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Research of edible oil detection and variety distinguish based on voltammetric electronic tongue

机译:基于伏安电子舌的食用油检测与品种鉴别研究

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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.
机译:采用线性循环伏安法作为激发电势,通过基于电子舌的三个电极的伏安法测试12种不同的食用油。电流响应信号由金属电极传感器阵列收集。主成分分析(PCA)算法用于研究伏安电子舌中食用油的区分能力。在三种扫描电压激励下,伏安电子舌对各种油的分辨能力之间存在差异。当伏安电子舌在线性循环伏安法下工作时,分类结果更好。

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