Open AccessStudy on HPLC Fingerprint of Dendrobium Nobile Lindl. Flower Based on Chemometrics
Author(s) -
Ke Zhong,
Tingting Yang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/651/3/032027
Subject(s) - chemistry , chromatography , rutin , chlorogenic acid , chemometrics , high performance liquid chromatography , fingerprint (computing) , artificial intelligence , computer science , biochemistry , antioxidant
Objective: TO establish HPLC fingerprin of Dendrobium nobile Lindl. ( D. nobile Lindl.) flower. Method: Agilent SB-C18 (250×4.6mm, 5μm) chromatographic column was used, with the mobile phase of acetonitrile-0.1% phosphoric acid solution, the flow rate was 0.8mL/min, the wavelength was 254nm, and column temperature was 30°C. Similarity evaluation combined with cluster analysis (CA), principal components analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were used to evaluate the HPLC chromatographic fingerprint of 15 batches of D. nobile Lindl. flower. Result: The HPLC fingerprint of D. nobile Lindl. flower was obtained with 26 common peaks, and 3 of them were identifie, including protocatechuic acid, chlorogenic acid and rutin. The similarity of 15 batches of D. nobile Lindl. flower was between 0.866 ~ 0.989. By CA, PCA and OPLS-DA analysis, the 15 batches of samples were divided into 2 categories, and 14 components contributed most to the classification were obtained. Conclusion: The method is simple and reproducible, and could provide a reference for the quality evaluation of D. nobile Lindl. flower.