基于气敏传感器阵列的牛肉新鲜度识别方法研究  

Study Degree of Beef Freshness With Identification Method Based on Gas Sensitive Sensors Array

作　　者：滕炯华[1] 袁朝辉[1] 王磊[2] 

机构地区：[1]西北工业大学自动控制系,陕西西安710072 [2]同济大学中德学院,上海200092

出　　处：《测控技术》2002年第7期1-2,7,共3页Measurement & Control Technology

基　　金：国家自然科学基金资助项目 (60 172 0 76)

摘　　要：介绍了牛肉新鲜度检测机理 ,提出采用气敏传感器阵列采集牛肉气体 (味 )信息 ,利用概率神经网络作为模式识别处理方法用于检测牛肉新鲜度。通过对不同时间的牛肉样本数据测试与分析表明 ,该研究方法可识别牛肉新鲜度。A mothod on monitoring for degree of beef freshness which using gas sensitive sensor array is introduced.With this method,beef freshness can be monitored by use of pattern recognition with probabilistic neural network from gas information released by beef.The results of this investigation have made clear that beef freshness can be monitored based on analysis of sample data collected at different degree of beef freshness.

关 键 词：气敏传感器阵列 牛肉新鲜度 概率神经网络 模式识别 

分 类 号：TS251.52[轻工技术与工程—农产品加工及贮藏工程] TP391.4[轻工技术与工程—食品科学与工程]