Department of Chemical Engineering and Analytical Chemistry , University of Barcelona , Martí i Franquès 1-11 , E08028 Barcelona , Spain.
Research Institute in Food Nutrition and Food Safety , University of Barcelona , Avenida Prat de la Riba 171, Edifici Recerca (Gaudí) , E-08901 Barcelona , Santa Coloma de Gramanet , Spain.
J Agric Food Chem. 2018 Sep 5;66(35):9353-9365. doi: 10.1021/acs.jafc.8b02855. Epub 2018 Aug 27.
UHPLC-HRMS (Orbitrap) polyphenolic profiling was applied to the characterization, classification, and authentication of cranberry-based natural and pharmaceutical products. Fifty three polyphenolic standards were characterized to build a user-accurate mass database which was then proposed to obtain UHPLC-HRMS polyphenolic profiles by means of ExactFinder software. Principal component analysis results showed a good sample discrimination according to the fruit employed. Regarding cranberry-based pharmaceuticals, discrimination according to the presentation format (syrup, sachets, capsules, etc.) was also observed due to the enhancement of some polyphenols by purification and preconcentration procedures. Procyanidin A2 and homogentisic, sinapic, veratric, cryptochlorogenic, and caffeic acids showed to be important polyphenols to achieve cranberry-based products discrimination against the other studied fruits. Partial least-squares regression allowed the determination of adulterant percentages in cranberry-fruit samples. Very satisfactory results with adulteration quantification errors lower than 6.0% were obtained even at low adulteration levels.
UHPLC-HRMS(轨道阱)多酚分析方法用于蔓越莓天然产品和药物产品的特征描述、分类和鉴定。本研究通过 53 种多酚标准品来建立用户精准质量数据库,然后通过 ExactFinder 软件获得 UHPLC-HRMS 多酚图谱。主成分分析结果表明,根据所使用的水果,样本能够得到很好的区分。对于基于蔓越莓的药物,由于通过纯化和预浓缩程序增强了某些多酚,因此根据制剂形式(糖浆、小袋、胶囊等)也可以进行区分。表儿茶素 A2 和原儿茶酸、芥子酸、藜芦酸、隐绿原酸和咖啡酸被证明是区分蔓越莓产品与其他研究水果的重要多酚。偏最小二乘回归允许测定蔓越莓果实样品中的掺杂物百分比。即使在低掺杂物水平下,也可以获得非常令人满意的结果,掺杂物定量误差低于 6.0%。