Detection of pork freshness using a novel wirless electronic nose

被引：0

作者：

Zhou, Hong-Biao ^{[1
]}

Zhang, Yu-Lin ^{[1
]}

Li, Shan ^{[1
]}

Xia, Yun ^{[1
]}

机构：

[1] Faculty of Electronic and Electrical Engineering, Huaiyin Institute of Tech., Huaian 223003, China

来源：

Modern Food Science and Technology | 2013年 / 29卷 / 06期

关键词：

Principal component analysis - Data handling - Meats - Electronic nose;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

The detecting possibility of a novel wineless electronic nose were explored for 5 different freshness pork samples, which was designed with the STM32 and CC2430. Data processing included extracting the steady-state response after smoothing, and using principal component analysis and probabilistic neural network to establish model for freshness recognition. The results showed that contribution rate of the first two principal components total reached 92.79%. Classification effect is obvious and the identification rate of probabilistic neural network model achieved 100%.

引用

页码：1386 / 1389