Artículo
Untargeted metabolomics profiling of purple rice phenolics and their antioxidant activities
Li, Xianbao; Li, Binxu; Podio, Natalia Soledad
; Wang, Xiao Yin; Jiang, Suhang; Xu, Shuyan; Qiu, Xuemei; Zeng, Zheng; Gong, Wei; Wang, Shirui; Gong, Er Sheng

Fecha de publicación:
12/2024
Editorial:
Elsevier Science
Revista:
LWT - Food Science and Technology
ISSN:
0023-6438
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
Phenolics in three purple rice varieties were qualitatively and quantitatively analyzed using untargeted metabolomics, and their antioxidant activities were also investigated. Jixuenuo showed the highest antioxidant activity and phenolic content among the three varieties. Ninety-three phenolics across four categories (flavonoids, phenolic acids, stilbenes, and lignans) were identified, with Jixuenuo showing the highest anthocyanin content. Cyanidin-3-O-glucoside (C3G) accounted for over 90% of total anthocyanin content. The volcano plot analysis identified 53 differential phenolics, 22 of which were classified as major. KEGG pathway analysis revealed significant enrichment in flavonoids biosynthesis pathways. Jixuenuo showed significantly enhanced biosynthesis in the pathways for cyanidin, dihydromyricetin, epicatechin, C3G, myricetin, and rutin. Correlation analysis indicated that these flavonoids were significantly positively correlated with antioxidant activity and total phenolic content. These findings suggest that specific flavonoids in Jixuenuo may serve as markers for evaluating the antioxidant potential of purple rice.
Palabras clave:
Purple rice
,
Phenolics
,
Untargeted metabolomics
,
Antioxidant activity
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Articulos(ICYTAC)
Articulos de INST. DE CIENCIA Y TECNOLOGIA DE ALIMENTOS CORDOBA
Articulos de INST. DE CIENCIA Y TECNOLOGIA DE ALIMENTOS CORDOBA
Citación
Li, Xianbao; Li, Binxu; Podio, Natalia Soledad; Wang, Xiao Yin; Jiang, Suhang; et al.; Untargeted metabolomics profiling of purple rice phenolics and their antioxidant activities; Elsevier Science; LWT - Food Science and Technology; 214; 117127; 12-2024; 1-11
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