高等学校化学学报 ›› 2003, Vol. 24 ›› Issue (8): 1381.

• 论文 • 上一篇    下一篇

用于测定空气中甲醛的电子鼻

张良谊, 温丽菁, 周峰, 张松, 杨芃原   

  1. 复旦大学化学系, 上海 200433
  • 收稿日期:2002-03-13 出版日期:2003-08-24 发布日期:2003-08-24
  • 通讯作者: 杨芃原(1949年出生),男,博士,教授,博士生导师,从事生物质谱分析和人工嗅觉研究.
  • 基金资助:

    国家科技部“九五”攻关课题(批准号:96-A23-03-07)资助

Electronic Nose for the Determination of Formaldehyde in Air

ZHANG Liang-Yi, WEN Li-Jing, ZHOU Feng, ZHANG Song, YANG Peng-Yuan   

  1. Department of Chemistry, Fudan University, Shanghai 200433, China
  • Received:2002-03-13 Online:2003-08-24 Published:2003-08-24

摘要: 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.

关键词: 电子鼻, 模糊神经网络, 甲醛

Abstract: 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/Land 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.

Key words: Electronic nose, Fuzzy neural net work(FNN), Formaldehyde

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