Determination of Carbohydrate Composition in Lentils Using Near-Infrared Spectroscopy

Detalhes bibliográficos
Autor(a) principal: López-Calabozo, Rocío
Data de Publicação: 2024
Outros Autores: Liberal, Ângela, Fernandes, Ângela, Revilla, Isabel, Ferreira, Isabel C.F.R., Barros, Lillian, Vivar-Quintana, Ana Maria
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10198/30142
Resumo: Carbohydrates are the main components of lentils, accounting for more than 60% of their composition. Their content is influenced by genetic factors, with different contents depending on the variety. These compounds have not only been linked to interesting health benefits, but they also have a significant influence on the techno-functional properties of lentil-derived products. In this study, the use of near-infrared spectroscopy (NIRS) to predict the concentration of total carbohydrate, fibre, starch, total sugars, fructose, sucrose and raffinose was investigated. For this purpose, six different cultivars of macrosperm (n = 37) and microsperm (n = 43) lentils have been analysed, the samples were recorded whole and ground and the suitability of both recording methods were compared. Different spectral and mathematical pre-treatments were evaluated before developing the calibration models using the Modified Partial Least Squares regression method, with a cross-validation and an external validation. The predictive models developed show excellent coefficients of determination (RSQ > 0.9) for the total sugars and fructose, sucrose, and raffinose. The recording of ground samples allowed for obtaining better models for the calibration of starch content (R > 0.8), total sugars and sucrose (R > 0.93), and raffinose (R > 0.91). The results obtained confirm that there is sufficient information in the NIRS spectral region for the development of predictive models for the quantification of the carbohydrate content in lentils.
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spelling Determination of Carbohydrate Composition in Lentils Using Near-Infrared SpectroscopyCarbohydratesFibreLentilNIRStarchSugarsCarbohydrates are the main components of lentils, accounting for more than 60% of their composition. Their content is influenced by genetic factors, with different contents depending on the variety. These compounds have not only been linked to interesting health benefits, but they also have a significant influence on the techno-functional properties of lentil-derived products. In this study, the use of near-infrared spectroscopy (NIRS) to predict the concentration of total carbohydrate, fibre, starch, total sugars, fructose, sucrose and raffinose was investigated. For this purpose, six different cultivars of macrosperm (n = 37) and microsperm (n = 43) lentils have been analysed, the samples were recorded whole and ground and the suitability of both recording methods were compared. Different spectral and mathematical pre-treatments were evaluated before developing the calibration models using the Modified Partial Least Squares regression method, with a cross-validation and an external validation. The predictive models developed show excellent coefficients of determination (RSQ > 0.9) for the total sugars and fructose, sucrose, and raffinose. The recording of ground samples allowed for obtaining better models for the calibration of starch content (R > 0.8), total sugars and sucrose (R > 0.93), and raffinose (R > 0.91). The results obtained confirm that there is sufficient information in the NIRS spectral region for the development of predictive models for the quantification of the carbohydrate content in lentils.This work was supported by national funds through FCT/MCTES (PIDDAC): CIMO, UIDB/00690/2020 (DOI:10.54499/UIDB/00690/2020) and UIDP/00690/2020 (DOI:10.54499/UIDP/ 00690/2020); and SusTEC, LA/P/0007/2020 (DOI:10.54499/LA/P/0007/2020).MDPIBiblioteca Digital do IPBLópez-Calabozo, RocíoLiberal, ÂngelaFernandes, ÂngelaRevilla, IsabelFerreira, Isabel C.F.R.Barros, LillianVivar-Quintana, Ana Maria2024-07-31T14:44:13Z20242024-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/30142engLópez-Calabozo, Rocío; Liberal, Ângela; Fernandes, Ângela; Revilla, Isabel; Ferreira, Isabel C.F.R.; Barros, Lillian; Vivar-Quintana, Ana M. (2024). Determination of Carbohydrate Composition in Lentils Using Near-Infrared Spectroscopy. Sensors. ISSN 1424-8220. 24:13, p. 1-171424-822010.3390/s24134232info: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:RCAAP2024-10-09T01:17:44Zoai:bibliotecadigital.ipb.pt:10198/30142Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-10-09T01:17:44Repositório 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 Determination of Carbohydrate Composition in Lentils Using Near-Infrared Spectroscopy
title Determination of Carbohydrate Composition in Lentils Using Near-Infrared Spectroscopy
spellingShingle Determination of Carbohydrate Composition in Lentils Using Near-Infrared Spectroscopy
López-Calabozo, Rocío
Carbohydrates
Fibre
Lentil
NIR
Starch
Sugars
title_short Determination of Carbohydrate Composition in Lentils Using Near-Infrared Spectroscopy
title_full Determination of Carbohydrate Composition in Lentils Using Near-Infrared Spectroscopy
title_fullStr Determination of Carbohydrate Composition in Lentils Using Near-Infrared Spectroscopy
title_full_unstemmed Determination of Carbohydrate Composition in Lentils Using Near-Infrared Spectroscopy
title_sort Determination of Carbohydrate Composition in Lentils Using Near-Infrared Spectroscopy
author López-Calabozo, Rocío
author_facet López-Calabozo, Rocío
Liberal, Ângela
Fernandes, Ângela
Revilla, Isabel
Ferreira, Isabel C.F.R.
Barros, Lillian
Vivar-Quintana, Ana Maria
author_role author
author2 Liberal, Ângela
Fernandes, Ângela
Revilla, Isabel
Ferreira, Isabel C.F.R.
Barros, Lillian
Vivar-Quintana, Ana Maria
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv López-Calabozo, Rocío
Liberal, Ângela
Fernandes, Ângela
Revilla, Isabel
Ferreira, Isabel C.F.R.
Barros, Lillian
Vivar-Quintana, Ana Maria
dc.subject.por.fl_str_mv Carbohydrates
Fibre
Lentil
NIR
Starch
Sugars
topic Carbohydrates
Fibre
Lentil
NIR
Starch
Sugars
description Carbohydrates are the main components of lentils, accounting for more than 60% of their composition. Their content is influenced by genetic factors, with different contents depending on the variety. These compounds have not only been linked to interesting health benefits, but they also have a significant influence on the techno-functional properties of lentil-derived products. In this study, the use of near-infrared spectroscopy (NIRS) to predict the concentration of total carbohydrate, fibre, starch, total sugars, fructose, sucrose and raffinose was investigated. For this purpose, six different cultivars of macrosperm (n = 37) and microsperm (n = 43) lentils have been analysed, the samples were recorded whole and ground and the suitability of both recording methods were compared. Different spectral and mathematical pre-treatments were evaluated before developing the calibration models using the Modified Partial Least Squares regression method, with a cross-validation and an external validation. The predictive models developed show excellent coefficients of determination (RSQ > 0.9) for the total sugars and fructose, sucrose, and raffinose. The recording of ground samples allowed for obtaining better models for the calibration of starch content (R > 0.8), total sugars and sucrose (R > 0.93), and raffinose (R > 0.91). The results obtained confirm that there is sufficient information in the NIRS spectral region for the development of predictive models for the quantification of the carbohydrate content in lentils.
publishDate 2024
dc.date.none.fl_str_mv 2024-07-31T14:44:13Z
2024
2024-01-01T00:00:00Z
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/10198/30142
url http://hdl.handle.net/10198/30142
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv López-Calabozo, Rocío; Liberal, Ângela; Fernandes, Ângela; Revilla, Isabel; Ferreira, Isabel C.F.R.; Barros, Lillian; Vivar-Quintana, Ana M. (2024). Determination of Carbohydrate Composition in Lentils Using Near-Infrared Spectroscopy. Sensors. ISSN 1424-8220. 24:13, p. 1-17
1424-8220
10.3390/s24134232
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 MDPI
publisher.none.fl_str_mv MDPI
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 mluisa.alvim@gmail.com
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