用于测定空气中甲醛的电子鼻

制作了可定量检测空气中甲醛的便携式电子鼻.该电子鼻由传感器阵列、信号调理电路、模式识别系统以及显示系统等4个部分组成,其中传感器阵列为4个半导体金属氧化物传感器.模式识别系统采用模糊神经网络算法.便携式甲醛电子鼻对甲醛气体响应专一,抗干扰能力强,且定量结果精确,可用于甲醛气体的现场检测.对于0.001～0.25mg/L浓度范围内的甲醛气体,电子鼻定量测报的正确率达到81.3%;对于干扰气体存在下的甲醛气体,未出现错误测报.

Electronic Nose for the Determination of Formaldehyde in Air

This paper reports a portable electronic nose(e-nose) for the selective determination of formaldehyde in the presence of interference gases. The e-nose is composed of an array of four sensors, a signal regulating circuit, an electronic olfactory and a display. The fuzzy neural network(FNN) is applied to the analysis of the sensor responses. The reported results are satisfied with a pass rate of 81.3% within the permitted relative error in the mass concentration range of 0.001-0.25 mg/L and have no recognition error for the formaldehyde in the presence of interference gases. The enose is reliable for the recognition and determination of formaldehyde concentration in air.