Determination of Carbohydrate Composition in Lentils Using Near-Infrared Spectroscopy
Autor(a) principal: | |
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Data de Publicação: | 2024 |
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/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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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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1817548567878828032 |