Abstract Since Myrtaceae is considered a complex family concerning the taxonomic classification due to the elevated number of components, difficult morphologic differentiation, and relatively low amount of studies in area, this article describes the potentiality of classification using chemometrics applied to UPLC-qToF/MS-MS dataset for chemotaxonomy investigation of leaves of fifteen species from the genus Psidium, Plinia, Myrciaria, and Eugenia into the Myrtaceae family. The use of a multivariate tool was indispensable to detect marker compounds since an elevated number of information on chromatograms did not provide conclusive data. The results offered an adequate classification among genus and species, principally based on ellagic acid, catechin, epicatechin, isoquercitrin, quercitrin, reynoutrin, madecassic acid, asiatic acid, and morin, used as marker compounds. Therefore, the method was useful and permitted the satisfactory chemotaxonomic distinction among the genus.

中文翻译：

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通过 UPLC-qToF/MS-MS 结合基于属的监督分类对桃金娘科不同物种的化学分类学评估

摘要 由于桃金娘科由于组分数量增加、形态学分化困难以及区域研究量相对较少而被认为是一个复杂的分类科，本文描述了使用化学计量学应用于 UPLC-qToF/MS 进行分类的潜力。 MS 数据集，用于对从 Psidium、Plinia、Myrciaria 和 Eugenia 属到桃金娘科的 15 个物种的叶子进行化学分类研究。多变量工具的使用对于检测标记化合物是必不可少的，因为色谱图上的大量信息并没有提供确凿的数据。结果提供了一个适当的属和种分类，主要基于鞣花酸、儿茶素、表儿茶素、异槲皮苷、槲皮苷、reynoutrin、羟基乙酸、积雪草酸和桑黄素，用作标记化合物。因此，该方法是有用的，并允许在属之间进行令人满意的化学分类学区分。