Prediction of Mineral Composition in Wheat Flours Fortified with Lentil Flour Using NIR Technology

[EN] Lentil flour is an important source of minerals, including iron, so its use in food fortification programs is becoming increasingly important. In this study, the potential of near infrared technology to discriminate the presence of lentil flour in fortified wheat flours and the quantification o...

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Detalles Bibliográficos
Autores: Martínez-Martín, Iván, Hernández-Jiménez, Miriam, Revilla Martín, Isabel, Vivar Quintana, Ana María
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Universidad de Salamanca (USAL)
Repositorio:GREDOS. Repositorio Institucional de la Universidad de Salamanca
OAI Identifier:oai:gredos.usal.es:10366/160585
Acceso en línea:http://hdl.handle.net/10366/160585
Access Level:acceso abierto
Palabra clave:Near Infrared Spectroscopy (NIR)
Lentil flour
Minerals
Fortified flour
Espectroscopía de infrarrojo cercano (NIR)
Harina de lenteja
Harina fortificada
2209.21 Espectroscopia
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repository_id_str
spelling Prediction of Mineral Composition in Wheat Flours Fortified with Lentil Flour Using NIR TechnologyMartínez-Martín, IvánHernández-Jiménez, MiriamRevilla Martín, IsabelVivar Quintana, Ana MaríaNear Infrared Spectroscopy (NIR)Lentil flourMineralsFortified flourEspectroscopía de infrarrojo cercano (NIR)Harina de lentejaHarina fortificada2209.21 Espectroscopia[EN] Lentil flour is an important source of minerals, including iron, so its use in food fortification programs is becoming increasingly important. In this study, the potential of near infrared technology to discriminate the presence of lentil flour in fortified wheat flours and the quantification of their mineral composition is evaluated. Three varieties of lentils (Castellana, Pardina and Guareña) were used to produce flours, and a total of 153 samples of wheat flours fortified with them have been analyzed. The results show that it is possible to discriminate fortified flours with 100% efficiency according to their lentil flour content and to discriminate them according to the variety of lentil flour used. Regarding their mineral composition, the models developed have shown that it is possible to predict the Ca, Mg, Fe, K and P content in fortified flours using near infrared spectroscopy. Moreover, these models can be applied to unknown samples with results comparable to ICP-MS determination of these minerals.MDPI202420242023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10366/160585reponame:GREDOS. Repositorio Institucional de la Universidad de Salamancainstname:Universidad de Salamanca (USAL)InglésPC-TCUE18-20P_002info:eu-repo/semantics/openAccessoai:gredos.usal.es:10366/1605852026-06-07T06:28:51Z
dc.title.none.fl_str_mv Prediction of Mineral Composition in Wheat Flours Fortified with Lentil Flour Using NIR Technology
title Prediction of Mineral Composition in Wheat Flours Fortified with Lentil Flour Using NIR Technology
spellingShingle Prediction of Mineral Composition in Wheat Flours Fortified with Lentil Flour Using NIR Technology
Martínez-Martín, Iván
Near Infrared Spectroscopy (NIR)
Lentil flour
Minerals
Fortified flour
Espectroscopía de infrarrojo cercano (NIR)
Harina de lenteja
Harina fortificada
2209.21 Espectroscopia
title_short Prediction of Mineral Composition in Wheat Flours Fortified with Lentil Flour Using NIR Technology
title_full Prediction of Mineral Composition in Wheat Flours Fortified with Lentil Flour Using NIR Technology
title_fullStr Prediction of Mineral Composition in Wheat Flours Fortified with Lentil Flour Using NIR Technology
title_full_unstemmed Prediction of Mineral Composition in Wheat Flours Fortified with Lentil Flour Using NIR Technology
title_sort Prediction of Mineral Composition in Wheat Flours Fortified with Lentil Flour Using NIR Technology
dc.creator.none.fl_str_mv Martínez-Martín, Iván
Hernández-Jiménez, Miriam
Revilla Martín, Isabel
Vivar Quintana, Ana María
author Martínez-Martín, Iván
author_facet Martínez-Martín, Iván
Hernández-Jiménez, Miriam
Revilla Martín, Isabel
Vivar Quintana, Ana María
author_role author
author2 Hernández-Jiménez, Miriam
Revilla Martín, Isabel
Vivar Quintana, Ana María
author2_role author
author
author
dc.subject.none.fl_str_mv Near Infrared Spectroscopy (NIR)
Lentil flour
Minerals
Fortified flour
Espectroscopía de infrarrojo cercano (NIR)
Harina de lenteja
Harina fortificada
2209.21 Espectroscopia
topic Near Infrared Spectroscopy (NIR)
Lentil flour
Minerals
Fortified flour
Espectroscopía de infrarrojo cercano (NIR)
Harina de lenteja
Harina fortificada
2209.21 Espectroscopia
description [EN] Lentil flour is an important source of minerals, including iron, so its use in food fortification programs is becoming increasingly important. In this study, the potential of near infrared technology to discriminate the presence of lentil flour in fortified wheat flours and the quantification of their mineral composition is evaluated. Three varieties of lentils (Castellana, Pardina and Guareña) were used to produce flours, and a total of 153 samples of wheat flours fortified with them have been analyzed. The results show that it is possible to discriminate fortified flours with 100% efficiency according to their lentil flour content and to discriminate them according to the variety of lentil flour used. Regarding their mineral composition, the models developed have shown that it is possible to predict the Ca, Mg, Fe, K and P content in fortified flours using near infrared spectroscopy. Moreover, these models can be applied to unknown samples with results comparable to ICP-MS determination of these minerals.
publishDate 2023
dc.date.none.fl_str_mv 2023
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10366/160585
url http://hdl.handle.net/10366/160585
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv PC-TCUE18-20P_002
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:GREDOS. Repositorio Institucional de la Universidad de Salamanca
instname:Universidad de Salamanca (USAL)
instname_str Universidad de Salamanca (USAL)
reponame_str GREDOS. Repositorio Institucional de la Universidad de Salamanca
collection GREDOS. Repositorio Institucional de la Universidad de Salamanca
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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