Ding Meng, Fan Jun-Li, Huang Dong-Fang, Jiang Yue, Li Meng-Ning, Zheng Yu-Qing, Yang Xiao-Ping, Li Ping, Yang Hua
State Key Laboratory of Natural Medicines, School of Traditional Chinese Pharmacy, China Pharmaceutical University, No. 24 Tongjia Lane, Nanjing, 210009, China.
Zhangzhou Pien Tze Huang Pharmaceutical Co., Ltd, Zhangzhou Fujian, 363000, China.
Chin Med. 2022 Apr 1;17(1):41. doi: 10.1186/s13020-022-00594-8.
Moschus is a rare and precious natural medicine. Due to the properties of resources scarcity and expensive price of natural musk, artificial musk has been developed as substitute materials in some prescriptions. Rapid and accurate identification of natural or artificial musk in complex traditional Chinese medicine (TCM) preparations is also a challenge.
A strategy from non-targeted to targeted gas chromatography-mass spectrometry (GC-MS) metabolomics was developed for discrimination of natural and artificial musk. Firstly, GC-MS-based non-targeted analysis combined with chemometrics was used to find the potential chemical markers to distinguish natural musk and artificial musk. Subsequently, targeted metabolomics was used to analyze musk in preparations with multiple reaction monitoring (MRM) mode by use gas chromatography coupled with triple quadrupole mass spectrometry (GC-QQQ MS).
Two chemical markers named prasterone and androsterone have been selected and could be detected in all Compound Pien Tze Huang preparations (CPZHs) containing artificial musk, while the CPZHs containing natural musk did not detect two markers with S/N (signal to noise ratio) less than 3.
Our work provides an applicable approach to select the practical chemical markers for the assessment of musk in preparations to realize the traceability of musk in TCM and improve the quality control of musk-containing preparations.
麝香是一种珍稀名贵的天然药物。由于天然麝香资源稀缺且价格昂贵,在一些方剂中已开发人工麝香作为替代材料。在复杂的中药制剂中快速准确地鉴别天然麝香或人工麝香也是一项挑战。
开发了一种从非靶向到靶向的气相色谱-质谱(GC-MS)代谢组学策略来区分天然麝香和人工麝香。首先,基于GC-MS的非靶向分析结合化学计量学用于寻找区分天然麝香和人工麝香的潜在化学标志物。随后,采用靶向代谢组学,通过气相色谱-三重四极杆质谱联用(GC-QQQ MS),在多反应监测(MRM)模式下分析制剂中的麝香。
已筛选出两种名为普拉睾酮和雄甾酮的化学标志物,在所有含人工麝香的片仔癀制剂(CPZHs)中均可检测到,而含天然麝香的CPZHs未检测到这两种标志物,信噪比(S/N)小于3。
我们的工作提供了一种适用的方法,用于选择评估制剂中麝香的实用化学标志物,以实现中药中麝香的可追溯性并提高含麝香制剂的质量控制。