文献类型：期刊文献

英文题名：Fabrication of electronic nose system and exploration on its applications in mango fruit (M-indica cv. Datainong) quality rapid determination

作者：Shao Lihuan[1];Wei Liu[3];Zhang Xiaohong[1];Hui Guohua[4];Zhao Zhidong[1,2]

机构：[1]Hangzhou Dianzi Univ, Coll Elect & Informat, Hangzhou 310018, Zhejiang, Peoples R China;[2]Hangzhou Dianzi Univ, Hangdian Smart City Res Ctr Zhejiang Prov, Hangzhou 310018, Zhejiang, Peoples R China;[3]East China Univ Sci & Technol, Shanghai 200237, Peoples R China;[4]Zhejiang A&F Univ, Sch Informat Engn, Hangzhou 311300, Zhejiang, Peoples R China

年份：2017

卷号：11

期号：4

起止页码：1969

外文期刊名：JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION

收录：;EI(收录号：20172603843916);WOS:【SCI-EXPANDED(收录号:WOS:000413303100048)】；

基金：This work is supported by Public Welfare Technology Application Research Project of Zhejiang Province (Grant No. 2017C31010).

语种：英文

外文关键词：Mango fruit quality; Rapid determination; Electronic nose; Stochastic resonance; Eigen value

摘要：Mango (M. indica cv. Datainong) fruit quality rapid determination method based on electronic nose (E-nose) was investigated in this research. E-nose responses to mangoes stored at room temperature were examined for 9 days. Meanwhile, physicochemical and microbiological indexes including firmness, weight loss, surface colour, yellowing rate, pH, total soluble solids, polyphenol oxidase activity and total viable counts were measured to provide quality references for E-nose analysis. Principal component analysis (PCA) and stochastic resonance (SR) were utilized for E-nose data analysis. Results indicated that mango fruit quality decreased sharply during storage. PCA just allowed qualitative quality discrimination, while SNR spectrum using eigen values successfully characterized mango quality. Mango quality predictive model was developed by linear fitting SR eigen values. Validation experiment results demonstrated that the forecasting accuracy of the developed model reached 90%.