Abstract: OBJECTIVE To distinguish Moutan Cortex from different origins by using electronic nose technology. METHODS The optimal conditions for the electronic nose measurement of Moutan Cortex were determined by single-factor and orthogonal test, and the sensor's ability to distinguish Moutan Cortex samples was analyzed by using the loading analysis method. The results of Moutan Cortex from different origins were analyzed by using principal component analysis and linear discriminant analysis. RESULTS The optimal test parameters for the measurement of Moutan Cortex by using electronic nose were as follows:sample quantity was 3.0 g, air flow rate was 300 mL·min^-1, and the sample placement time was 10 min. In addition, the distinction degree were all>0.980. The No. 7 sensor W1W and the No. 2 sensor W5S contributed the most to the first principal component and the second principal component respectively. Through odor recognition, Moutan Cortex from three different main producing areas in Bozhou, Tongling and Chongqing could be distinguished by using electronic nose technology, but the distinction degree between different producing areas in Bozhou was not obvious. CONCLUSION Combined electronic nose technology with odor recognition, Moutan Cortex from different origins could be effectively distinguished, the detection method provides a new idea for the rapid and simple identification of Moutan Cortex from different origins.