详细信息
Quality Assessment and Classification of Codonopsis Radix Based on Fingerprints and Chemometrics ( SCI-EXPANDED收录) 被引量:6
文献类型:期刊文献
英文题名:Quality Assessment and Classification of Codonopsis Radix Based on Fingerprints and Chemometrics
作者:Liu, Xuxia[1];Chen, Zhengjun[1];Wang, Xin[1];Luo, Wenrong[2];Yang, Fude[1]
第一作者:刘旭旭;刘晓霞
通信作者:Yang, FD[1]
机构:[1]Gansu Univ Tradit Chinese Med, Sch Pharm, Lanzhou 730013, Peoples R China;[2]Gansu Prov Hosp Chinese Med, Lanzhou 730050, Peoples R China
第一机构:甘肃中医药大学
通信机构:[1]corresponding author), Gansu Univ Tradit Chinese Med, Sch Pharm, Lanzhou 730013, Peoples R China.|[10735]甘肃中医药大学;
年份:2023
卷号:28
期号:13
外文期刊名:MOLECULES
收录:;WOS:【SCI-EXPANDED(收录号:WOS:001033282700001)】;
基金:The study was supported by the Science and Technology Project of Gansu Province (Fude Yang, Grant No. 21JR1RA271), the Key research and development Project of the Ministry of Science and Technology (Fude Yang, Grant No. 2018YFC1706305), the Industrial Support Program of Colleges and Universities in Gansu Province (Fude Yang, Grant No. 2021CYZC-40) and the "Innovation Star" Program for graduate students of Gansu Provincial Education Department (Xuxia Liu, Grant No. 2023CXZX-740).
语种:英文
外文关键词:HPLC fingerprint; PCA; O2PLS-DA; marker compounds; quality control
摘要:In China, Codonopsis Radix (CR) is frequently consumed both as food and medicine. Here, a comprehensive strategy based on fingerprinting and chemometric approaches was created to explore the influence of origins, storage time and kneading processing on the quality of CR. Firstly, high-performance liquid chromatography with diode array detection was used to obtain the fingerprints of 35 batches of CR from six different origins and 33 batches of CR from varying storage times or kneading procedures. Secondly, chemometric methods including similarity analysis (SA), principal component analysis (PCA), hierarchical clustering analysis (HCA), and two-way orthogonal partial least square with discriminant analysis (O2PLS-DA) were used to evaluate the differences of chemical components in CR so as to identify its source and reflect its quality. Moreover, 13 and 16 major compounds were identified as marker compounds for the discrimination of CR from different origins, storage time and kneading processing, respectively. Furthermore, the relative content of the marker components and the exact content of Lobetyolin were measured, indicating that the contents of these components vary significantly between various CR samples. Meanwhile, the chemical components of CR were identified using Mass spectrometry. According to the findings of our investigation, the quality of CR from Gansu was the best, followed by Shanxi and then Sichuan. The quality of CR from Chongqing and Guizhou was poor. At the same time, the quality of CR was the best when it was kneaded and stored for 0 years, indicating that the traditional kneading process of CR is of great significance. Conclusively, HPLC fingerprint in conjunction with chemical pattern recognition and component content determination can be employed to differentiate the raw materials of different CR samples. Additionally, it is also a reliable, comprehensive and prospective method for quality control and evaluation of CR.
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