Research of Edible Oil Detection and Variety Distinguish Based on Voltammetric Electronic Tongue

被引：0

作者：

Niu Qunfeng ^{[1
]}

Chen Shengsheng ^{[1
]}

Wang Li ^{[1
]}

Hui Yanbo ^{[1
]}

Wang Qiao ^{[1
]}

机构：

[1] Henan Univ Technol, Sch Elect Engn, Zhengzhou 450007, Peoples R China

来源：

2015 IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION | 2015年

关键词：

voltammetric electronic tongue; edible oil; scanning electric potential; principal component analysis; CARBON-PASTE ELECTRODES; VIRGIN OLIVE OILS; DISCRIMINATION; HONEY;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Linear cyclic voltammetry are adopted as excitation potentials to test 12 different varieties of edible oil by voltammetric electronic tongue-based structure of three electrodes. Current response signals are collected by metal electrode sensor array. Principal component analysis (PCA) algorithm is used to study the ability of distinguish of edible oil in voltammetric electronic tongue. There are differences among the distinguish abilities of voltammetric electronic tongue for various oil under three kinds of scanning voltages excitation. The classification results are better when voltammetric electronic tongue works under the linear cyclic voltammetery.

引用

页码：588 / 593

页数：6

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