目的 建立了基于仿生嗅觉技术的枳壳气味指纹图谱鉴别方法，为枳壳质量控制提供参考。方法 采用仿生嗅觉系统电子鼻（PEN3）检测不同产地枳壳气味信息，用线性判别分析（LDA）进行气味指纹图谱构建与分析，采用MATLAB 2013实现鉴别仿真。结果 不同产地枳壳气味指纹图谱的整体"相貌"是相似，但各自的特征指纹峰值有明显差异。建立的枳壳气味指纹图谱可实现对不同产地枳壳的已知样品和未知样品96%的准确分类。结论 该方法操作简单、重复性好、检测速度快，建立的枳壳气味指纹图谱可为其质量控制提供方法。

Objective To establish odor fingerprint determination method of Aurantii Fructus from different growing areas based on bionic olfaction technology, and provide the reference for the quality control of Aurantii Fructus. Methods The bionic olfactory system (electronic nose, PEN3) was used to measure the odor of Aurantii Fructus from different growing areas; The LDA (Linear discriminant analysis) method was used to determine its odor fingerprint, and the simulation for identification was realized based on MATLAB 2013. Results Although these odor fingerprints of Aurantii Fructus from different growing areas were similar, there were significant differences in peaks' value from each other. The established odor fingerprints can achieve the 96% identification accuracy between known and unknown samples. Conclusion The method is simple, accurate and repeatable, which can be used for quality control of Aurantii Fructus from different growing areas.

国家自然科学基金资助项目（61571140）；广东省公益基金资助项目（2016A020226018）；广东省中医药管理局项目（20161152）