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电子鼻检测技术研究进展
引用本文:刘宁晶,史波林,赵镭,屠振华,庆兆珅,籍保平,周峰.电子鼻检测技术研究进展[J].食品科技,2012(10):248-252.
作者姓名:刘宁晶  史波林  赵镭  屠振华  庆兆珅  籍保平  周峰
作者单位:中国农业大学食品科学与营养工程学院;中国标准化研究院食品与农业标准化研究所;国家食品行业生产力促进中心
基金项目:国家自然科学基金资助项目(31101292);国家火炬计划产业化环境建设项目(2011GH552096)
摘    要:电子鼻作为一种仿生嗅觉检测器,经过十多年的发展,越来越受到人们关注。针对目前电子鼻技术的关键点和热点,文章从传感器阵列种类、信号处理和模式识别算法3个方面对目前的研究现状进行了综述。比较了电子鼻3种常用的传感器阵列,并介绍了电子鼻信号处理的方法和主要的4种算法及各自优劣性。对于模式识别方法,从线性和非线性,有监督和无监督的角度选择了3类运用较为普遍的算法,分析了每类算法的特点以及适用范围。同时,讨论了目前电子鼻技术存在的不足,对电子鼻未来的研究发展做出了展望。

关 键 词:电子鼻  传感器阵列  信号处理  模式识别

Progress in detection of electronic nose
LIU Ning-jing,SHI Bo-lin, ZHAO Lei,TU Zhen-hua,QING Zhao-shen,JI Bao-ping,ZHOU Feng.Progress in detection of electronic nose[J].Food Science and Technology,2012(10):248-252.
Authors:LIU Ning-jing  SHI Bo-lin  ZHAO Lei  TU Zhen-hua  QING Zhao-shen  JI Bao-ping  ZHOU Feng
Affiliation:1 (1.College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083; 2.Food and Agriculture Standardization Institute, China National Institute of Standardization, Beijing 100088; 3.China Food Industry Promotion Center, Beijing 100062)
Abstract:Electronic nose(e-nose) is a a bionic sense of smell detector which has developed rapidly in the past dozens of years. An review of hot topics and key points of e-nose such as sensor arrays, signal processing and pattern recognition is given. It covers 3 kinds of sensor arrays and different methods of signal selection have been compared. Then, it focuses on the algorithm of pattern recognition, which ranges from linear and non-linear methods to supervised and unsupervised methods. Advantages and disadvantages of these methods have been analyzed in detail. At the meantime, the inadequate of e-nose are discussed, so are the future trends of e-nose.
Keywords:electronic nose  sensor arrays  signal processing  pattern recognition
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