Maldini Mariateresa, D'Urso Gilda, Pagliuca Giordana, Petretto Giacomo Luigi, Foddai Marzia, Gallo Francesca Romana, Multari Giuseppina, Caruso Donatella, Montoro Paola, Pintore Giorgio
Department of Chemistry and Pharmacy, University of Sassari, Via F. Muroni, 23/b, 07100 Sassari, Italy.
Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, Via Balzaretti, 9, 20133 Milan, Italy.
Foods. 2019 Jul 27;8(8):294. doi: 10.3390/foods8080294.
A comparison between High-Performance Thin-Layer Chromatography (HPTLC) analysis and Liquid Chromatography High Resolution Mass Spectrometry (LC-HRMS), coupled with Principal Component Analysis (PCA) was carried out by performing a combined metabolomics study to discriminate () plants. For a rapid digital record of extracts (leaves, yellow fruit, and red fruit collected in La Maddalena and Sassari, Sardinia), HPTLC was used. Data were then analysed by PCA with the results of the ability of this technique to discriminate samples. Similarly, extracts were acquired by non-targeted LC-HRMS followed by unsupervised PCA, and then by LC-HRMS (MS) to identify secondary metabolites involved in the differentiation of the samples. As a result, we demonstrated that HPTLC may be applied as a simple and reliable untargeted approach to rapidly discriminate extracts based on tissues and/or geographical origins, while LC-HRMS could be used to identify which metabolites are able to discriminate samples.
通过进行联合代谢组学研究以鉴别（）植物，开展了高效薄层色谱法（HPTLC）分析与液相色谱高分辨率质谱法（LC-HRMS）并结合主成分分析（PCA）的比较。为了对提取物（在撒丁岛的马达莱纳和萨萨里采集的叶子、黄色果实和红色果实）进行快速数字记录，使用了HPTLC。然后通过PCA分析数据，得出该技术鉴别样品的能力结果。同样，通过非靶向LC-HRMS获取提取物，随后进行无监督PCA，然后通过LC-HRMS（MS）来鉴定参与样品分化的次生代谢物。结果表明，HPTLC可作为一种简单可靠的非靶向方法，基于组织和/或地理来源快速鉴别提取物，而LC-HRMS可用于鉴定哪些代谢物能够鉴别样品。
