Wang Li, Yao Zhong Ping, Li Ping, Chen Si-Bao, So Pui-Kin, Shi Zi-Qi, Hu Bin, Liu Li-Fang, Xin Gui-Zhong
State Key Laboratory of Natural Medicines, Department of Chinese Medicines Analysis, China Pharmaceutical University, Nanjing, China.
State Key Laboratory of Chinese Medicine and Molecular Pharmacology (Incubation), Shenzhen Research Institute of The Hong Kong Polytechnic University, Shenzhen, China.
J Sep Sci. 2016 Jan;39(2):287-95. doi: 10.1002/jssc.201500880. Epub 2015 Dec 7.
Methods based on triple quadrupole tandem mass spectrometry have been widely used and reported as highly selective and sensitive methods for quantifying substances of herbal medicines. However, most of them were limited to targeted components, due to the difficulties to optimize the multiple reaction monitoring transitions without authentic standards. This study proposed a novel strategy for non-targeted optimization of multiple reaction monitoring method based on the diagnostic ion guided family classifications, tandem mass spectrometry database establishment, and transitions and collision energy screening. Applying this strategy, 59 Fritillaria alkaloids in Fritillariae Ussuriensis Bulbus have been classified, and 51 of these Fritillaria alkaloids were successfully detected by the optimal multiple reaction monitoring method. For semi-quantification, the easy-to-obtain Fritillaria alkaloids of each type, such as verticinone for cevanine type and peimisine for jervine type, were used as the reference standards to calibrate the other Fritillaria alkaloids in the same type. The method was demonstrated a good linearity (R(2) > 0.998) with satisfactory accuracy and precision, and the lower limits of quantification of verticinone and peimisine were estimated to be 0.076 and 0.216 pg, respectively. In addition, the results suggested that the proposed strategy might obtained high quality metabolomics data in discrimination of Fritillaria unibracteata and Fritillaria ussuriensis.
基于三重四极杆串联质谱的方法已被广泛应用,并被报道为定量草药中物质的高选择性和灵敏方法。然而,由于在没有真实标准品的情况下难以优化多反应监测跃迁,它们中的大多数仅限于靶向成分。本研究提出了一种基于诊断离子引导的家族分类、串联质谱数据库建立以及跃迁和碰撞能量筛选的多反应监测方法非靶向优化新策略。应用该策略,对川贝母中的59种贝母生物碱进行了分类,其中51种贝母生物碱通过最佳多反应监测方法成功检测。对于半定量,使用每种类型易于获得的贝母生物碱,如西贝母碱型的去氢浙贝母碱和浙贝母碱型的浙贝母碱,作为参考标准品来校准同一类型中的其他贝母生物碱。该方法具有良好的线性(R(2) > 0.998),准确度和精密度令人满意,去氢浙贝母碱和浙贝母碱的定量下限分别估计为0.076和0.216 pg。此外,结果表明所提出的策略可能在鉴别单瓣贝母和川贝母方面获得高质量的代谢组学数据。