摘要
选取了包括卟啉和金属酞菁在内的6种气敏显色剂构建可视嗅觉敏感阵列,并用这些阵列和自行设计的可视嗅觉电子鼻系统对10种具有典型分子结构的有机胺进行了识别;对实验数据分别用静态图像响应,动态时间响应和多元统计分析的方法进行了表达和分析;结果表明,可视嗅觉电子鼻技术对这十种有机胺的静态图像响应模式和动态时间响应模式具有高度的特异性,并且可以对具有相似分子结构的分析物进行聚类。
Six odour sensitive dyes, including porphyrins and metallophthalocyanine, are selected to construct the smell-seeing sensitive arrays. These arrays are then used in a self-designed smell-seeing electronic nose system to recognize ten kinds of organic amines with typ ical molecular structures. The testing data is represented and analyzed by static image response, dynamic time response and multivariate sta tistical analysis respectively. Results show that the response patterns upon the ten amines are highly special to each other, Those analytes with similar molecular structure are clustered together.
出处
《计算机测量与控制》
CSCD
北大核心
2009年第10期2055-2058,共4页
Computer Measurement &Control
基金
西北工业大学基础研究基金资助(W018103)
关键词
可视嗅觉
有机胺
电子鼻
卟啉
金属酞菁
smell- seeing
amines
e- nose
porphyrin
metallophthalocyanine
