Title:Simultaneous Determination of 17 Constituents of Chinese Wild Radix <i>Salvia miltiorrhiza</i> from Different Geographical Areas by Ultra-High Performance Liquid Chromatography Coupled to Triple Quadrupole Mass Spectrometry
VOLUME: 16 ISSUE: 3
Author(s):Xiao-Dan Zhang, Ye-Sheng Cen, Yan-Ge Yu, Zhe-Chen Qi, Dong-Feng Yang, Zi-Ying Wang, Zhuo-Ni Hou and Zong-Suo Liang*
Affiliation:College of Life Science, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, College of Life Science, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, Industrial Crops Research Institute, Henan Academy of Agricultural Sciences, Zhengzhou 450002, College of Life Science, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, College of Life Science, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, College of Life Science, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, College of Life Science, Zhejiang Sci-Tech University, Hangzhou, Zhejiang 310018, Zhejiang Key Laboratory of Plant Secondary Metabolism and Regulation, College of Life Sciences, Zhejiang Sci-Tech University, Hangzhou 310018
Keywords:UPLC-QqQ-MS, wild Salvia miltiorrhiza, hierarchical cluster analysis, geographical, triple quadrupole, mass spectrometry.
Abstract:
Background and Objective: Radix Salvia miltiorrhiza (RSM) has been used clinically for the
prevention and treatment of cardiovascular diseases; therefore, it is important to strengthen its quality
management. Considering multiple constituents when assessing RSM quality is essential. We established
a simple, rapid method to identify and quantify the major bioactive constituents in RSM using
ultra high performance liquid chromatography (UPLC) coupled to a triple quadruple mass spectrometry
(QqQ-MS).
Methods: We analyzed 17 markers from 50 batches of wild S. miltiorrhiza samples that were collected
from different locations in China. The ultrasonic extracts of all samples were determined using the
UPLC-QqQ-MS method and were assessed by hierarchical cluster analysis (HCA).
Results: We used this method to analyze 50 sample batches of the 17 compounds and obtained results
with excellent linearity (R2, 0.9915-0.9997), precision (relative standard deviation, RSD, 0.15-1.94%),
repeatability (RSD, 1.28-4.71%), stability (RSD, 0.97-5.60%) and recovery (RSD, 0.305-6.40%). The
hierarchical cluster analysis was used to classify the 50 samples based on the characteristics of the 17
compound markers.
Conclusion: We demonstrated that the developed method was simple, reproducible and sensitive, and it
is capable of systematic and scientific evaluation for quality control of RSM. The HCA clearly demonstated
that the RSM samples from different locations were significantly different and the quality of wild
Radix S. miltiorrhiza could generally be judged according to its geographical origin.