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Low-Cost Electronic Tongue System and Its Application to Explosive Detection

机译:低成本电子舌系统及其在爆炸物检测中的应用

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摘要

The use of biomimetic measurement systems as electronic tongues and noses has considerably increased in the last years. This paper presents the design of a low-cost electronic tongue system that includes a software application that runs on a personal computer and electronic equipment based on a 16-b microcontroller. The designed system is able to implement voltammetry and impedance spectroscopy measurements with different-electrode configurations. The data obtained from the electrochemical measurements can be used to build statistical models able to assess physicochemical properties of the samples. The designed system has been applied to the detection and quantification of trinitrotoluene (TNT), which is one of the most common explosive materials. Pulse voltammetry measurements were carried out on TNT samples with different concentration levels. The principal component analysis of the obtained results shows that the electronic tongue is able to detect TNT in acetonitrile samples. Prediction models were built with partial least squares regression, and a good correlation was observed between the pulse voltammetry measurements and the TNT concentration levels. In this experience, a new voltammetric data compression algorithm based on polynomial approximations has been tested with good results. The electronic tongue has also been applied to the prediction of water quality parameters in wastewater and to the evaluation of different-pulse array designs for pulse voltammetry experiences.
机译:近年来,仿生测量系统作为电子舌头和鼻子的使用已大大增加。本文提出了一种低成本的电子舌系统的设计,该系统包括在个人计算机和基于16-b微控制器的电子设备上运行的软件应用程序。设计的系统能够用不同的电极配置实现伏安法和阻抗谱测量。从电化学测量获得的数据可用于建立能够评估样品理化性质的统计模型。设计的系统已应用于三硝基甲苯(TNT)的检测和定量,这是最常见的爆炸材料之一。脉冲伏安法测量是在具有不同浓度水平的TNT样品上进行的。所得结果的主成分分析表明,电子舌能够检测乙腈样品中的TNT。利用偏最小二乘回归建立了预测模型,并且在脉冲伏安法测量值与TNT浓度水平之间观察到了良好的相关性。以此经验,已经测试了基于多项式逼近的新型伏安数据压缩算法,并取得了良好的效果。电子舌也已用于预测废水中的水质参数,并用于评估脉冲伏安法经验的不同脉冲阵列设计。

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