Elsholtzia rugulosa Hemsl., a Chinese herbal medicine, may have the potential to treat COVID-19. The geographical origin has a significant influence on the quality and application of E. rugulosa. In this paper, gas chromatography-mass spectrometry (GC-MS) combined with principal component analysis (PCA) and hierarchical cluster analysis (HCA) and other multivariate statistical analyses were performed for the identification of E. rugulosa. origins. The results showed that the volatile components of E. rugulosa. from different origins were significantly different. PCA and HCA can clearly distinguish the E. rugulosa of Lijiang and Fumin, and Dali and Yongsheng can be distinguished but with a certain overlap. The correlation of different components of was investigated by Pearson correlation. The results showed that E. rugulosa. characteristic component Elsholtzia ketone is regulated by terpenoid metabolism. The discriminant functions of different origins are constructed by Fisher stepwise discrimination, and its initial verification accuracy and leave-one-out cross-validation accuracy were 100% and 87.5%, respectively.

中文翻译：

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GC-MS 结合多变量分析确定香菇的地理来源。在云南省

中草药Elsholtzia rugulosa Hemsl. 可能具有治疗 COVID-19 的潜力。地理来源对E. rugulosa的质量和应用有显着影响。本文采用气相色谱-质谱法（GC-MS）结合主成分分析（PCA）和层次聚类分析（HCA）等多变量统计分析方法对毛茛的鉴定进行了分析。起源。结果表明，E. rugulosa的挥发性成分。来自不同的产地有显着差异。PCA 和 HCA 可以清楚地区分E. rugulosa丽江和富民，大理和永胜可以区分，但有一定的重叠。通过皮尔逊相关性研究不同成分的相关性。结果表明，E. rugulosa。特征成分香樟酮受萜类代谢调节。通过Fisher逐步判别构造不同来源的判别函数，其初始验证准确率和留一法交叉验证准确率分别为100%和87.5%。