title: Visualized attribute analysis approach for characterization and quantification of rice taste flavor using electronic tongue.
abstract: 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 multifrequency 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.
authors.affiliation: Rice Product Quality Supervision and Inspection Center, Ministry of Agriculture, China National Rice Research Institute, Hangzhou 310006, China.
authors.forename: Lin
authors.initials: L
authors.lastname: Lu
authors.affiliation: Rice Product Quality Supervision and Inspection Center, Ministry of Agriculture, China National Rice Research Institute, Hangzhou 310006, China.
authors.forename: Xianqiao
authors.initials: X
authors.lastname: Hu
authors.affiliation: College of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou 310035, China.
authors.forename: Shiyi
authors.initials: S
authors.lastname: Tian
authors.affiliation: College of Food Science and Biotechnology, Zhejiang Gongshang University, Hangzhou 310035, China.
authors.forename: Shaoping
authors.initials: S
authors.lastname: Deng
authors.affiliation: Rice Product Quality Supervision and Inspection Center, Ministry of Agriculture, China National Rice Research Institute, Hangzhou 310006, China. Electronic address: 615834652@qq.com.
authors.forename: Zhiwei
authors.initials: Z
authors.lastname: Zhu
mesh_terms: D000465:Algorithms; D062609:Electronic Nose; D005518:Food Preferences; D005583:Fourier Analysis; D012275:Oryza / Q000737:chemistry*; D025341:Principal Component Analysis; D013649:Taste
keywords: Attributive analysis; Data preprocessing; Modeling; Voltammetric electronic tongue