目的:为菊科八味草药提供一种快速、准确的鉴定方法。方法:以菊科常用八味草药为研究对象,采用电子鼻技术建立其气味指纹图谱,结合数据挖掘技术(主成分分析法)建立判别模型。结果:基于气味指纹图谱建立的PCA判别模型,可用于菊科八味草药的鉴别。结论:电子鼻结合主成分分析法可望成为一种鉴别菊科草药的分析手段。 OBJECTIVE: To provide a rapid and accurate identification method for Compositae eight herbs. Methods: The eight herbaceous herbs commonly used in Compositae as the research object, the use of electronic nose technology to establish the odor fingerprint, combined with data mining techniques (principal component analysis) to establish discriminant model. Results: The PCA discriminant model based on odor fingerprinting can be used to identify Compositae eight herbs. Conclusion: Electronic nose combined with principal component analysis is expected to become an analytical tool to identify Asteraceae herbs.