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揭示瓜比朱果的酚类多样性:基于液相色谱-串联质谱的靶向代谢组学方法。

Uncovering the phenolic diversity of Guabiju fruit: LC-MS/MS-based targeted metabolomics approach.

作者信息

Spinelli Liziane V, Anzanello Michel J, Areze da Silva Santos Rodrigo, Carboni Martins Caroline, Freo Saggin Justine, Aparecida Silva Da Silva Magnólia, Rodrigues Eliseu

机构信息

Food Science and Technology Institute, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil.

Department of Industrial Engineering, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil.

出版信息

Food Res Int. 2023 Nov;173(Pt 1):113236. doi: 10.1016/j.foodres.2023.113236. Epub 2023 Jul 14.

DOI:10.1016/j.foodres.2023.113236
PMID:37803550
Abstract

The comprehensive composition of phenolic compounds (PC) from seven genotypes of guabiju were analyzed by high-performance liquid chromatography coupled to a diode array detector and mass spectrometry (HPLC-ESI-qTOF-MS/MS), and a targeted metabolomic approach was utilized to explore the PC-related similarities among the genotypes. Sixty-seven phenolic compounds were annotated and twenty-four were quantified in all genotypes of guabiju. The phenolic acids and anthocyanins were the major PC, representing more than 63% (w/w) of the total PC. Di-O-galloylquinic and tri-O-galloylquinic acids and ellagitannins were reported for the first time in guabiju. The results of hierarchical clustering and principal components analysis (PCA) suggested seven groups as suitable clusters to be formed according to phenolic composition. Eleven PC were selected as relevant for sample clustering, and six of them were highlighted as the most informative (in decreasing order of importance): epicatechin, catechin, (epi)gallocatechin gallate II, di-O-galloylquinic acid I, tri-O-galloylquinic acid and delphinidin 3-O-glucoside. To the best of our knowledge, this study contributes to the literature with the most complete phenolic profile of guabiju genotypes up to date. Moreover, guabiju susceptibility to fungal infestation related to PC composition was briefly discussed based on a parallel study using the same genotypes.

摘要

采用高效液相色谱-二极管阵列检测器-质谱联用技术(HPLC-ESI-qTOF-MS/MS)分析了7种巴西番樱桃基因型中酚类化合物(PC)的综合组成,并采用靶向代谢组学方法探究各基因型之间与PC相关的相似性。共鉴定出67种酚类化合物,并对所有巴西番樱桃基因型中的24种进行了定量分析。酚酸和花青素是主要的PC,占总PC的63%以上(w/w)。二-O-没食子酰奎尼酸和三-O-没食子酰奎尼酸以及鞣花单宁首次在巴西番樱桃中被报道。层次聚类和主成分分析(PCA)结果表明,根据酚类组成可形成7个合适的聚类组。选择了11种PC作为与样本聚类相关的成分,其中6种被突出显示为信息含量最高的成分(按重要性降序排列):表儿茶素、儿茶素、(表)没食子儿茶素没食子酸酯II、二-O-没食子酰奎尼酸I、三-O-没食子酰奎尼酸和飞燕草素3-O-葡萄糖苷。据我们所知,本研究为目前巴西番樱桃基因型最完整的酚类图谱文献做出了贡献。此外,基于一项使用相同基因型的平行研究,简要讨论了巴西番樱桃对与PC组成相关的真菌感染的易感性。

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