Evaluation of the key ingredient from the main production areas of Phellodendri Amurensis Cortex using ultra‐high‐performance liquid chromatography‐quadrupole time‐of‐flight tandem mass spectrometry and ultra‐high‐performance liquid chromatography coupled to triple‐quadrupole mass spectrometry

Author:

Sun Yuran1ORCID,Zhao Qiqi1,Fang Heng12,Sun Hui1,Yang Le3,Sun Ye3,Yan Guangli1,Han Ying1,Wang Xijun123

Affiliation:

1. State Key Laboratory of Integration and Innovation of Classic Formula and Modern Chinese Medicines National Chinmedomics Research Center National TCM Key Laboratory of Serum Pharmacochemistry Metabolomics Laboratory Department of Pharmaceutical Analysis Heilongjiang University of Chinese Medicine Harbin China

2. State Key Laboratory of Quality Research in Chinese Medicine Macau University of Science and Technology Taipa Macau

3. State Key Laboratory of Dampness Syndrome The Second Affiliated Hospital Guangzhou University of Chinese Medicine Guangzhou China

Abstract

Phellodendri Amurensis Cortex (PAC) is a medicinal herb that has been generally used to treat diarrhea and jaundice. In order to comprehensively evaluate the PAC in the main production areas quality, a qualitative and quantitative method with highly effective, sensitive, and reliable was developed. The chemical compositions of PAC were analyzed, and fingerprints were established by ultra‐high‐performance liquid chromatography‐quadrupole time‐of‐flight tandem mass spectrometry (UPLC‐Q‐TOF‐MS). Then, the determination of berberine, canthin‐6‐one, dictamnine, γ‐fagarine, and magnoflorine from PAC samples was simultaneously performed using UPLC‐QQQ‐MS. Furthermore, the chemical components of PAC from different regions were compared and analyzed by combining hierarchical cluster analysis, principal component analysis, and orthogonal partial least squares discriminant analysis. A total of 58 compounds were identified, including 36 alkaloids, four phenylpropanoids, seven terpenoids, four flavonoids and their glycosides, an organic acid compound, and six other components. The fingerprint results show that samples have good similarity. Meanwhile, the content of the five ingredients in different habitats is quite different. By multivariate statistical analysis, 18 batches of PAC could be divided into three categories, and 20 components were identified as differential markers of various origins. A comprehensive method of PAC quality evaluation and chemical composition difference analysis was established, which provided the scientific basis for quality evaluation and further pharmacological mechanism research.

Publisher

Wiley

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