基于HS-GC-MS和电子鼻技术的不同产地旋覆花挥发性成分差异分析  

Differential Analysis of Volatile Components of Inulae Flos from Different Producing Areas Based on HS-GC-MS and Electronic Nose Technology

作　　者：赵玉珍 解泽阳 高乐 王相 田伟 牛丽颖 ZHAO Yuzhen;XIE Zeyang;GAO Le;WANG Xiang;TIAN Wei;NIU Liying(School of Pharmacy,Hebei University of Chinese Medicine,Shijiazhuang 050200,China;Hebei Technology Innovation Center for Traditional Chinese Medicine(TCM)Formula Granule,Hebei Engineering Research Center for Quality Evaluation&Standardization of TCM,Hebei University of Chinese Medicine,Shijiazhuang 050091,China)

机构地区：[1]河北中医药大学药学院,石家庄050200 [2]河北中医药大学河北省中药配方颗粒技术创新中心,中药材品质评价与标准化河北省工程研究中心,石家庄050091

出　　处：《中国实验方剂学杂志》2024年第16期170-176,共7页Chinese Journal of Experimental Traditional Medical Formulae

基　　金：河北省自然科学基金中医药联合基金重点项目(H2022423335);河北省重点研发计划项目(23372502D);河北省中医药管理局项目(2020138)。

摘　　要：目的:通过分析不同产地旋覆花的挥发性成分及气味的差异,为完善旋覆花的质量评价方法提供参考。方法:收集山东德州、山东平邑、河南安阳、河北4个产区共20批旋覆花样品,利用PEN型电子鼻识别各样品气味信息,运用主成分分析(PCA)与方差分析多重比较对不同产地间气味的差异性进行辨识。利用顶空气相色谱-质谱法(HS-GC-MS)对不同产地旋覆花样品的挥发性成分进行鉴定与相对定量,并采用PCA和偏最小二乘法-判别分析(PLS-DA)对不同产地间挥发性成分的差异性进行分析,根据变量重要性投影(VIP)值>1且P<0.05的原则筛选得到不同产地旋覆花的挥发性差异成分。运用PCA相关性分析及Person相关性分析分别探究挥发性差异化合物和电子鼻传感器与产地间的关联,以及电子鼻传感器与挥发性差异化合物间的关联。结果:不同产地旋覆花气味差异主要体现在W1W、W2W、W5S传感器,电子鼻数据的PCA结果表明能较好区分河北产区的旋覆花样品。采用HS-GC-MS共检测出48个挥发性成分,主要包含醛类、烯烃类、羧酸类、芳香类和醇类。PCA与PLS-DA结果表明不同产区具有明显差异,并筛选出19个差异化合物,其中以正己醛相对含量最高;挥发性差异化合物与产地相关分析得到15个成分可作为区分产地的特征性成分;电子鼻传感器与产地相关性分析结果表明W1W传感器与河北产区相关性最强,可作为河北与其他产区显著区分的标志,W2W、W5S传感器与山东德州、河南安阳产区相关性较强。W1W、W2W、W5S传感器与差异化合物的Person相关性分析表明气味产生的物质基础为糠醛、2-正戊基呋喃、正己醛、芳樟醇及3-甲基-1-戊醛,可将其作为区分不同产地主要的气味物质。结论:该研究利用HS-GC-MS联合电子鼻技术能够较好地区分不同产地的旋覆花。筛选出的15个挥发性差异化合物及5个气味物质基础可为旋Objective:To analyze the differences in volatile components and odors of Inulae Flos from different regions,providing reference for improving the quality evaluation method of this herb.Method:A total of 20 batches of Inulae Flos samples were collected from four production areas of Dezhou(Shandong),Pingyi(Shandong),Anyang(Henan)and Hebei,and the odor information of each sample was identified by PEN electronic nose,and principal component analysis(PCA)and analysis of variance with multiple comparisons were used to identify the differences in odors of the samples among different regions.Headspace gas chromatography-mass spectrometry(HS-GC-MS)was used to identify and quantify the volatile components of samples from different regions,and PCA and partial least squares-discriminant analysis(PLS-DA)were employed to analyze the differences in volatile components of the samples among different regions.According to the principle of variable importance in the projection(VIP)value>1 and P<0.05,the volatile differential components of Inulae Flos from different regions were screened.After that,PCA correlation analysis and Person correlation analysis were applied to explore the correlation between volatile differential compounds and electronic nose sensors with their origin,as well as the correlation between electronic nose sensors and volatile differential compounds.Result:The difference in odor is mainly reflected in W1W,W2W and W5S sensors,and the PCA results of electronic nose data indicated that they could be better differentiated the samples of Inulae Flos from Hebei.A total of 48 volatile components were detected by HS-GC-MS,mainly including aldehydes,olefins,carboxylic acids,aromatics and alcohols.Meanwhile,the results of PCA and PLS-DA showed that there were significant differences among different regions,and 19 differential compounds were screened out,among which the relative content of n-hexanal was the highest.The correlation analysis between volatile differential compounds and production areas obtained 15 characteri

关 键 词：旋覆花 挥发性成分 电子鼻 顶空气相色谱-质谱法(HS-GC-MS) 产地 气味物质基础 质量评价 

分 类 号：R22[医药卫生—中医基础理论] R931[医药卫生—中医学] R28[理学—分析化学] O657[理学—化学]