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Quantification of Bile Acids in Traditional Animal Medicines and Their Preparations Using Ultra High-Performance Liquid Chromatography-Mass Spectrometry in the Multiple Reaction Monitoring Mode

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Abstract

An ultra-high-performance liquid chromatograph-triple quadrupole mass spectrometry has been established and validated for the simultaneous quantification of 15 bile acids in four traditional animal medicines and their preparations. The separations of bile acids were performed on an Agilent ZORBAX Eclipse XDB-C18 column (50 × 2.1 mm; 1.8 μm) with methanol-0.1% formic acid as the mobile phase. Glycyrrhetinic acid was added as internal standard owing to its similar physiochemical properties with the bile acids. Using this condition, detected in the multiple reaction monitoring mode, the 15 bile acids, including three groups of isomers, were well quantified individually. Method validation showed that the linear regression relationship (r2, 0.9993–0.9999), precisions (intra-day RSD, 0.96–4.31%; inter-day, 1.73–4.43%), and recovery (95.3–120.9%) were all satisfactory. The analysis results showed that bear bile and bezoar (Niu Huang) as well as their formulations contained large amounts of most of the 15 bile acids. In addition, this research revealed for the first time the presences of bile acids in animal waste medication used in traditional medicine from two clinics, Hei-Bing-Pian (discharges of wild boar) and Trogopterus Dung. The established method could be used for the quantification of other bile- or animal waste-based crude drugs and their formulated products.

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Acknowledgments

This work was supported by Specialized Research Fund for the Doctoral Program of Higher Education (20131501110008).

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Correspondence to Chao-Mei Ma.

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Yerigui, Wu, XH., Wang, XJ. et al. Quantification of Bile Acids in Traditional Animal Medicines and Their Preparations Using Ultra High-Performance Liquid Chromatography-Mass Spectrometry in the Multiple Reaction Monitoring Mode. ANAL. SCI. 32, 499–503 (2016). https://doi.org/10.2116/analsci.32.499

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  • DOI: https://doi.org/10.2116/analsci.32.499

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