Multivariate analyses of a wide selection of orange varieties based on carotenoid contents, color and in vitro antioxidant capacity

Carotenoids, color and in vitro antioxidant capacity were analyzed in twenty-two genotypes of oranges produced in Spain in two consecutive seasons. The colorless carotenoids phytoene and phytofluene were also analyzed. An important influence of the genotype on the carotenoid profile was observed. In...

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Autores: Stinco Scanarotti, Carla Maria, Escudero Gilete, María Luisa, Heredia Mira, Francisco José, Vicario Romero, Isabel, Meléndez Martínez, Antonio Jesús
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2016
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/179608
Acceso en línea:https://hdl.handle.net/11441/179608
https://doi.org/10.1016/j.foodres.2016.11.005
Access Level:acceso abierto
Palabra clave:Antioxidant capacity
Carotenoids
Citrus varieties
Phytoene
Phytofluene
β-cryptoxanthin
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spelling Multivariate analyses of a wide selection of orange varieties based on carotenoid contents, color and in vitro antioxidant capacityStinco Scanarotti, Carla MariaEscudero Gilete, María LuisaHeredia Mira, Francisco JoséVicario Romero, IsabelMeléndez Martínez, Antonio JesúsAntioxidant capacityCarotenoidsCitrus varietiesPhytoenePhytoflueneβ-cryptoxanthinCarotenoids, color and in vitro antioxidant capacity were analyzed in twenty-two genotypes of oranges produced in Spain in two consecutive seasons. The colorless carotenoids phytoene and phytofluene were also analyzed. An important influence of the genotype on the carotenoid profile was observed. In most genotypes, such profile was characterized by the predominance of xanthophylls (82.7–93.0%), except in Cara Cara, with a higher proportion of carotenes (around 70.0%). β-cryptoxanthin was the predominant carotenoid in Rohde late and Ambersweet. The samples with the lowest carotenoid contents were the ones exhibiting the lowest Trolox Equivalent Antioxidant Capacity (TEAC) and vice versa. A formula obtained by multiple regression is proposed to estimate the TEAC value from the carotenoid content. No significant correlation between TEAC values and color coordinates were obtained, suggesting that color parameters are not good predictors of TEAC values. Lastly, the samples could be classify with a high rate of success (> 90%) by Linear Discriminant Analysis based on color and carotenoids.ElsevierNutrición y Bromatología, Toxicología y Medicina LegalEuropean Union (UE)Ministerio de Economía y Competitividad (MINECO). EspañaJunta de Andalucía2016info:eu-repo/semantics/articleinfo:eu-repo/semantics/acceptedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/179608https://doi.org/10.1016/j.foodres.2016.11.005reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésFood Research International, 90, 194-204.FP7-224789AGL2012-37610P11-AGR-7783https://doi.org/10.1016/j.foodres.2016.11.005info:eu-repo/semantics/openAccessoai:idus.us.es:11441/1796082026-06-17T12:51:07Z
dc.title.none.fl_str_mv Multivariate analyses of a wide selection of orange varieties based on carotenoid contents, color and in vitro antioxidant capacity
title Multivariate analyses of a wide selection of orange varieties based on carotenoid contents, color and in vitro antioxidant capacity
spellingShingle Multivariate analyses of a wide selection of orange varieties based on carotenoid contents, color and in vitro antioxidant capacity
Stinco Scanarotti, Carla Maria
Antioxidant capacity
Carotenoids
Citrus varieties
Phytoene
Phytofluene
β-cryptoxanthin
title_short Multivariate analyses of a wide selection of orange varieties based on carotenoid contents, color and in vitro antioxidant capacity
title_full Multivariate analyses of a wide selection of orange varieties based on carotenoid contents, color and in vitro antioxidant capacity
title_fullStr Multivariate analyses of a wide selection of orange varieties based on carotenoid contents, color and in vitro antioxidant capacity
title_full_unstemmed Multivariate analyses of a wide selection of orange varieties based on carotenoid contents, color and in vitro antioxidant capacity
title_sort Multivariate analyses of a wide selection of orange varieties based on carotenoid contents, color and in vitro antioxidant capacity
dc.creator.none.fl_str_mv Stinco Scanarotti, Carla Maria
Escudero Gilete, María Luisa
Heredia Mira, Francisco José
Vicario Romero, Isabel
Meléndez Martínez, Antonio Jesús
author Stinco Scanarotti, Carla Maria
author_facet Stinco Scanarotti, Carla Maria
Escudero Gilete, María Luisa
Heredia Mira, Francisco José
Vicario Romero, Isabel
Meléndez Martínez, Antonio Jesús
author_role author
author2 Escudero Gilete, María Luisa
Heredia Mira, Francisco José
Vicario Romero, Isabel
Meléndez Martínez, Antonio Jesús
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Nutrición y Bromatología, Toxicología y Medicina Legal
European Union (UE)
Ministerio de Economía y Competitividad (MINECO). España
Junta de Andalucía
dc.subject.none.fl_str_mv Antioxidant capacity
Carotenoids
Citrus varieties
Phytoene
Phytofluene
β-cryptoxanthin
topic Antioxidant capacity
Carotenoids
Citrus varieties
Phytoene
Phytofluene
β-cryptoxanthin
description Carotenoids, color and in vitro antioxidant capacity were analyzed in twenty-two genotypes of oranges produced in Spain in two consecutive seasons. The colorless carotenoids phytoene and phytofluene were also analyzed. An important influence of the genotype on the carotenoid profile was observed. In most genotypes, such profile was characterized by the predominance of xanthophylls (82.7–93.0%), except in Cara Cara, with a higher proportion of carotenes (around 70.0%). β-cryptoxanthin was the predominant carotenoid in Rohde late and Ambersweet. The samples with the lowest carotenoid contents were the ones exhibiting the lowest Trolox Equivalent Antioxidant Capacity (TEAC) and vice versa. A formula obtained by multiple regression is proposed to estimate the TEAC value from the carotenoid content. No significant correlation between TEAC values and color coordinates were obtained, suggesting that color parameters are not good predictors of TEAC values. Lastly, the samples could be classify with a high rate of success (> 90%) by Linear Discriminant Analysis based on color and carotenoids.
publishDate 2016
dc.date.none.fl_str_mv 2016
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/179608
https://doi.org/10.1016/j.foodres.2016.11.005
url https://hdl.handle.net/11441/179608
https://doi.org/10.1016/j.foodres.2016.11.005
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Food Research International, 90, 194-204.
FP7-224789
AGL2012-37610
P11-AGR-7783
https://doi.org/10.1016/j.foodres.2016.11.005
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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