School of Pharmaceutical Sciences, Jilin University, Changchun, P. R. China.
National Center of Mass Spectrometry in Changchun & Jilin Provincial Key Laboratory of Chinese Medicine Chemistry and Mass Spectrometry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, P. R. China.
J Sep Sci. 2021 Feb;44(3):691-708. doi: 10.1002/jssc.202000913. Epub 2021 Jan 18.
Quick identification of the complex composition of traditional Chinese medicine only through liquid-mass spectrometry technology is difficult. Especially the identification of isomers and co-eluting compounds is even more difficult. In this study, an approach of multidimensional data modes based on ultra-performance liquid chromatography coupled with traveling wave ion mobility quadrupole time-of-flight mass spectrometry was proposed to quickly and comprehensively identify the compounds in Platycodi Radix. First, data-independent acquisition, high-definition acquisition, and tandem mass spectrometry acquisition modes were used to acquire integrated multidimensional mass spectral data. Second, summarize the diagnostic ions of compounds according to the fragmentation pathway of references. Third, unknown compounds and isomers were identified via the UNIFI™ software with an in-house library. Finally, a total of 87 compounds were identified, seven compounds were explicitly identified by comparing the retention time and fragment ions with the references. Fourteen compounds were first detected in the Platycodi Radix, four of them tentatively were identified by comparing with previous literature, eight compounds were observed and reported for the first time by comparing typical fragmentation pathway with the known standard substances in this paper. This research strategy has a certain potential for the analysis of complex components of other traditional Chinese medicine.
快速鉴定中药的复杂组成仅通过液质联用技术是困难的。特别是对异构体和共洗脱化合物的鉴定更是困难。在这项研究中,提出了一种基于超高效液相色谱与飞行时间离子淌度串联质谱的多维数据模式方法,用于快速全面地鉴定桔梗中的化合物。首先,采用数据非依赖性采集、高分辨采集和串联质谱采集模式,获取集成多维质谱数据。其次,根据参考文献的裂解途径,总结化合物的诊断离子。然后,通过 UNIFI™软件和内部库对未知化合物和异构体进行鉴定。最后,共鉴定出 87 种化合物,其中 7 种化合物通过与参考文献的保留时间和碎片离子进行比较来明确鉴定,14 种化合物首次在桔梗中检测到,其中 4 种通过与以前的文献进行比较来初步鉴定,8 种化合物通过与本文中已知标准物质的典型裂解途径进行比较首次观察到并报道。这种研究策略对于其他中药复杂成分的分析具有一定的潜力。