Analysis on Feasibility of Electronic Nose Technology for Identification of Fritillariae Cirrhosae Bulbus from Authenticity and Specifications
10.13422/j.cnki.syfjx.20210486
- VernacularTitle:电子鼻技术应用于川贝母真伪及规格辨识的可行性分析
- Author:
Wen-hao FENG
1
;
Liang-yu TIAN
1
;
Jun-han SHI
2
;
Xin-jing GUI
2
;
Hui-jie ZHANG
1
;
Pu ZHANG
1
;
Yuan-yuan LI
1
;
Lu ZHANG
2
;
Yan-li WANG
2
;
Jing YAO
2
;
Xue-lin LI
2
;
Rui-xin LIU
2
Author Information
1. Henan University of Chinese Medicine，Zhengzhou 450008，China
2. Engineering Research Center for Modernization of Clinical Application of Chinese Herbal Pieces， The First Affiliated Hospital of Henan University of Chinese Medicine，Zhengzhou 450000，China
- Publication Type:Research Article
- Keywords:
electronic nose;
Fritillariae Cirrhosae Bulbus;
authenticity;
specifications;
discrimination model;
chemometrics;
Fritillariae Ussuriensis Bulbus
- From:
Chinese Journal of Experimental Traditional Medical Formulae
2021;27(13):108-118
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To establish a new fast and accurate method for identifying the authenticity and specifications of Fritillariae Cirrhosae Bulbus based on electronic nose technology， and to discuss the feasibility of this technology in the identification of decoction pieces. Method:Fritillariae Cirrhosae Bulbus was used as the research object， 80 batches of samples to be tested were collected， and the olfactory sensory data of the electronic nose were taken as independent variables （X）， the results of the method contained in the 2020 edition of Chinese Pharmacopoeia were taken as the focus， and the traditional empirical identification results were used as benchmarking information （Y）. Four chemometric methods， including discriminant analysis （DA）， least square support vector machine （LS-SVM）， principal component analysis-DA （PCA-DA） and partial least squares-DA （PLS-DA）， were used to establish the identification model ［Y=F（X）］ of authenticity and commodity specifications of Fritillariae Cirrhosae Bulbus， respectively. Wherein， the identification accuracy and time-consuming was taken as indicators to discuss the results. Result:After cross-verification by leave-one-out method， the correct rates of the above four models were 93.75%， 91.25%， 95.00% and 95.00%， respectively， and the PCA-DA and PLS-DA identification models were the best in terms of authenticity identification. In specification identification， the correct rates of these four models were 86.67%， 88.00%， 89.33% and 68.00%， respectively， and the PCA-DA identification model was the best. The electronic nose had a high accuracy in the identification of authenticity and specification model， and the time consuming was relatively short. Conclusion:Electronic nose technology can identify Fritillariae Cirrhosae Bulbus accurately and quickly， and has significant advantages in terms of timeliness and correct judgment rate.
