摘要
介绍了电子舌的概念、基本结构及其发展历史,重点讨论了电子舌系统的技术背景。电子舌通常由三大部分组成,一是传感器阵列,包括PVC薄膜传感器阵列、Langmuir-Blodgett修饰膜传感器阵列、硫属玻璃传感器阵列等;二是模式识别方法,如主成分分析法、人工神经网络法、偏最小二乘法、简单优劣判别分析法等;三是相关的专家自学习系统。还介绍了作者近年来研究实现的新型多频脉冲电子舌——智舌(Smartongue)系统,并对电子舌发展的整体方向和趋势作了展望,强调电子舌等智能感觉系统将成为分析科学及其它学科领域中一类具有广阔发展前景的思路与技术。
In this paper, the conception and the structure of the electronic tongue together with recent achievements on its construction were reviewed. The electronic tougue mainly comprised three different parts. The first is the sensors array which was composed of three kinds of modified sensors based on PVC modified sensors, Langmuir'Blodgett films, chalcogenide glass sensors and so on. Four pattern recognition methods, i. e. , principal component analysis (PCA), artificial neural networks (ANN), partial least squares (PLS) and statistical isolinear multicategory analogy (SIMCA) constituted the second parts of the electronic tongue. The third part is the expert database. Moreover, a novel multifrequency large pulse voltammetry electronic tongue, so called "smar tongue", developed by the authors' group recently was presented. Some view of the developed direction and trend of electronic tongue was proposed, and the author emphasized that the artificial intellectual sense system, i.e. electronic tongue, would be a novel thought and technique method with good prospect in the realm of analysis chemical and other science.
出处
《食品与生物技术学报》
CAS
CSCD
北大核心
2007年第4期110-116,共7页
Journal of Food Science and Biotechnology
基金
浙江省自然科学基金项目(Y305206)
浙江省科技厅重点科技攻关项目(2006C23082)
浙江省高校食品科学重中之重学科建设重点引导项目(ZZZ0504).
关键词
传感器阵列
模式识别
电子舌
sensors array
pattern recognition
electronic tongue