Hindawi Journal of Analytical Methods in Chemistry Volume 2020, Article ID 8889607, 16 pages https://doi.org/10.1155/2020/8889607 Research Article Isolation and Identification of Chemical Constituents from Zhideke Granules by Ultra-Performance Liquid Chromatography Coupled with Mass Spectrometry Guangqiang Huang ,1 Jie Liang ,1,2,3 Xiaosi Chen,1 Jing Lin,1 Jinyu Wei,1 Dongfang Huang,1 Yushan Zhou,1 Zhengyi Sun,4 and Lichun Zhao 1,3 1College of Pharmacy, Guangxi University of Chinese Medicine, Nanning 530200, China 2Guangxi Key Laboratory of Zhuang and Yao Ethnic Medicine, Nanning 530200, China 3Guangxi Zhuang Yao Medicine Center of Engineering and Technology, Nanning 530200, China 4Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning 530011, China Correspondence should be addressed to Jie Liang;
[email protected] and Lichun Zhao;
[email protected] Received 25 August 2020; Accepted 8 December 2020; Published 29 December 2020 Academic Editor: Luca Campone Copyright © 2020 Guangqiang Huang et al. ,is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Chemical constituents from Zhideke granules were rapidly isolated and identified by ultra-performance liquid chromatography (UPLC) coupled with hybrid quadrupole-orbitrap mass spectrometry (MS) in positive and negative ion modes using both full scan and two-stage threshold-triggered mass modes. ,e secondary fragment ion information of the target compound was selected and compared with the compound reported in databases and related literatures to further confirm the possible compounds. A total of 47 chemical constituents were identified from the ethyl acetate extract of Zhideke granules, including 21 flavonoids and glycosides, 9 organic acids, 4 volatile components, 3 nitrogen-containing compounds, and 10 other compounds according to the frag- mentation patterns, relevant literature, and MS data.