基于电子鼻的中药材鉴别新方法研究

目的：运用德国Airsense公司制造的便携式电子鼻PEN3提取中药材挥发的气味信息来建立气味指纹图谱,以实现岭南道地药材的鉴别。方法：选取传感器稳定后的合适实验数据,分别应用主成分分析（PCA）和线性判别分析（LDA）这两类模式分析方法识别苍术、佛手、高良姜、广陈皮、广木香、化橘红、香薷、徐长卿、阳春砂等9种岭南道地药材。结果：数据实验表明,采用LDA分析法的识别率达到100%。而采用PCA分析法时,图中每类样品主要呈带状分布,其集中度远不如LDA分析法,且香薷和阳春砂出现部分样本点交叉分布的现象。结论：采用电子鼻系统PEN3及LDA分析方法能够很好地鉴别不同品种的中药材,具有一定的实际意义和应用价值。

Study of a New Method for Identification to Chinese Herbal Medicine Based on Electronic Nose

Objective：The objective in this study is to differentiate varieties of Chinese Herbal medicine in the south of the Five Ridges based on an electronic nose PEN 3 from Airsense Company in Germany,which can exploit information on behavior aroma of different Chinese Herbal medicine.Methods：It used suitable empirical data after the sensors stability and two pattern analysis.Principal component analysis（PCA）and linear discriminant analysis（LDA）were used to investigating nine kinds of different Chinese Herbal medicine in the south of the Five Ridges such as Rhizoma Atractylodis,bergamot,Lesser Galangal Rhizome,citrus chachiensis hortorum,CostusRoot,PummeloPeel,Chinese Mosla Herb,Paniculate Swallowwort Root,Amomum villosum Lour,and so on.Result：The experimental data approve that the system can classify 100% of the total samples using LDA analysis.But,the concentration ratio of those sample distribution map using PCA analysis is lower than using LDA analysis.Some sampling point of Chinese Mosla Herb and Amomum villosum Lour rise up cross-distribution phenomenon in PCA analysis.Conclusion：The results obtained prove that the electronic nose PEN 3 using LDA analysis can discriminate successfully different Chinese Herbal medicine.The technology and method have some meaning and applied value.