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Simultaneous determination of 15 components in medicinal and ornamental peony by UPLC-MS/MS*

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  • 1. Lanzhou Institute for Food and Drug Inspection and Testing, Lanzhou 730050, China;
    2. Gansu Engineering Research Center for Monitoring Exogenous Harmful Residues in Traditional Chinese Medicines, Lanzhou 730050, China;
    3. Lanzhou Agricultural Science and Technology Research and Extension Center, Lanzhou 730050, China

Received date: 2021-02-24

  Online published: 2024-06-26

Abstract

Objective: To establish a method for simultaneous determination of 15 components in Paeonia lactiflora by ultra performance liquid chromatography-triple quadrupole mass spectrometry (UPLC-MS/MS). Methods: Determination was carried out on a Waters UPLC HSS T3 column (150 mm×2.1 mm, 1.8 μm). The mobile phase was composed of 0.1% formic acid containing 5 mmol·L-1 ammonium acetate (B) and acetonitrile (A) with gradient elution (0-1.0 min, 10%A→15% A;1.0-6.0 min,15%A→30%A; 6.0-10.0 min, 30%A→90%A; 10.0-12.0 min, 90%A→10%A) at a flow rate of 0.3 mL·min-1. The electrospray ionization(ESI)source was performed in multiple reaction monitoring (MRM) mode using positive and negative electrospray ionization. Results: Under the optimized chromatographic conditions, good separation of 15 target components was obtained within 12 min. Satisfactory linearity was achieved within the investigated linear ranges and with fine coefficients (r>0.995). The detection limits were 0.039 08-25.45 mg·kg-1, the limits of quantification were 0.130 3-84.83 mg·kg-1, the recoveries were 90.6%-96.0%, and the RSDs were 2.7%-5.4%. Conclusion: It is the first report of simultaneous analysis of 15 kinds of components in peony’s root by using UPLC-MS/MS method. The method is simple, fast, sensitive, reproducible and of good recovery, which can be used for the determination of components in Paeonia lactiflora.

Cite this article

ZHANG Wen . Simultaneous determination of 15 components in medicinal and ornamental peony by UPLC-MS/MS*[J]. Chinese Journal of Pharmaceutical Analysis, 2022 , 42(3) : 484 -493 . DOI: 10.16155/j.0254-1793.2022.03.16

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