| Identification of Chinese medicine is a classic subject, over the thousands of years, in the course of processing, the pharmaceutical workers determined the authenticity and the quantity of the medicine according to the appearance of medicine features, such as shape, surface color, odor and other characteristics, that "braided on quality ", which established a set of quality evaluation standard traits of traditional medicine. However, this identification system has a strong empirical, subjective, it is greatly limited in promotion and application in practice. For example, the odor of herb Atractylodes lancea(Thunb.) DC.is described as aromatic,and Atractylodes chinensis(DC) Koidz. As hong. First, each person's sense of smell will be biased, so that the description of subjective, with no uniform standards. In addition, this kind of herb is produced in many palces,its shape, color, smell and other characteristics are quite different, there are large differences in intrinsic quality, the subjective and objective to distinguish between the smell of the herb can not describe the difference. Third, the storage time on volatile components of traditional Chinese medicine contains a lot of great influence on the quality, how to evaluate the quality of herbs whose storage time is unknown and how to determine the herb's "Storage Period " has always been a difficult question.Aimed to the above problems, we need an modern means make identification of traditional evaluation criteria more digital and objective. This subject will introduce the electronic nose in the evaluation of the herb, use it "smell"to measure sample of different species, different habitats and different storage time, develop the discriminant model, make classification and discrimination.Identification can be used in the traditional experience Statistical standards for quality control, such as select high quality products for electronic nose. Because of medicine's "smell" ralated to the chemical composition, the establishment of headspace GC-MS fingerprint of volatile components in the herb can make clear the types and composition of active ingredients, combined with the traditional experience of identification of the sample.Conclusions:(1) Analyse TLC fingerprint of Atractylodin, atractylone, hinesol andβ-eudesmol spots, reflect the herb difference of chemical composition in different varieties. Atractylodes lancea(Thunb.) DC. and Atractylodes chinensis(DC.) Koidz. has Atractylodin and Atractylodes Japonica Koidz.ex Kitam. has little. So Atractylodin Herbs can be used as the characteristics of the herb ingredients. Atractylodes lancea(Thunb.) DC. has bigger hinesol andβ-eudesmol spots, Atractylodes Japonica Koidz.ex Kitam. has bigger atractylone spot, and Atractylodes chinensis(DC) Koidz.'s Atractylodin spot is bigger.(2)Electronic nose detects smells with full extraction of the sample to ensure that the maximum value of the sensor response, And maximum possible to find characteristics of different varieties and different areas,Established DFA discriminant model for different species, different habitats and different storage time herb samples.It can be used in the the classification and discrimination for unknown species, unknown origin and storage time herb samples.Meanwhile, establish SQC model with Atractylodes lancea(Thunb.) DC. as an indicator. Accordance with the standards Identification of traditional Chinese medicine, select high-quality samples:Atractylodes chinensis(DC) Koidz. of chengde2,3,4,6,neimeng3,laiyuan,shanxi,zhangjiakou,anguo. Second is chengde1,dongbei1,2,3,neimeng1,2. Atractylodes Japonica Koidz.ex Kitam. samples are worst.(3)Headspace GC-MS fingerprint of ten samples, made the identification of 96 volatile compounds.Choose higher level and pharmacological activite volatile ingredients:hinesol and (3-eudesmol and atractylone as index,use SPSS software do cluster analysis, samples were divided into three categories which was related to the results of electronic nose. Hinesol andβ-eudesmol and atractylone can be seen as characteristics of the high quality herb.It also shown that the Ratio of them in Hubei Wild lancea is 6.825:5.025:1.(4) HPLC results:①Atractylodes chinensis(DC) Koidz.'has more Atractylodin than Atractylodes lancea(Thunb.) DC. SPSS divided samples into two categories, Atractylodes Japonica Koidz.ex Kitam. was alone, and Atractylodes lancea(Thunb.) DC. and Atractylodes chinensis(DC.)Koidz. Were not fully distinguished. Detect the Atractylodin in Atractylodes chinensis(DC.)Koidz. samples of anguo,chengde5 and laiyuan During the seven months storage time, the trends of atractylodin correlate with storage time were:y=0.0032x2-0.0399x+0.6278,R2=0.9815; y=0.0055x2-0.0665x+0.7472, R2=0.9862,; y=0.0043x2-0.0577x+0.668, R2=0.9968.They can be used to guide the storage of the herb.②Analyzed atractyloside A contents in 29 herb samples. Authentic herb (Atractylodes lancea(Thunb.) DC.and Atractylodes chinensis(DC) Koidz.) in the percentage 2% or more, and Atractylodes Japonica Koidz.ex Kitam. is much lower.Results show that the three species were significantly different, it was consistent with the SPSS cluster analysis. ②HPLC fingerprint:chose wild Hubei 1 Atractylodes lancea(Thunb.) DC. fingerprint as control, the other hubei sapmles are 0.942 and 0.785,shows that storage and Cultivation Environment makes difference. Samples from Henan was 0.904,0.751 and0.751,shows Different origin makes even more difference.Chose wild Shanxi Atractylodes chinensis(DC.) Koidz. fingerprint as control, the other Chengde sapmles are 0.786,0.839,0.916,0.864,0.784 and 0.686, dongbei sapmles are 0.814,0.825 and 0.820, neimeng sapmles are 0.767,0.707 and 0.824, zhangjiakou,laiyuan and anguo samples are 0.91,0.96 and 0.915,more close with shanxi.The HPLC fingerprint of Atractylodes Japonica Koidz.ex Kitam. has much difference with Atractylodes lancea(Thunb.) DC. and Atractylodes chinensis(DC.) Koidz.,The peaks of the species are also different. Besides (3), the pattern of similarity with the control samples reached 0.9 or more, shows that the HPLC fingerprint off the herb can evaluate the quality of the Atractylodes Japonica Koidz.ex Kitam..Through SPSS cluster analysis of fingerprints, the samples were divided into three categories, which were related to electronic nose results. Electronic nose as a guide to the results of the fingerprints established, can be used to evaluate the quality of different varieties and origins samples. SPSS cluster analysis of fingerprints of the herb is based on the overall chemical composition, it was reflect of integrated quality,can be combined with an electronic nose evaluate the quality of the herb. |