PATTERN-RECOGNITION METHODS FOR GAS-MIXTURE ANALYSIS - APPLICATION TO SENSOR ARRAYS BASED UPON SNO2

被引：65

作者：

WEIMAR, U ^{[1
]}

SCHIERBAUM, KD ^{[1
]}

GOPEL, W ^{[1
]}

KOWALKOWSKI, R ^{[1
]}

机构：

[1] CTR SUISSE ELECTR & MICROTECH SA,CH-2000 NEUCHATEL,SWITZERLAND

来源：

SENSORS AND ACTUATORS B-CHEMICAL | 1990年 / 1卷 / 1-6期

关键词：

Electrodes; Electrochemical--Gas Sensing - Mixtures--Chemical Analysis - Pattern Recognition - Semiconducting Tin Compounds;

D O I：

10.1016/0925-4005(90)80179-4

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

This paper demonstrates the possibility of determining single gas components, such as H2, CH4 and CO, in air from specific patterns of chemically modified SnO2-based sensors. We also present results from two different multicomponent analysis approaches. In the first approach we measure conductivities of different chemically modified sensors and in the second one we measure different parameters of only one sensor. © 1990.

引用

页码：93 / 96

页数：4

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