Flavonoid and Antioxidant Capacity of Propolis Prediction Using Near Infrared Spectroscopy

[EN] The use of propolis as a dietary supplement or as an ingredient in different food products is increasing, due to its antioxidant and bactericidal properties. These nutritional properties directly depend on its phenolic composition. For this reason, this study analysed the total contents of flav...

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Detalles Bibliográficos
Autores: Betances-Salcedo, Eddy, Revilla Martín, Isabel, Vivar Quintana, Ana María, González Martín, María Inmaculada
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:España
Institución:Universidad de Salamanca (USAL)
Repositorio:GREDOS. Repositorio Institucional de la Universidad de Salamanca
OAI Identifier:oai:gredos.usal.es:10366/146412
Acceso en línea:http://hdl.handle.net/10366/146412
Access Level:acceso abierto
Palabra clave:Propolis
Antioxidant capacity
Flavonoids
NIR spectroscopy
2301 Química Analítica
3206 Ciencias de la Nutrición
própolis
flavonoides
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spelling Flavonoid and Antioxidant Capacity of Propolis Prediction Using Near Infrared SpectroscopyBetances-Salcedo, EddyRevilla Martín, IsabelVivar Quintana, Ana MaríaGonzález Martín, María InmaculadaPropolisAntioxidant capacityFlavonoidsNIR spectroscopyPropolisFlavonoids2301 Química Analítica3206 Ciencias de la Nutriciónprópolisflavonoides[EN] The use of propolis as a dietary supplement or as an ingredient in different food products is increasing, due to its antioxidant and bactericidal properties. These nutritional properties directly depend on its phenolic composition. For this reason, this study analysed the total contents of flavones and flavonols, flavanones and dihydroflavonols, and the antioxidant capacity by using the methods of ABTS and linoleic acid/β-carotene in 99 samples of propolis from Spain and Chile. A rapid method was developed for quantifying these parameters in raw propolis using near infrared (NIR) spectroscopy with a remote reflectance fibre-optic probe applied directly to the ground-up sample. The models developed allow for the determination of the total flavones and flavonols (0–183 mg quercetin/g propolis and 0–72 mg rutin/g propolis), of the total flavanones and dihydroflavonols (9–109 mg pinocembrin/g propolis extract), and of its antioxidant capacity by the ABTS method based on the reduction of the 2.2-azinobis(3-ethylbenzothiazoline-6-sulfonic acid) radical cation(0–3212.6 nmol Trolox/mg of propolis) and of linoleic acid/β-carotene (22–86% inhibition). The NIR spectroscopy models were applied in external validation to different samples of the calibration group, which led to the conclusion that the methods developed provide significantly identical data to the initial chemical data of reference.Sensors202120212017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10366/146412reponame:GREDOS. Repositorio Institucional de la Universidad de Salamancainstname:Universidad de Salamanca (USAL)InglésAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:gredos.usal.es:10366/1464122026-06-07T06:28:51Z
dc.title.none.fl_str_mv Flavonoid and Antioxidant Capacity of Propolis Prediction Using Near Infrared Spectroscopy
title Flavonoid and Antioxidant Capacity of Propolis Prediction Using Near Infrared Spectroscopy
spellingShingle Flavonoid and Antioxidant Capacity of Propolis Prediction Using Near Infrared Spectroscopy
Betances-Salcedo, Eddy
Propolis
Antioxidant capacity
Flavonoids
NIR spectroscopy
Propolis
Flavonoids
2301 Química Analítica
3206 Ciencias de la Nutrición
própolis
flavonoides
title_short Flavonoid and Antioxidant Capacity of Propolis Prediction Using Near Infrared Spectroscopy
title_full Flavonoid and Antioxidant Capacity of Propolis Prediction Using Near Infrared Spectroscopy
title_fullStr Flavonoid and Antioxidant Capacity of Propolis Prediction Using Near Infrared Spectroscopy
title_full_unstemmed Flavonoid and Antioxidant Capacity of Propolis Prediction Using Near Infrared Spectroscopy
title_sort Flavonoid and Antioxidant Capacity of Propolis Prediction Using Near Infrared Spectroscopy
dc.creator.none.fl_str_mv Betances-Salcedo, Eddy
Revilla Martín, Isabel
Vivar Quintana, Ana María
González Martín, María Inmaculada
author Betances-Salcedo, Eddy
author_facet Betances-Salcedo, Eddy
Revilla Martín, Isabel
Vivar Quintana, Ana María
González Martín, María Inmaculada
author_role author
author2 Revilla Martín, Isabel
Vivar Quintana, Ana María
González Martín, María Inmaculada
author2_role author
author
author
dc.subject.none.fl_str_mv Propolis
Antioxidant capacity
Flavonoids
NIR spectroscopy
Propolis
Flavonoids
2301 Química Analítica
3206 Ciencias de la Nutrición
própolis
flavonoides
topic Propolis
Antioxidant capacity
Flavonoids
NIR spectroscopy
Propolis
Flavonoids
2301 Química Analítica
3206 Ciencias de la Nutrición
própolis
flavonoides
description [EN] The use of propolis as a dietary supplement or as an ingredient in different food products is increasing, due to its antioxidant and bactericidal properties. These nutritional properties directly depend on its phenolic composition. For this reason, this study analysed the total contents of flavones and flavonols, flavanones and dihydroflavonols, and the antioxidant capacity by using the methods of ABTS and linoleic acid/β-carotene in 99 samples of propolis from Spain and Chile. A rapid method was developed for quantifying these parameters in raw propolis using near infrared (NIR) spectroscopy with a remote reflectance fibre-optic probe applied directly to the ground-up sample. The models developed allow for the determination of the total flavones and flavonols (0–183 mg quercetin/g propolis and 0–72 mg rutin/g propolis), of the total flavanones and dihydroflavonols (9–109 mg pinocembrin/g propolis extract), and of its antioxidant capacity by the ABTS method based on the reduction of the 2.2-azinobis(3-ethylbenzothiazoline-6-sulfonic acid) radical cation(0–3212.6 nmol Trolox/mg of propolis) and of linoleic acid/β-carotene (22–86% inhibition). The NIR spectroscopy models were applied in external validation to different samples of the calibration group, which led to the conclusion that the methods developed provide significantly identical data to the initial chemical data of reference.
publishDate 2017
dc.date.none.fl_str_mv 2017
2021
2021
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/10366/146412
url http://hdl.handle.net/10366/146412
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Sensors
publisher.none.fl_str_mv Sensors
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 15,301603

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