Discrimination of Armeniacae Semen Amarum from different processed products and various rancidness degrees by electronic nose and support vector machine

GONG Jian-ting1 ZHAO Li-ying2 XU Dong3 LI Jia-hui3 CHEN Xin3 ZOU Hui-qin3 YAN Yong-hong3

(1.Beijing Institute of Chinese Medicine, Beijing, China 100035)
(2.Beijing Boda Lvzhou Medical Technology Co., Ltd., Beijing, China 101113)
(3.Beijing University of Chinese Medicine, Beijing, China 102488)

【Abstract】This study was aimed to develop a simple, rapid and reliable method for identifying Armeniacae Semen Amarum from different processed products and various rancidness degrees. The objective odor information of Armeniacae Semen Amarum was obtained by electronic nose. 105 batches of Armeniacae Semen Amarum samples were studied, including three processed products of Armeniacae Semen Amarum, fried Armeniacae Semen Amarum and peeled Armeniacae Semen Amarum, as well as the samples with various rancidness degrees: without rancidness, slight rancidness, and rancidness. The discriminant models of different processed products and rancidness degrees of Armeniacae Semen Amarum were established by Support Vector Machine(SVM), respectively, and the models were verified based on back estimation of blind samples. The results showed that there were differences in the characteristic response radar patterns of the sensor array of different processed products and the samples with different rancidness degrees. The initial identification rate was 95.90% and 92.45%, whilst validation recognition rate was 95.38% and 91.08% in SVM identification models. In conclusion, differentiation in odor of different processed and rancidness degree Armeniacae Semen Amarum was performed by the electronic nose technology, and different processed and rancidness degrees Armeniacae Semen Amarum were successfully discriminated by combining with SVM. This research provides ideas and methods for objective identification of odor of traditional Chinese medicine, conducive to the inheritance and development of traditional experience in odor identification.

【Keywords】 Armeniacae Semen Amarum; rancidness; processed products; electronic nose; odor; support vector machine;

【DOI】

【Funds】 National Natural Science Foundation of China (Grant No. 81573542, 81403054) Independent Subject Project of Beijing University of Chinese Medicine (Grant No. 2019-JYB-JS-006) Beijing Traditional Chinese Medicine Science and Technology Development Fund Project (Grant No. QN2018-20)

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This Article

ISSN:1001-5302

CN:11-2272/R

Vol 45, No. 10, Pages 2389-2394

May 2020

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Abstract

  • 1 Materials
  • 2 Methods
  • 3 Results
  • 4 Discussion
  • References