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| Screeening of identification markers between Inula japonica and Inula helianthus-aquatica using UPLC fingerprints combined with chemometrics |
| Hits 151 Download times 77 Received:May 21, 2025 |
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| DOI
10.11656/j.issn.1673-9043.2025.11.05 |
| Key Words
fingerprint;Inula japonica;Inula helianthus-aquatica;chemometrics;quality evaluation |
| Author Name | Affiliation | E-mail | | LIU Meng | School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, 301617 Tianjin, China | | | CUI Yan | State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, 301617 Tianjin, China | | | DU Kunze | State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, 301617 Tianjin, China | | | LI Xiaoxia | School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, 301617 Tianjin, China | lixx@tjutcm.edu.cn | | XIANG Beibei | School of Chinese Materia Medica, Tianjin University of Traditional Chinese Medicine, 301617 Tianjin, China | xiangbeibei03230@163.com。 | | CHANG Yanxu | State Key Laboratory of Component-based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, 301617 Tianjin, China | |
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| Abstract
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| [Objective] To screen and differentiate 27 batches of Inula japonica samples and 18 batches of Inula helianthus-aquatica samples from the market based on identification markers using UPLC fingerprints combined with chemometric methods.[Methods] Chromatographic separation was performed on an ACQUITY UPLC BEH C18 column(2.1 mm×50 mm,1.7 μm) with a mobile phase consisting of 0.1% formic acid aqueous solution(A) and acetonitrile(B) in gradient elution mode. The flow rate was set at 0.3 mL/min,the column temperature at 40℃,the injection volume at 2 μL,and the detection wavelength at 254 nm. A combination of similarity analysis and multivariate statistical analysis was employed to identify potential discriminant markers for Inula japonica and Inula helianthus-aquatica. A Fisher discriminant model was constructed using the identified markers to classify 45 batches of samples.[Results] A total of 30 common peaks were identified across the 45 batches,and 9 chemical components were assigned. The similarity evaluation of all batches yielded values greater than 0.9 Principal component analysis(PCA) and orthogonal partial least squares discriminant analysis(OPLS-DA) produced consistent results. Six compounds were identified as potential discriminant markers for distinguishing Inula japonica and Inula helianthus-aquatica through the OPLS-DA model.[Conclusion] The fingerprinting method combined with chemometric analysis is accurate and reliable,enabling the differentiation of Inula japonica and Inula helianthus-aquatica based on chemical composition. This approach provides a valuable reference for the quality evaluation of Inula japonica. |
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