FT-NIR spectroscopy analysis for monitoring the microbial production of 2-phenylethanol using crude glycerol as carbon source
Autor(a) principal: | |
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Data de Publicação: | 2022 |
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/1822/75178 |
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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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:RCAAP2024-05-11T07:14:29Zoai:repositorium.sdum.uminho.pt:1822/75178Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-11T07:14:29Repositório 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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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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 |
repository.mail.fl_str_mv |
mluisa.alvim@gmail.com |
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1817545249578287104 |