Identification of the Origin of Schizonepeta tenusfolia Based on “Odor”Information / 中国药房

ABSTRACT

OBJECTIVE：To esta blish the m ethod for identifying Schizonepeta tenusfolia from different habitats based on odor information. METHODS ：The odor of S. tenusfolia from different habitats were identified by Heracles Ⅱ ultra-fast gas phase electronic nose. Qualitative analysis was conducted according to obtained chromatographic information combined with AroChemBase database and Kovats retention index qualitative database. Principle component analysis （PCA）and discriminant factor analysis （DFA）were conducted by using Alpha Soft V 14.2 software，and cluster analysis （CA）was performed with SPSS 22.2 software. RESULTS ：There were 16 common peaks in 15 batches of S. tenusfolia from different habitats. After comparison with AroChemBase database and Kovates retention index qualitative database ，a total of 13 possible components were obtained. The possible components and sensory description information of S. tenusfolia from different habitats were basically the same ，but only the content was different. The chromatographic peak intensities of common peak No. 2 were in descending order as Anhui ＞ Gansu＞Henan＞Hebei＞Jiangsu，the chromatographic peak intensities of common peak No. 6 were in descending order as Anhui ＞ Hebei＞Gansu≈Henan＞Jiangsu，the chromatographic peak intensities of common peak No. 9 were in descending order as Anhui ＞ Gansu＞Henan＞Jiangsu＞Hebei，the chromatographic peak intensity of common peak No. 13 were in descending order as Anhui ≈ Gansu＞Hebei＞Jiangsu＞Henan，which represented the chromatographic peak intensity of methyl formate （peak No. 2），α-pinene （peak No. 6），3-nonone（peak No. 9）and α-terpineol（peak No. 13）were significantly different due to the change of habitats. PCA results showed that the cumulative contribution rate of the first two principal components was 96.807％. Results of DFA showed that contribution rates of discriminant factor 1 and discriminant factor 2 were 92.089％ and 3.982％. CA results showed that when the distance was 10，15 batches of samples could be clustered into 3 categories，B1-B5 and J 1-J3 into one category ，A1-A3 into one category ，G1，G2，N1 and N 2 into one category. The results were basically consistent with those of PCA and DFA. CONCLUSIONS：Ultra-fast gas phase electronic nose technology can be used to identify S. tenusfolia from different habitats rapidly. Methyl formate ，α-pinene，3-nonone and α-terpineol may be the key factors to distinguish S. tenusfolia from different habitats.