Visualized attribute analysis approach for characterization and quantification of rice taste flavor using electronic tongue

文献类型： 外文期刊

第一作者： Lu, Lin

作者： Lu, Lin;Hu, Xianqiao;Zhu, Zhiwei;Tian, Shiyi;Deng, Shaoping

作者机构：

关键词： Voltammetric electronic tongue;Attributive analysis;Data preprocessing;Modeling

期刊名称：ANALYTICA CHIMICA ACTA （ 影响因子：6.558； 五年影响因子：6.228 ）

ISSN：

年卷期：

页码：

收录情况： SCI

摘要： This paper deals with a novel visualized attributive analysis approach for characterization and quantification of rice taste flavor attributes (softness, stickiness, sweetness and aroma) employing a multi-frequency large-amplitude pulse voltammetric electronic tongue. Data preprocessing methods including Principal Component Analysis (PCA) and Fast Fourier Transform (FFT) were provided. An attribute characterization graph was represented for visualization of the interactive response in which each attribute responded by specific electrodes and frequencies. The model was trained using signal data from electronic tongue and attribute scores from artificial evaluation. The correlation coefficients for all attributes were over 0.9, resulting in good predictive ability of attributive analysis model preprocessed by FFT. This approach extracted more effective information about linear relationship between electronic tongue and taste flavor attribute. Results indicated that this approach can accurately quantify taste flavor attributes, and can be an efficient tool for data processing in a voltammetric electronic tongue system. (C) 2016 Elsevier B.V. All rights reserved.

分类号： O65

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