摘要
电子鼻通过模仿哺乳动物嗅觉系统的主要构件来检测和识别复杂的气味,由于其快速、无损等优点被应用于食品生产链早期污染和缺陷检测。作为一种分析仪器,电子鼻利用传感器陈列对气体信号采集,电子鼻系统再通过信号预处理、神经网络和各种算法对气体定性定量分析。伴随着肉类食品在我国国民消费所占的比例越来越高,人们对肉类品质的要求也越来越高,研究人员已采用电子鼻对肉类新鲜度、肉类有害物质、肉类掺假等进行鉴别,研究结果表明电子鼻的准确识别率能达到87.5%以上。本文介绍了电子鼻的组成、工作原理和电子鼻技术在检测肉类新鲜度、肉类有害物质、肉类掺假问题的典型研究成果以及存在的问题,并提及了电子鼻的未来发展趋势和应用领域。
Electronic nose is a kind of detection device for simulating animal olfactory organs. It is widely used in the field of food quality testing because of its advantages of fast, nondestructive and so on. The work of electronic nose can be simply summarized as: Sensor array, signal preprocessing, neural network and various algorithms, computer recognition (gas qualitative and quantitative analysis). Functionally speaking, gas sensor array is equivalent to a large number of olfactory receptor cells in biological olfactory system. Neural network and computer recognize biological equivalent brain, and the rest part is equivalent to olfactory nerve signal transmission system. With the increasing proportion of meat products in the national consumption food, people’s demand for meat quality is higher and higher. Electronic nose can distinguish meat freshness, meat harmful substances and meat adulteration. The composition, working principle of the electronic nose and the problems faced by the present electronic nose technology and the research results are introduced, and the future development of the electronic nose is also prospected.
作者
龚爱平
邵咏妮
Aiping Gong;Yongni Shao(Department of Intelligent Manufacturing and Equipment, Shenzhen Institute of Information Technology,Shenzhen Guangdong;Shanghai Key Lab of Modern Optical System, University of Shanghai for Science and Technology, Shanghai)
出处
《计算机科学与应用》
2018年第6期910-917,共8页
Computer Science and Application
基金
深圳市战略新兴产业发展专项资金(JCYJ20150417094158023)
国家自然科学基金(31402318,61605173)。
关键词
电子鼻
肉类
鉴别
Electronic Nose
Meat
Identification