文章基本信息

标题：Integration of a low‐cost electronic nose and a voltammetric electronic tongue for red wines identification
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作者：Fangkai Han ; Dongjing Zhang ; Joshua H. Aheto 等
期刊名称：Food Science & Nutrition
电子版ISSN：2048-7177
出版年度：2020
卷号：8
期号：8
页码：4330-4339
DOI：10.1002/fsn3.1730
出版社：John Wiley & Sons, Ltd.
摘要：The purpose of this present study was to develop a rapid and effective approach for identification of red wines that differ in geographical origins, brands, and grape varieties, a multi‐sensor fusion technology based on a novel cost‐effective electronic nose (E‐nose) and a voltammetric electronic tongue (E‐tongue) was proposed. The E‐nose sensors was created using porphyrins or metalloporphyrins, pH indicators and Nile red printed on a C2 reverse phase silica gel plate. The voltammetric E‐Tongue with six metallic working electrodes, namely platinum, gold, palladium, tungsten, titanium, and silver was employed to sense the taste of red wines. Principal component analysis (PCA) was utilized for dimensionality reduction and decorrelation of the raw sensors datasets. The fusion models derived from extreme learning machine (ELM) were built with PCA scores of E‐nose and tongue as the inputs. Results showed superior performance (100% recognition rate) using combination of odor and taste sensors than individual artificial systems. The results suggested that fusion of the novel cost‐effective E‐nose created and voltammetric E‐tongue coupled with ELM has a powerful potential in rapid quality evaluation of red wine.
关键词：colorimetric sensors;electronic nose;electronic tongue;extreme learning machine;red wine