Synchronous Sensing Analysis Based on Nonmodified Multi-Metal Sensor for Five Tastes

文献类型： 外文期刊

第一作者： Lu, Lin

作者： Lu, Lin;Hu, Xianqiao;Zhu, Zhiwei

作者机构：

关键词： Taste stimulus; Synchronous sensing; Voltammetry; Nonmodified sensor

期刊名称：INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE （ 影响因子：1.765； 五年影响因子：1.685 ）

ISSN： 1452-3981

年卷期： 2018 年 13 卷 6 期

页码：

收录情况： SCI

摘要： This paper deals with a synchronous sensing analysis for five tastes namely sweetness, bitterness, sourness, saltiness, astringency by qualitatively and quantitatively analyzing taste stimuli with nonmodified multi-metal sensor, which has the advantage of being rapid, easy and simultaneous. Eight metal electrodes that were easily available constituted the electrode array. Cyclic voltammetry (CV) and differential pulse voltammetry (DPV) were employed. The original voltammetric signals were transformed by Continuous Wavelet Transform (CWT) in order to reveal more feature information for sensing taste stimuli. The data of feature points from the transformed signal as the input were used for neural network model. Polar Phasor Approach was used to classify and locate single taste. It was resulted that Layer-Recurrent neural network could effectively identify the types of mixed tastes. The response areas of eight electrodes for five tastes in oxidation part and reduction part of CV and DPV were visually characterized. Combining CV with DPV, the accuracies of the training set and test set were both more than that of single voltammetry, confirming that Back Propagation neural network could quantitatively analyze each taste of the mixture. Moreover, the advantages of nonmodified sensor compared with modified sensor were discussed. It was concluded that synchronous sensing analysis has strong ability to sensing the five tastes accurately and simultaneously as human gustation.

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