State Key Laboratory Basis of Xinjiang Indigenous Medicinal Plants Resource Utilization, Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.
University of Chinese Academy of Sciences, Beijing 100049, China.
Molecules. 2022 Jun 6;27(11):3638. doi: 10.3390/molecules27113638.
This work aimed to develop and evaluate a post-acquisition data processing strategy, referred to as a mass defect filter (MDF), for rapid target the resin glycosides in root of by setting mass rang and mass defect range from high-resolution MS data. The full-scan mass data were acquired by high-performance liquid chromatography coupled with Q Exactive Plus hybrid quadrupole-orbitrap mass spectrometer that featured high resolution, mass accuracy, and sensitivity. To screen resin glycosides, three parent filter / 871, / 853, and / 869 combined with diagnostic fragment ions (DFIs) approach were applied to remove the interference from complex herbal extract. The targeted components were characterized based on detailed fragment ions. Using this approach, 80 targeted components, including 22 glycosidic acids and 58 resin glycosides were tentatively identified. The present results suggested that the proposed MDF strategy would be adaptable to the analysis of complex system in relevant filed.
本研究旨在开发和评估一种采集后数据处理策略，称为质量缺陷滤波器（MDF），用于通过从高分辨 MS 数据中设置质量范围和质量缺陷范围来快速靶向 根中的树脂糖苷。全扫描质量数据由配备高分辨率、质量精度和灵敏度的高效液相色谱- Q Exactive Plus 杂交四极杆轨道阱质谱联用仪采集。为了筛选树脂糖苷，应用了三种母离子过滤/871、/853 和/869 与诊断碎片离子（DFIs）方法相结合的方法，以去除复杂草药提取物的干扰。基于详细的碎片离子对靶向成分进行了表征。使用该方法，初步鉴定了 80 个靶向成分，包括 22 个糖苷酸和 58 个树脂糖苷。本研究结果表明，所提出的 MDF 策略将适用于相关领域中复杂体系的分析。
