Table_2_Screening of Combinatorial Quality Markers for Natural Products by Metabolomics Coupled With Chemometrics. A Case Study on Pollen Typhae.DOCX Mingyan Ding Yan Jiang Xiean Yu Dong Zhang Jin Li Hui Wang Jiayuan Shen Xiu-mei Gao Yan-xu Chang 10.3389/fphar.2018.00691.s003 https://frontiersin.figshare.com/articles/dataset/Table_2_Screening_of_Combinatorial_Quality_Markers_for_Natural_Products_by_Metabolomics_Coupled_With_Chemometrics_A_Case_Study_on_Pollen_Typhae_DOCX/6703604 <p>Natural products, especially for traditional Chinese medicines (TCMs), are of great importance to cure diseases. Yet it was hard to screen the influential quality markers for monitoring the quality. A simple and comprehensive strategy was developed and validated to screen for the combinatorial quality markers for precise quality evaluation and discrimination of natural products. In this study, Pollen Typhae (PT) and it's processed products carbonized PT were selected as the representative case. Firstly, metabolomics data of 49 batches crude PT and carbonized PT was obtained by ultra high-performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF/MS). Then, metabolomics approaches were performed to screen for the potential markers that lead to the quality difference. Finally, chemometric methods were used to validate the accuracy of combinatorial quality markers. Thus, 42 compounds were identified from PT, 5 markers (isorhamnetin-3-O-(2<sup>G</sup>-α-L-rhamnosyl)-rutinoside, isorhamnetin-3-O-neohesperidoside, astragalin, kaempferol and umbelliferone) were successfully screened, identified, quantified and regarded as combinatorial quality markers for precise quality evaluation of crude and carbonized PT. It was demonstrated that the established comprehensively strategy provide an efficient tool for precise quality evaluation of natural products from the whole.</p> 2018-06-27 09:05:37 natural products combinatorial quality markers metabolomics method chemometric methods UHPLC-Q-TOF/MS precise quality evaluation