FT-NIR spectroscopy analysis for monitoring the microbial production of 2-phenylethanol using crude glycerol as carbon source

Detalhes bibliográficos
Autor(a) principal: Quintelas, Cristina Maria Catalão
Data de Publicação: 2022
Outros Autores: Braga, Adelaide Correia, Cordeiro, Ana, Ferreira, Eugénio C., Belo, Isabel, Páscoa, R. N. M. J.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/1822/75178
Resumo: The valorization of glycerol wastes through its conversion into high-added value products using biotechnological processes is very promising due to the high amount of glycerol generated from the bio-diesel industry. In this sense, it is important to develop rapid, reliable and, if possible, environmentally friendly analytical techniques for the monitoring of high-added value compounds. With this in mind, Fourier transform near infrared (FT-NIR) spectroscopy was explored for the assessment of biomass, glycerol, l-phenylalanine and 2-phenylethanol (2-PE) parameters during the biotechnological production of 2-PE. A total of 80 samples were collected and analyzed through FT-NIR spectroscopy. Partial least squares (PLS) regression method was selected for establishing quantification models. The obtained figures of merit, in terms of, coefficients of determination of prediction (R2P), range error-ratios (RER) and residual predictive deviation (RPD) yielded values higher than 0.85, 7.7 and 2.6, respectively, for all the parameters assessed. The obtained results reveal that all the developed PLS models can be considered as models with a good predictive accuracy and therefore attest the suitability of FT-NIR spectroscopy for the quantification of these parameters. Concluding, a new rapid, reliable, cost-effective, accurate, multi-parametric and environmentally friendly analytical technique exploring the potential of FT-NIR spectroscopy was successfully developed.
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spelling FT-NIR spectroscopy analysis for monitoring the microbial production of 2-phenylethanol using crude glycerol as carbon sourceBiomassFragrance compoundsFT-NIR spectroscopyGlycerolPLSScience & TechnologyThe valorization of glycerol wastes through its conversion into high-added value products using biotechnological processes is very promising due to the high amount of glycerol generated from the bio-diesel industry. In this sense, it is important to develop rapid, reliable and, if possible, environmentally friendly analytical techniques for the monitoring of high-added value compounds. With this in mind, Fourier transform near infrared (FT-NIR) spectroscopy was explored for the assessment of biomass, glycerol, l-phenylalanine and 2-phenylethanol (2-PE) parameters during the biotechnological production of 2-PE. A total of 80 samples were collected and analyzed through FT-NIR spectroscopy. Partial least squares (PLS) regression method was selected for establishing quantification models. The obtained figures of merit, in terms of, coefficients of determination of prediction (R2P), range error-ratios (RER) and residual predictive deviation (RPD) yielded values higher than 0.85, 7.7 and 2.6, respectively, for all the parameters assessed. The obtained results reveal that all the developed PLS models can be considered as models with a good predictive accuracy and therefore attest the suitability of FT-NIR spectroscopy for the quantification of these parameters. Concluding, a new rapid, reliable, cost-effective, accurate, multi-parametric and environmentally friendly analytical technique exploring the potential of FT-NIR spectroscopy was successfully developed.The authors thank the Portuguese Foundation for Science and Technology (FCT) under the scope of the strategic fundings of UIDB/ BIO/04469/2020 and UIDB/QUI/50006/2020 units. Ricardo N.M.J. Páscoa and Cristina Quintelas thanks FCT for funding through program DL 57/2016 – Norma transitória. The authors also want to express their gratitude to Prio Energy – Prio Biocombustíveis, SA for providing the glycerol used in this experimental work.info:eu-repo/semantics/publishedVersionElsevierUniversidade do MinhoQuintelas, Cristina Maria CatalãoBraga, Adelaide CorreiaCordeiro, AnaFerreira, Eugénio C.Belo, IsabelPáscoa, R. N. M. J.2022-022022-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/75178engQuintelas, Cristina; Braga, Adelaide; Cordeiro, A.; Ferreira, Eugénio C.; Belo, Isabel; Páscoa, R. N. M. J., FT-NIR spectroscopy analysis for monitoring the microbial production of 2-phenylethanol using crude glycerol as carbon source. LWT-Food Science and Technology, 155(112951), 20220023-643810.1016/j.lwt.2021.112951https://www.journals.elsevier.com/lwtinfo: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:RCAAP2023-07-21T12:47:14Zoai:repositorium.sdum.uminho.pt:1822/75178Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:45:20.016470Repositório 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 FT-NIR spectroscopy analysis for monitoring the microbial production of 2-phenylethanol using crude glycerol as carbon source
title FT-NIR spectroscopy analysis for monitoring the microbial production of 2-phenylethanol using crude glycerol as carbon source
spellingShingle FT-NIR spectroscopy analysis for monitoring the microbial production of 2-phenylethanol using crude glycerol as carbon source
Quintelas, Cristina Maria Catalão
Biomass
Fragrance compounds
FT-NIR spectroscopy
Glycerol
PLS
Science & Technology
title_short FT-NIR spectroscopy analysis for monitoring the microbial production of 2-phenylethanol using crude glycerol as carbon source
title_full FT-NIR spectroscopy analysis for monitoring the microbial production of 2-phenylethanol using crude glycerol as carbon source
title_fullStr FT-NIR spectroscopy analysis for monitoring the microbial production of 2-phenylethanol using crude glycerol as carbon source
title_full_unstemmed FT-NIR spectroscopy analysis for monitoring the microbial production of 2-phenylethanol using crude glycerol as carbon source
title_sort FT-NIR spectroscopy analysis for monitoring the microbial production of 2-phenylethanol using crude glycerol as carbon source
author Quintelas, Cristina Maria Catalão
author_facet Quintelas, Cristina Maria Catalão
Braga, Adelaide Correia
Cordeiro, Ana
Ferreira, Eugénio C.
Belo, Isabel
Páscoa, R. N. M. J.
author_role author
author2 Braga, Adelaide Correia
Cordeiro, Ana
Ferreira, Eugénio C.
Belo, Isabel
Páscoa, R. N. M. J.
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Quintelas, Cristina Maria Catalão
Braga, Adelaide Correia
Cordeiro, Ana
Ferreira, Eugénio C.
Belo, Isabel
Páscoa, R. N. M. J.
dc.subject.por.fl_str_mv Biomass
Fragrance compounds
FT-NIR spectroscopy
Glycerol
PLS
Science & Technology
topic Biomass
Fragrance compounds
FT-NIR spectroscopy
Glycerol
PLS
Science & Technology
description The valorization of glycerol wastes through its conversion into high-added value products using biotechnological processes is very promising due to the high amount of glycerol generated from the bio-diesel industry. In this sense, it is important to develop rapid, reliable and, if possible, environmentally friendly analytical techniques for the monitoring of high-added value compounds. With this in mind, Fourier transform near infrared (FT-NIR) spectroscopy was explored for the assessment of biomass, glycerol, l-phenylalanine and 2-phenylethanol (2-PE) parameters during the biotechnological production of 2-PE. A total of 80 samples were collected and analyzed through FT-NIR spectroscopy. Partial least squares (PLS) regression method was selected for establishing quantification models. The obtained figures of merit, in terms of, coefficients of determination of prediction (R2P), range error-ratios (RER) and residual predictive deviation (RPD) yielded values higher than 0.85, 7.7 and 2.6, respectively, for all the parameters assessed. The obtained results reveal that all the developed PLS models can be considered as models with a good predictive accuracy and therefore attest the suitability of FT-NIR spectroscopy for the quantification of these parameters. Concluding, a new rapid, reliable, cost-effective, accurate, multi-parametric and environmentally friendly analytical technique exploring the potential of FT-NIR spectroscopy was successfully developed.
publishDate 2022
dc.date.none.fl_str_mv 2022-02
2022-02-01T00:00:00Z
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/1822/75178
url http://hdl.handle.net/1822/75178
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Quintelas, Cristina; Braga, Adelaide; Cordeiro, A.; Ferreira, Eugénio C.; Belo, Isabel; Páscoa, R. N. M. J., FT-NIR spectroscopy analysis for monitoring the microbial production of 2-phenylethanol using crude glycerol as carbon source. LWT-Food Science and Technology, 155(112951), 2022
0023-6438
10.1016/j.lwt.2021.112951
https://www.journals.elsevier.com/lwt
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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