基于超快速气相电子鼻对不同硫熏程度天麻的快速鉴别  

Rapid Identification of Gastrodiae Rhizoma with Different Sulfur Fumigation Levels Based on Ultra-fast Gas Phase Electronic Nose

作　　者：殷珍珍 梁玉芝 王梦[1] 张玖捌 李昱 陆兔林[1] 毛春芹[1] 董佳佳 李林[1] YIN Zhenzhen;LIANG Yuzhi;WANG Meng;ZHANG Jiuba;LI Yu;LU Tulin;MAO Chunqin;DONG Jiajia;LI Lin(School of Pharmacy,Nanjing University of Chinese Medicine,Nanjing 210023,China;Jiangsu Key Laboratory of Chinese Medicine Processing,Nanjing 210023,China)

机构地区：[1]南京中医药大学药学院,南京210023 [2]江苏省中药炮制重点实验室,南京210023

出　　处：《中国实验方剂学杂志》2022年第13期167-172,共6页Chinese Journal of Experimental Traditional Medical Formulae

基　　金：国家重点研发计划项目(2018YFC1707000,2017YFC1701900)。

摘　　要：目的:通过超快速气相电子鼻技术对不同硫熏程度天麻进行气味识别,以期寻求一种基于气味快速鉴别硫熏天麻的方法。方法:利用Heracles NEO型超快速气相电子鼻采集未硫熏和不同硫熏程度天麻饮片的气相色谱图,气相色谱条件为程序升温(初始温度40℃,以0.2℃·s^(-1)升温至60℃,再以4℃·s^(-1)升温至250℃),进样量5 mL,孵化温度65℃,孵化时间35 min,结合Kovats保留指数和AroChemBase数据库进行定性分析,并以此为基础进行化学计量学分析,建立主成分分析(PCA)、判别因子分析(DFA)和偏最小二乘法-判别分析(PLS-DA)等模型,达到对不同硫熏程度天麻饮片进行有效鉴别的目的。结果:根据AroChemBase数据库对比分析,硫熏天麻和未硫熏天麻气味特征差异大,环戊烷、丙酮、庚烷可能是鉴别天麻饮片硫熏与否及硫熏程度的气味成分。PCA模型识别指数81,DFA模型的判别因子累计区分指数92.09%,PLS-DA模型的监督模型解释率0.963,预测能力参数0.956,说明PCA、DFA和PLS-DA模型均能较好地区分不同硫熏程度的天麻饮片。结论:Heracles NEO型超快速气相电子鼻可用于快速鉴别和区分不同硫熏程度天麻饮片,可为中药饮片的硫熏鉴别提供快速、简便、绿色的新方法和新技术。Objective:In order to find a fast odor-based method for the identification of sulfur fumigated Gastrodiae Rhizoma,an ultra-fast gas phase electronic nose technology was used to identify the odors of different degrees of sulfur fumigated Gastrodiae Rhizoma decoction pieces.Method:Heracles NEO ultra-fast gas phase electronic nose was employed to collect gas chromatograms of unsulfured and sulfured with different degrees of Gastrodiae Rhizoma decoction pieces,gas chromatograms were performed under programmed temperature(initial temperature of 40℃,0.2℃·s^(-1)to 60℃,and then 4℃·s^(-1)to 250℃),the sample volume was 5 mL,the incubation temperature was 65℃and incubation time was 35 min.Kovats retention index and the AroChemBase database were used for qualitative analysis,and stoichiometric analysis was performed on this basis.Principal component analysis(PCA),discriminant factor analysis(DFA)and partial least squares-discriminant analysis(PLS-DA)models were established to identify the Gastrodiae Rhizoma decoction pieces with different degrees of sulfur fumigation.Result:According to the comparative analysis of AroChemBase database,there were significant differences in the odor characteristics of sulfur fumigated and non-sulfur fumigated Gastrodiae Rhizoma,cyclopentane,acetone and heptane might be the odor components to distinguish the degree of sulfur fumigation in Gastrodiae Rhizoma decoction pieces.The identification index of PCA model was 81,the accumulative discriminant index of the discriminating factors was 92.09%in DFA model,the supervisory model interpretation rate of PLS-DA model was 0.963 and the predictive ability parameter was 0.956,indicating that PCA,DFA and PLS-DA models could well distinguish Gastrodiae Rhizoma decoction pieces with different sulfur fumigation degrees.Conclusion:Heracles NEO ultra-fast gas phase electronic nose can be used as a rapid method to identify and distinguish Gastrodiae Rhizoma decoction pieces with different levels of sulfur fumigation.Meanwhile,it can provide a ra

关 键 词：天麻 硫磺熏蒸 超快速气相电子鼻 环戊烷 丙酮 化学模式识别方法 挥发性成分 

分 类 号：R22[医药卫生—中医基础理论] R28[医药卫生—中医学] R931[理学—分析化学] O657.7[理学—化学]