用于气体浓度定量测定的电子鼻

G. Jasinski, P. Kalinowski, Ł. Woźniak
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引用次数: 4

摘要

人类的嗅觉是主观的,很容易疲劳,这严重限制了人类嗅觉识别香味的实际应用。因此,人们非常需要一种可以代替人类嗅觉的仪器。20世纪80年代中期的电子鼻装置在越来越多的应用中得到使用。它们包括一组具有部分特异性的电化学气体传感器和一种模式识别算法。然而,大多数这样的系统只用于定性测量。本文介绍了该系统在气体浓度定量测定中的应用。电子鼻由一个传感器阵列和八个市售田口式气体传感器组成。比较了人工神经网络、偏最小二乘回归和支持向量机回归三种模式识别算法的性能。电子鼻用于测定氨和二氧化氮的浓度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An electronic nose for quantitative determination of gas concentrations
The practical application of human nose for fragrance recognition is severely limited by the fact that our sense of smell is subjective and gets tired easily. Consequently, there is considerable need for an instrument that can be a substitution of the human sense of smell. Electronic nose devices from the mid 1980s are used in growing number of applications. They comprise an array of several electrochemical gas sensors with partial specificity and a pattern recognition algorithms. Most of such systems, however, is only used for qualitative measurements. In this article usage of such system in quantitative determination of gas concentration is demonstrated. Electronic nose consist of a sensor array with eight commercially available Taguchi type gas sensor. Performance of three different pattern recognition algorithms is compared, namely artificial neural network, partial least squares regression and support vector machine regression. The electronic nose is used for ammonia and nitrogen dioxide concentration determination.
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