基于HPLC-Q-TOF-MS技术的姜半夏及其伪品姜水半夏的鉴别研究  

Study on the Identification of Pinelliae Rhizoma Praeparatum Cum Zingibere Et Alumine and Rhizoma Typhonii Flagelliformis Cum Zingibere Et Alumine Based on HPLC-Q-TOF-MS Technology

作　　者：刘宏 彭娟[2] 袁芳淼 邹洪平 张海鸣[2] 范斌[2] LIU Hong;PENG Juan;YUAN Fangmiao;ZOU Hongping;ZHANG Haiming;FAN Bin(Guangzhou Baiyunshan Guanghua Pharmaceutical Co.,Ltd.,Guangzhou 510285,China;Medical Experimental Center,China Academy of Chinese Medical Sciences,Beijing 100700,China)

机构地区：[1]广州白云山光华制药股份有限公司,广州510285 [2]中国中医科学院医学实验中心,北京100700

出　　处：《中国中医基础医学杂志》2024年第8期1387-1392,共6页JOURNAL OF BASIC CHINESE MEDICINE

基　　金：国家自然科学基金项目(82304737);中央级公益性科研院所基本科研业务费专项(JJPY2022015);广州市科技计划项目(202206010112)。

摘　　要：目的基于高效液相色谱四极杆飞行时间质谱(high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry,HPLC-Q-TOF-MS)联用技术结合化学计量学建立姜半夏和姜水半夏的鉴定方法。方法采用Agilent Poroshell 120 SB-C_(18)(2.1×150 mm,2.7μm)色谱柱,以甲醇-5 mmol/L乙酸铵溶液为流动相,0.3 mL/min流速梯度洗脱。电喷雾离子化源、QTOF作为检测器,正离子模式检测。Profinder软件进行特征化合物提取。将Profinder软件导出的数据以PFA格式导入安捷伦代谢组学统计分析软件(mass profiler professional,MPP)。通过MPP软件的主成分分析,查找姜半夏和姜水半夏之间有显著性变化的化合物,以偏最小二乘法建立姜半夏真伪鉴别预测模型,预测样品的掺伪。结果筛选得到姜水半夏特有化合物237个,姜半夏特有化合物242个。建立了姜半夏真伪鉴别模型,在掺入一定比例姜水半夏时,模型能预测样品偏离,具有一定的预测性。结论该方法可为判别姜半夏的掺伪提供参考依据。Objective To establish a method for identification of Pinelliae Rhizoma Praeparatum cum Zingibere et Alumine(PRPZA)and Rhizoma Typhonii Flagelliformis cum Zingibere et Alumine(RTFZA)by high performance liquid chromatography quadrupole time-of-flight mass spectrometry(HPLC-Q-TOF-MS)combined with chemometrics.Methods Chromatograpic separation was performed on Agilent Poroshell 120 SB-C_(18)(2.1×150 mm,2.7μm)column with a mobile phase of methanol and 5 mmol/L ammonium acetate at a flow rate of 0.3 mL/min for gradient elution.QTOF equipped with ESI ion source was performed in positive ionization.Profinder software was used to extract characteristic compounds.The data exported from Profinder software were imported into Agilent metabolomics statistical analysis software(mass profiler professional,MPP)in PFA format.Through the principal component analysis of MPP software,the compounds with significant changes between PRPZA and RTFZA were found,and the partial least squares method was used to establish the authenticity identification prediction model of PRPZA to predict the adulteration of samples.Results A total of 242 compounds specific to PRPZA and 237 compounds specific to RTFZA were screened.The authenticity identification model of PRPZA was established.When a certain proportion of RTFZA was mixed,the model could predict the deviation of the sample and had certain predictability.Conclusion This method can provide a reference for judging the adulteration of PRPZA.

关 键 词：姜半夏 姜水半夏 HPLC-Q-TOF-MS 真伪鉴别 

分 类 号：R283[医药卫生—中药学]