Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/43819
Title: Global detection and semi-quantification of fritillaria alkaloids in fritillariae ussuriensis bulbus by a non-targeted multiple reaction monitoring approach
Authors: Wang, L
Yao, ZP 
Li, P
Chen, SB
So, PK
Shi, ZQ
Hu, B
Liu, LF
Xin, GZ
Keywords: Fritillaria alkaloids
Fritillariae ussuriensis bulbus
Herbal medicines
Multiple reaction monitoring
Semi-quantification
Issue Date: 2016
Publisher: Wiley-VCH
Source: Journal of separation science, 2016, v. 39, no. 2, p. 287-295 How to cite?
Journal: Journal of separation science 
Abstract: 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 (R2 > 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.
URI: http://hdl.handle.net/10397/43819
ISSN: 1615-9306
EISSN: 1615-9314
DOI: 10.1002/jssc.201500880
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