Huiqin Zou, Yu Han, Shu Xing, Queyue Lin, Zedong Wei, Yin Xiong, Yonghong Yan
{"title":"Electronic Nose and Its Application in Chinese Materia Medica","authors":"Huiqin Zou, Yu Han, Shu Xing, Queyue Lin, Zedong Wei, Yin Xiong, Yonghong Yan","doi":"10.1016/S1876-3553(13)60017-4","DOIUrl":null,"url":null,"abstract":"<div><p>Electronic nose (E-nose) is a rapid, simple, sensitive and accurate technology for the quality evaluation of Chinese materia medica (CMM). In this paper, several CMM samples of different species, habitats, storage time, and so on were analyzed by E-nose. Based on experimental data, specific discrimination model was established according to specific research target using different pattern recognition algorithms including PCA, DFA, PLS, BP-ANN and so on. It showed that the models were reliable and stable. It was concluded that E-nose can be applied to effectively extract and analyze the odor traits of CMM. It is a unique and useful tool for research on the identification, quality control and validity evaluation of CMM.</p></div>","PeriodicalId":101287,"journal":{"name":"World Science and Technology","volume":"14 6","pages":"Pages 2120-2125"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S1876-3553(13)60017-4","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"World Science and Technology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1876355313600174","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
Electronic nose (E-nose) is a rapid, simple, sensitive and accurate technology for the quality evaluation of Chinese materia medica (CMM). In this paper, several CMM samples of different species, habitats, storage time, and so on were analyzed by E-nose. Based on experimental data, specific discrimination model was established according to specific research target using different pattern recognition algorithms including PCA, DFA, PLS, BP-ANN and so on. It showed that the models were reliable and stable. It was concluded that E-nose can be applied to effectively extract and analyze the odor traits of CMM. It is a unique and useful tool for research on the identification, quality control and validity evaluation of CMM.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
