黄酒识别的电子鼻系统设计  

Design of electronic nose system for identification of yellow rice wine

作　　者：顾海锋[1] 张世庆[1] 孙力[2] 蔡健荣[2] 徐意梦 向赟[2] 

机构地区：[1]江苏大学机械工程学院,镇江212013 [2]江苏大学食品与生物工程学院,镇江212013

出　　处：《食品科技》2014年第4期248-251,共4页Food Science and Technology

基　　金：国家自然科学基金项目(30771243)

摘　　要：开发了一款便携式电子鼻系统,由传感器阵列、采样气路、信号调理电路、电源模块及信号采集与分析系统组成,设计中通过半导体制冷片和空气干燥装置实时控制传感器的工作环境,以解决温湿度对金属氧化物传感器的影响,并通过上位机软件实时控制各个模块的工作状态。为验证该系统的性能及精度,结合模式识别方法对4种不同品牌的黄酒进行了分析与识别。结果显示,所设计的便携式电子鼻系统结合BP神经网络(BP-ANN)模型可实现对不同品牌黄酒的识别。A portable electronic nose system composed of an array of sensors, gas sampling system, signal processing circuit, power module, data acquisition card and data analysis was developed by our laboratory. It was convenient to control the reaction condition of the sensor array combined with semiconductor cooler and air dry-set for avoiding the influence of the humidity and temperature. Also controlling each module by the upper computer software was very easy. The electronic nose based on pattern recognition methods was applied to discriminate four different types of Chinese rice wine. The research shows that the novel artificial technique based on back-propagation neutral networks （BP-ANN） obtains an optimum result.

关 键 词：电子鼻 多路模拟开关 半导体制冷片 BP神经网络 

分 类 号：TS261.7[轻工技术与工程—发酵工程]