Using the UPLC-QTOF-MS Fingerprinting Coupled with Clustering Analysis to Verify the Quality Control of Fritillaria przewalskii Maxim
Daoguang Song1,4, Jiaxin Guo2,4, Dingai Li2,4, XuanZheng XuanZheng2,4, Hongping Han3,4, Zhi Chen1,4★★ Corresponding author
- 1School of Geography Science, Qinghai Normal University, Xining, Qinghai, CHINA.
- 2School of Life Science, Qinghai Normal University, Xining, Qinghai, CHINA.
- 3School of Chemistry and Chemical Engineering, Qinghai Normal University, Xining, Qinghai, CHINA.
- 4Key Laboratory of Medicinal Animal and Plant Resources of the Qinghai-Tibetan Plateau, Qinghai Normal University, Xining, Qinghai, CHINA.
CORRESPONDENCE
Zhi Chen
School of Geography Science, Qinghai Normal University, Qinghai 810008, CHINA.
Volume 19, Issue 2 · pp. 336–345 · PUBLISHED 2023 · DOI: 10.1177/09731296231158227
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ABSTRACT
Background: A method is proposed as follows to establish the ultra-performance liquid chromatography quadrupole timeof-flight mass spectrometry (UPLC-QTOF-MS) fingerprinting and content determination for Fritillaria przewalskii Maxim. (FPM). Materials and Methods: The separation was developed using an Acquity UPLC CSH C18 column (2.1 mm × 100 mm, 1.7 μm). The gradient elution was carried out with acetonitrile solution with 0.1% acetic acid (containing 0.01 mol L−1 ammonium acetate) as the mobile phase, with the flow rate of 0.4 mL min−1, column temperature of 30℃, and injection volume of 2 μL. Fourteen batches of samples were analyzed under the above chromatographic conditions to ascertain the fingerprint of FPM sourced in different areas. A total of 45 common peaks were selected for analysis. Two chromatographic peaks were identified by comparison with the standard compound, and simultaneous content determination of the two compounds was carried out. These two compounds were identified as two alkaloids, peiminine and peimisine. SPSS 25.0 and SIMCA 14.1 were used for cluster analysis (CA), principal component analysis (PCA), and orthogonal partial least squares discriminant analysis (OPLS-DA) on the peak area of the 45 common peaks of FPM. Results: Results from this showed that samples sourced from different regions could be successfully divided into three groups based on their origin. The contents of peiminine and peimisine in different batches of FPM ranged from 57.92 to 76.01 μg/g and 118.12 to 167.39 µg/g. A quick and convenient identification using UPLC fingerprinting combined with PCA was then established to differentiate among FPM samples from different growing regions. Conclusion: This method may prove to be helpful for the quality evaluation and control of FPM and related medicinal plants in the future.
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Song, D., Guo, J., Li, D., XuanZheng, X., Han, H., & Chen, Z. (2023). Using the UPLC-QTOF-MS Fingerprinting Coupled with Clustering Analysis to Verify the Quality Control of Fritillaria przewalskii Maxim. Pharmacognosy Magazine, 19(2), 336–345. https://doi.org/10.1177/09731296231158227