Study on the identification of the origin of Erigeron breviscapus based on UPLC
10.3760/cma.j.cn115398-20240328-00370
- VernacularTitle:基于UPLC的云南贵州灯盏细辛产地识别研究
- Author:
Jiao ZHANG
1
;
Heng TIAN
;
Tao LIN
;
Xiangzhong HUANG
;
Hongcheng LIU
Author Information
1. 云南民族大学民族医药学院，昆明 650500
- Keywords:
Place of production (TCD);
Erigeron breviscapus;
Chemometrics;
Fingerprint;
Quality control
- From:
International Journal of Traditional Chinese Medicine
2025;47(3):364-371
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To establish ultra-performance liquid chromatography (UPLC) fingerprint chromatograms for Erigeron breviscapu from different origins and storage conditions; To identify the Erigeron breviscapus from different habitats by chemometric analysis.Methods:Acquity UPLC HSS T3 (2.1 mm×100 mm,1.8 μm) chromatography column was used; mobile phase was 0.1% formic acid aqueous solution-acetonitrile; detection wavelength was 268 nm; flow rate was 0.25 ml/min; column temperature was 35 ℃; injection volume was 2 μl gradient elution. The UPLC fingerprint of Erigeron breviscapu from different origins was established. Similarity evaluation combined with chemometric analysis methods such as clustering analysis (CA), principal component analysis (PCA), orthogonal partial least squares method - discriminant analysis (OPLS-DA) were used to identify the origin of Breviscapine from different places. Fingerprint technology was used to evaluate the similarity of storage conditions for Erigeron breviscapu.Results:The UPLC fingerprint method met the methodological requirements. 30 batches of Erigeron breviscapus had 24 common peaks, and the similarity between Xingyi in Guizhou and Huize in Qujing was 0.702-0.783, while the similarity between Honghe Luli, Kunming Fuming and Dali was 0.861-0.970. All samples were divided into two categories according to their origin by CA: category Ⅰ: Xingyi in Guizhou and Huize in Qujing, and category Ⅱ: Dali, Kunming Fuming and Honghe Luli. The results of PCA were consistent with CA. OPLS-DA screened out 10 differential markers of Erigeron breviscapus from different habitats. Moreover, a total of 40 common peaks were identified in six batches of Erigeron breviscapus samples stored under different conditions. Based on the similarity analysis, Erigeron breviscapus samples stored at 30% humidity and 70% humidity were classified into two separate categories.Conclusions:The fingerprint method constructed in this study is stable and reliable, and the predictive ability and reliability of the OPLS-DA model are excellent. By combining the two methods, a clear division can be made between Erigeron breviscapus from Yunnan and Guizhou. Humidity conditions are an important factor in storing Erigeron breviscapus.
