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Determination of Carbohydrate Composition in Lentils Using Near-Infrared Spectroscopy

2024Artigo científico Acesso aberto
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dc.contributor.authorLópez-Calabozo, Rocío
dc.contributor.authorLiberal, Ângela
dc.contributor.authorFernandes, Ângela
dc.contributor.authorRevilla, Isabel
dc.contributor.authorFerreira, Isabel C.F.R.
dc.contributor.authorBarros, Lillian
dc.contributor.authorVivar-Quintana, Ana Maria
dc.date.accessioned2024-07-31T14:44:13Z
dc.date.available2024-07-31T14:44:13Z
dc.date.issued2024
dc.description.abstractCarbohydrates 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.pt_PT
dc.description.sponsorshipThis 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).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationLópez-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. 1-17pt_PT
dc.identifier.doi10.3390/s24134232pt_PT
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10198/30142
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherMDPIpt_PT
dc.relationMountain Research Center - UIDB/00690/2020
dc.relationMountain Research Center - UIDP/00690/2020
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions - LA/P/0007/2020
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectCarbohydratespt_PT
dc.subjectFibrept_PT
dc.subjectLentilpt_PT
dc.subjectNIRpt_PT
dc.subjectStarchpt_PT
dc.subjectSugarspt_PT
dc.titleDetermination of Carbohydrate Composition in Lentils Using Near-Infrared Spectroscopypt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberUIDB/00690/2020
oaire.awardNumberUIDP/00690/2020
oaire.awardNumberLA/P/0007/2020
oaire.awardTitleMountain Research Center - UIDB/00690/2020
oaire.awardTitleMountain Research Center - UIDP/00690/2020
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions - LA/P/0007/2020
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F00690%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT
oaire.citation.endPage17pt_PT
oaire.citation.issue13pt_PT
oaire.citation.startPage1pt_PT
oaire.citation.titleSensorspt_PT
oaire.citation.volume24pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameLiberal
person.familyNameFernandes
person.familyNameFerreira
person.familyNameBarros
person.givenNameÂngela
person.givenNameÂngela
person.givenNameIsabel C.F.R.
person.givenNameLillian
person.identifier144781
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person.identifier.ciencia-id2015-0434-AE7C
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person.identifier.ciencia-id9616-35CB-D001
person.identifier.orcid0000-0002-9764-4894
person.identifier.orcid0000-0002-0157-9873
person.identifier.orcid0000-0003-4910-4882
person.identifier.orcid0000-0002-9050-5189
person.identifier.ridE-8500-2013
person.identifier.ridJ-3600-2013
person.identifier.scopus-author-id36868826600
person.identifier.scopus-author-id35236343600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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