactone. However, as the accumulation of another compound, namely 3-hydroxy-g-decalactone (the precursor of two other aromatic compounds, dec-2-enolide and dec-3-enolide), may also occur simultaneously in the biotransformation medium, and since this compound may as well be of interest for the flavouring industry, the operating conditions for its production were also a focus of attention. Therefore, a 3^2 level full-factorial design was used to determine the effect of pH and dissolved oxygen concentration (DO) on the production of gama-decalactone and 3-hydroxy-gama-decalactone. Since both factors were found to influence the two lactones production, a response surface methodology (RSM) analysis was also applied to identify the optimal conditions for the production of those two compounds. The statistical model pointed out pH = 6.17 and DO = 44.4% as the best conditions optimizing gama-decalactone production. Using these optimalconditions, the maximal gama-decalactone concentration achieved was 680.9 mg/L, which was quite similar to the predicted value of 718.7 mg gama-decalactone per liter. Among the range of operating conditions tested, no optimization was possible for 3-hydroxy-gama-decalactone production, since all possible solutions corresponded to operating conditions not analyzed.
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spelling Empirical modelling as an experimental approach to optimize lactone productionScience & TechnologyThe biotransformation of ricinoleic acid, carried out by Yarrowia lipolytica, leads to the formation of gama-decalactone, a well-known peach-like aroma compound, interesting to produce and to use in the flavouring industry, reason why it is imperative to define the most appropriate conditions for its production. Thus, the aim of this work is the optimization of operating conditions for this lactone. However, as the accumulation of another compound, namely 3-hydroxy-g-decalactone (the precursor of two other aromatic compounds, dec-2-enolide and dec-3-enolide), may also occur simultaneously in the biotransformation medium, and since this compound may as well be of interest for the flavouring industry, the operating conditions for its production were also a focus of attention. Therefore, a 3^2 level full-factorial design was used to determine the effect of pH and dissolved oxygen concentration (DO) on the production of gama-decalactone and 3-hydroxy-gama-decalactone. Since both factors were found to influence the two lactones production, a response surface methodology (RSM) analysis was also applied to identify the optimal conditions for the production of those two compounds. The statistical model pointed out pH = 6.17 and DO = 44.4% as the best conditions optimizing gama-decalactone production. Using these optimalconditions, the maximal gama-decalactone concentration achieved was 680.9 mg/L, which was quite similar to the predicted value of 718.7 mg gama-decalactone per liter. Among the range of operating conditions tested, no optimization was possible for 3-hydroxy-gama-decalactone production, since all possible solutions corresponded to operating conditions not analyzed.The authors aknowledge Fundacao para a Ciencia e Tecnologia (FCT) for the financial support provided (SFRH/BD/28039/2006) and Hector Ruiz for the help provided with MATLAB.Royal Society of ChemistryUniversidade do MinhoGomes, NelmaTeixeira, J. A.Belo, Isabel20112011-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/16847eng2044-475310.1039/c0cy00017ehttp://dx.doi.org/10.1039/c0cy00017einfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:29:10Zoai:repositorium.sdum.uminho.pt:1822/16847Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:24:08.511196Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Empirical modelling as an experimental approach to optimize lactone production
title Empirical modelling as an experimental approach to optimize lactone production
spellingShingle Empirical modelling as an experimental approach to optimize lactone production
Gomes, Nelma
Science & Technology
title_short Empirical modelling as an experimental approach to optimize lactone production
title_full Empirical modelling as an experimental approach to optimize lactone production
title_fullStr Empirical modelling as an experimental approach to optimize lactone production
title_full_unstemmed Empirical modelling as an experimental approach to optimize lactone production
title_sort Empirical modelling as an experimental approach to optimize lactone production
author Gomes, Nelma
author_facet Gomes, Nelma
Teixeira, J. A.
Belo, Isabel
author_role author
author2 Teixeira, J. A.
Belo, Isabel
author2_role author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Gomes, Nelma
Teixeira, J. A.
Belo, Isabel
dc.subject.por.fl_str_mv Science & Technology
topic Science & Technology
description The biotransformation of ricinoleic acid, carried out by Yarrowia lipolytica, leads to the formation of gama-decalactone, a well-known peach-like aroma compound, interesting to produce and to use in the flavouring industry, reason why it is imperative to define the most appropriate conditions for its production. Thus, the aim of this work is the optimization of operating conditions for this lactone. However, as the accumulation of another compound, namely 3-hydroxy-g-decalactone (the precursor of two other aromatic compounds, dec-2-enolide and dec-3-enolide), may also occur simultaneously in the biotransformation medium, and since this compound may as well be of interest for the flavouring industry, the operating conditions for its production were also a focus of attention. Therefore, a 3^2 level full-factorial design was used to determine the effect of pH and dissolved oxygen concentration (DO) on the production of gama-decalactone and 3-hydroxy-gama-decalactone. Since both factors were found to influence the two lactones production, a response surface methodology (RSM) analysis was also applied to identify the optimal conditions for the production of those two compounds. The statistical model pointed out pH = 6.17 and DO = 44.4% as the best conditions optimizing gama-decalactone production. Using these optimalconditions, the maximal gama-decalactone concentration achieved was 680.9 mg/L, which was quite similar to the predicted value of 718.7 mg gama-decalactone per liter. Among the range of operating conditions tested, no optimization was possible for 3-hydroxy-gama-decalactone production, since all possible solutions corresponded to operating conditions not analyzed.
publishDate 2011
dc.date.none.fl_str_mv 2011
2011-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/16847
url http://hdl.handle.net/1822/16847
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10.1039/c0cy00017e
http://dx.doi.org/10.1039/c0cy00017e
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dc.publisher.none.fl_str_mv Royal Society of Chemistry
publisher.none.fl_str_mv Royal Society of Chemistry
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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