超高效液相色谱-质谱法同时测定舒血宁注射剂中20种黄酮醇苷与萜类内酯成分

建立了舒血宁注射剂中16种黄酮及4种萜类内酯同时定量的超高效液相色谱-质谱分析方法,并采用所建立的方法同时测定了不同厂家舒血宁注射剂产品中上述20种化合物的含量。注射剂样品经甲醇-水(体积比1∶1)稀释后,在Acquity UPLC BEH Shield RP18(2.1 mm×100 mm,1.7μm)色谱柱上分析,以0.1%(体积分数)甲酸水溶液-乙腈为流动相进行梯度洗脱,以电喷雾离子源负离子多反应监测(MRM)模式进行质谱监测。结果表明:20种化合物可在10 min内完成色谱分离分析,检出限和定量下限分别为0.02~1.59 ng/mL和0.07~5.30 ng/mL,16种黄酮及4种萜类内酯在各自的线性范围内线性关系良好,在低、中、高3个加标水平下的回收率为85.9%~109%。该方法前处理简单、快速高效、准确性高,为舒血宁注射剂的质量控制提供了参考。

Simultaneous Determination of 20 Flavonoid Glycosides and Terpenoid Lactones in Shuxuening Injection by Ultra high Performance Liquid Chromatography-Mass Spectrometry

A novel universal method based on artificial intelligence with fingerprints on multi elements and multi data was established for the identification of varieties of Chinese medicines.Firstly,the same medicinal material was treated by different methods to acquire the information of chemical substances with different properties.A universal liquid phase method,including reversed phase chromatography,hydrophilic chromatography and molecular exclusion chromatography was used to collect the chemical information.The three liquid phase methods were complementary to each other to fully characterize the small polar molecules,large polar molecules and macromolecular compounds in the medicinal material.Then,a model with the fingerprints on multi elements and multi data was established by convolutional neural network to identify the varieties of Chinese medicines.In addition,all the fingerprints were treated by a standard process.Finally,a model with a test set accuracy of 92% was obtained.This method could be applied to the rapid,accurate and efficient identification of Chinese medicines,overcoming the subjective consciousness in the variety identification of traditional Chinese medicines,and giving therefore the identification results more objective and accurate.