Quantification of Chemical Characteristics of Olive Fruit and Oil of cv Cobrançosa in Two Ripening Stages Using MIR Spectroscopy and Chemometrics
Autor(a) principal: | |
---|---|
Data de Publicação: | 2014 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://repositorio.inesctec.pt/handle/123456789/7306 http://dx.doi.org/10.1007/s12161-014-0017-2 |
Resumo: | The phenolic compound concentration of olives and olive oil is typically quantified using HPLC; however, this process is expensive and time consuming. The purpose of this work was to evaluate the potential of Fourier transform infrared (FTIR) spectroscopy combined with chemometrics, as a rapid tool for the quantitative prediction of phenol content and antioxidant activity in olive fruits and oils from “Cobrançosa” cultivar. Normalized spectral data using standard normal variate (SNV) and first and second Savitzky–Golay derivatives were used to build calibration models based on principal component regression (PCR) and on partial least squares regression (PLS-R), the performance of both models have been also compared. It was shown the possibility of establishing optimized regression models using the combined frequency regions of 3050–2750 and 1800–790 cm-1 instead of the full mid-infrared spectrum was shown. It was concluded that, in general, the first derivative of data and PLS-R models offered enhanced results. Low root-mean-square error (RMSE) and high correlation coefficients (R2) for the calibration and for the validation sets were obtained. |
id |
RCAP_dae3efc678f3978da066e70cff88e99a |
---|---|
oai_identifier_str |
oai:repositorio.inesctec.pt:123456789/7306 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Quantification of Chemical Characteristics of Olive Fruit and Oil of cv Cobrançosa in Two Ripening Stages Using MIR Spectroscopy and ChemometricsThe phenolic compound concentration of olives and olive oil is typically quantified using HPLC; however, this process is expensive and time consuming. The purpose of this work was to evaluate the potential of Fourier transform infrared (FTIR) spectroscopy combined with chemometrics, as a rapid tool for the quantitative prediction of phenol content and antioxidant activity in olive fruits and oils from “Cobrançosa” cultivar. Normalized spectral data using standard normal variate (SNV) and first and second Savitzky–Golay derivatives were used to build calibration models based on principal component regression (PCR) and on partial least squares regression (PLS-R), the performance of both models have been also compared. It was shown the possibility of establishing optimized regression models using the combined frequency regions of 3050–2750 and 1800–790 cm-1 instead of the full mid-infrared spectrum was shown. It was concluded that, in general, the first derivative of data and PLS-R models offered enhanced results. Low root-mean-square error (RMSE) and high correlation coefficients (R2) for the calibration and for the validation sets were obtained.2018-01-23T15:14:08Z2014-01-01T00:00:00Z2014info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://repositorio.inesctec.pt/handle/123456789/7306http://dx.doi.org/10.1007/s12161-014-0017-2engMachado,MMachado,NGouvinhas,ICunha,MJosé AlmeidaBarros,AIRNAinfo: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:RCAAP2023-05-15T10:20:46Zoai:repositorio.inesctec.pt:123456789/7306Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:53:35.884576Repositório 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 |
Quantification of Chemical Characteristics of Olive Fruit and Oil of cv Cobrançosa in Two Ripening Stages Using MIR Spectroscopy and Chemometrics |
title |
Quantification of Chemical Characteristics of Olive Fruit and Oil of cv Cobrançosa in Two Ripening Stages Using MIR Spectroscopy and Chemometrics |
spellingShingle |
Quantification of Chemical Characteristics of Olive Fruit and Oil of cv Cobrançosa in Two Ripening Stages Using MIR Spectroscopy and Chemometrics Machado,M |
title_short |
Quantification of Chemical Characteristics of Olive Fruit and Oil of cv Cobrançosa in Two Ripening Stages Using MIR Spectroscopy and Chemometrics |
title_full |
Quantification of Chemical Characteristics of Olive Fruit and Oil of cv Cobrançosa in Two Ripening Stages Using MIR Spectroscopy and Chemometrics |
title_fullStr |
Quantification of Chemical Characteristics of Olive Fruit and Oil of cv Cobrançosa in Two Ripening Stages Using MIR Spectroscopy and Chemometrics |
title_full_unstemmed |
Quantification of Chemical Characteristics of Olive Fruit and Oil of cv Cobrançosa in Two Ripening Stages Using MIR Spectroscopy and Chemometrics |
title_sort |
Quantification of Chemical Characteristics of Olive Fruit and Oil of cv Cobrançosa in Two Ripening Stages Using MIR Spectroscopy and Chemometrics |
author |
Machado,M |
author_facet |
Machado,M Machado,N Gouvinhas,I Cunha,M José Almeida Barros,AIRNA |
author_role |
author |
author2 |
Machado,N Gouvinhas,I Cunha,M José Almeida Barros,AIRNA |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Machado,M Machado,N Gouvinhas,I Cunha,M José Almeida Barros,AIRNA |
description |
The phenolic compound concentration of olives and olive oil is typically quantified using HPLC; however, this process is expensive and time consuming. The purpose of this work was to evaluate the potential of Fourier transform infrared (FTIR) spectroscopy combined with chemometrics, as a rapid tool for the quantitative prediction of phenol content and antioxidant activity in olive fruits and oils from “Cobrançosa” cultivar. Normalized spectral data using standard normal variate (SNV) and first and second Savitzky–Golay derivatives were used to build calibration models based on principal component regression (PCR) and on partial least squares regression (PLS-R), the performance of both models have been also compared. It was shown the possibility of establishing optimized regression models using the combined frequency regions of 3050–2750 and 1800–790 cm-1 instead of the full mid-infrared spectrum was shown. It was concluded that, in general, the first derivative of data and PLS-R models offered enhanced results. Low root-mean-square error (RMSE) and high correlation coefficients (R2) for the calibration and for the validation sets were obtained. |
publishDate |
2014 |
dc.date.none.fl_str_mv |
2014-01-01T00:00:00Z 2014 2018-01-23T15:14:08Z |
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://repositorio.inesctec.pt/handle/123456789/7306 http://dx.doi.org/10.1007/s12161-014-0017-2 |
url |
http://repositorio.inesctec.pt/handle/123456789/7306 http://dx.doi.org/10.1007/s12161-014-0017-2 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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.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 |
repository.mail.fl_str_mv |
|
_version_ |
1799131609811648512 |