Empirical modelling as an experimental approach to optimize lactone production
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , |
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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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 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/16847 |
url |
http://hdl.handle.net/1822/16847 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2044-4753 10.1039/c0cy00017e http://dx.doi.org/10.1039/c0cy00017e |
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info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Royal Society of Chemistry |
publisher.none.fl_str_mv |
Royal Society of Chemistry |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799132718828617728 |