College of Food Science and Technology, Northwest University, 229 Taibai North Road, Xi'an 710069, China.
College of Food Science and Technology, Northwest University, 229 Taibai North Road, Xi'an 710069, China; Instrument Analysis Center of Xi'an Jiaotong University, 28 Xianning West Road, Xi'an 710048, China.
Food Res Int. 2023 Jan;163:112228. doi: 10.1016/j.foodres.2022.112228. Epub 2022 Dec 5.
Actinidia arguta, an edible berry plant with high nutritional values, has been widely used in Asian countries as a food and traditional medicinal herb. The well-recognized health-promoting properties of A. arguta were associated with its bioactive components in its different botanical parts. To rapidly screen and identify chemical components and simultaneously determine the potential metabolites from different parts of A. arguta, UPLC-Q-TOF-MS coupled with UNIFI platform and multivariate statistical analysis approach was established in this study. As a result, a total of 107 components were identified from the four different parts of A. arguta, in which 31 characteristic chemical markers were discovered among them, including 12, 8, 6, and 5 compounds from the fruits, leaves, roots, and stems, respectively. These results suggested that the combination of UPLC-Q-TOF-MS and metabolomic analysis is a powerful method to rapidly screen characteristic markers for the quality control of A. arguta.
软枣猕猴桃，一种具有高营养价值的可食用浆果植物，在亚洲国家被广泛用作食品和传统药材。软枣猕猴桃的公认的促进健康的特性与其不同植物部位的生物活性成分有关。为了快速筛选和鉴定化学成分，并同时确定软枣猕猴桃不同部位的潜在代谢物，本研究建立了 UPLC-Q-TOF-MS 结合 UNIFI 平台和多变量统计分析方法。结果，从软枣猕猴桃的四个不同部位中鉴定出了 107 种成分，其中发现了 31 种特征化学标记物，包括来自果实、叶子、根和茎的 12、8、6 和 5 种化合物。这些结果表明，UPLC-Q-TOF-MS 和代谢组学分析的结合是一种快速筛选软枣猕猴桃质量控制特征标记物的有力方法。
