摘要
报导了自行研制的微型电子鼻系统,它是以普通金属氧化物气敏传感器阵列组成的探测特定气体的高效系统。测量技术应用了人工神经元网络出色的模式识别能力。整个系统由传感器阵列、信号调理电路、电脑溴泡、结果显示电路组成,具有灵敏度、准确度高、抗干扰能力强等优良性能,克服了一般电子鼻仪器体积大、成本高的缺点,并可以简便地重复开发。介绍了微型电子鼻的测量原理和方法,并着重介绍了仪器制作和测量结果。
A new type of electronic nose (eNose)is reported which is a efficient system composed of common MOS gas sensor array for detecting specific gases. The measurement technology is based on the principle of artificial neural network featuring excellent pat tem recognition. The mini-eNose consists of a sensor array(4 gas sensors), a signal regulating circuit, a microcomputer olfactory bulb and a displaying circuit. The eNose has the merits of high sensitivity, accuracy and anti-interference ability. It can be adapt ed for other different uses simply by changing types of sensors. The measurement principle and method, and especially the con struction and the experimental results of the mini-eNose are described.
出处
《分析仪器》
CAS
1999年第4期1-5,共5页
Analytical Instrumentation