食品与发酵工业2017,Vol.43Issue(11):207-211,5.DOI:10.13995/j.cnki.11-1802/ts.014646
基于zNoseTM电子鼻对不同品牌汾酒的快速识别
Rapid detection of different brands of Fenjiu with zNoseTM electronic nose
摘要
Abstract
Flavor is one of the most important criteria to identify Fenjiu brand.In view of the subjectivity of traditional tasters and the limitations of current instruments such as spectrometer and chromatograph,the Surface Acoustic Wave zNoseTMwas used to collect fingerprints of six different brands of Fenjiu.By comparing the difference of the fingerprint,characteristic peaks were extracted.The extracted feature data were analyzed by principal component analysis and discriminant factor analysis,and its accuracy was verified by Bayes discriminant function,and probabilistic neural network were utilized to establish the identification models.The results showed that the principal component analysis and discriminant factor analysis could distinguish different brands of Fenju,and the latter method was better than the former method.The probabilistic neural network model was established and the recognition rate was up to 100%.The study suggested that the Surface Acoustic Wave zNoseTM had good identification and classification ability for different brands of Fenjiu关键词
电子鼻/不同品牌汾酒/指纹图谱/概率神经网络Key words
zNoseTM/different brands of Fenjiu/fingerprint/probabilistic neural network引用本文复制引用
邓霞,李臻峰,王辉,宋飞虎,张鑫..基于zNoseTM电子鼻对不同品牌汾酒的快速识别[J].食品与发酵工业,2017,43(11):207-211,5.基金项目
国家自然科学基金(515082290) (515082290)
江苏省产学研联合创新资金(BY2014023-32) (BY2014023-32)
江南大学基本科研青年基金项目(1072050205134580) (1072050205134580)
江苏省食品先进制造装备技术重点实验室开放课题(BM2013001) (BM2013001)
江苏省食品先进制造装备技术重点实验室开放课题(FM-201406) (FM-201406)