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Metabolic discrimination of sea buckthorn from different Hippophaë species by (1)H NMR based metabolomics

Sea buckthorn (Hippophaë; Elaeagnaceae) berries are widely consumed in traditional folk medicines, nutraceuticals, and as a source of food. The growing demand of sea buckthorn berries and morphological similarity of Hippophaë species leads to confusions, which might cause misidentification of plants...

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Detalles Bibliográficos
Autores principales: Liu, Yue, Fan, Gang, Zhang, Jing, Zhang, Yi, Li, Jingjian, Xiong, Chao, Zhang, Qi, Li, Xiaodong, Lai, Xianrong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5431470/
https://www.ncbi.nlm.nih.gov/pubmed/28484246
http://dx.doi.org/10.1038/s41598-017-01722-3
Descripción
Sumario:Sea buckthorn (Hippophaë; Elaeagnaceae) berries are widely consumed in traditional folk medicines, nutraceuticals, and as a source of food. The growing demand of sea buckthorn berries and morphological similarity of Hippophaë species leads to confusions, which might cause misidentification of plants used in natural products. Detailed information and comparison of the complete set of metabolites of different Hippophaë species are critical for their objective identification and quality control. Herein, the variation among seven species and seven subspecies of Hippophaë was studied using proton nuclear magnetic resonance ((1)H NMR) metabolomics combined with multivariate data analysis, and the important metabolites were quantified by quantitative (1)H NMR (qNMR) method. The results showed that different Hippophaë species can be clearly discriminated and the important interspecific discriminators, including organic acids, L-quebrachitol, and carbohydrates were identified. Statistical differences were found among most of the Hippophaë species and subspecies at the content levels of the aforementioned interspecific discriminators via qNMR and one-way analysis of variance (ANOVA) test. These findings demonstrated that (1)H NMR-based metabolomics is an applicable and effective approach for simultaneous metabolic profiling, species differentiation and quality assessment.