The Taste Sensors with Conductivity Measurement

Hung-Wei Chen, Yi-Mu Lee, Shen-Li Chen
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Abstract

There are many types of electrical signal that can be sensed from liquid solution. Among them conductivity signal is more suitable than voltage signal for the study of liquid. Thus, we choose conductivity as the target sense signal for the study of taste sensors. We developed a chemical sensors array with seven chemical sensors. There are two groups in the designed sensors. The first group is mainly made by the material of conductive polymer, the second group is made by the material of bio-mimic. A statistical method call “Principal Component Analysis” (PCA) is used to process the job of classified the tastes. The PCA results show the taste sensors array can distinguish four basic tastes in liquid. The experiment results show that four basic tastes are successful classified by principal component analysis. Six sport drinks are identified and classified in salt area. The results also show that quantities of salt sample can be analyzed by PCA method.
具有电导率测量的味觉传感器
从液体溶液中可以感应到多种类型的电信号。其中电导率信号比电压信号更适合于液体的研究。因此,我们选择电导率作为味觉传感器研究的目标信号。我们开发了一个由七个化学传感器组成的化学传感器阵列。所设计的传感器分为两组。第一组主要由导电高分子材料制成,第二组主要由生物模拟材料制成。一种叫做“主成分分析”(PCA)的统计方法被用来处理对味道进行分类的工作。主成分分析结果表明,味觉传感器阵列能够区分液体中的四种基本味觉。实验结果表明,主成分分析对四种基本口味进行了成功的分类。六种运动饮料在盐区被识别和分类。结果表明,主成分分析法可以对盐样量进行分析。
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