Response time based output of metal oxide gas sensors applied to evaluation of meat freshness with neural signal analysis

被引：41

作者：

Galdikas, A ^{[1
]}

Mironas, A ^{[1
]}

Senuliene, D ^{[1
]}

Strazdiene, V ^{[1
]}

Setkus, A ^{[1
]}

Zelenin, D ^{[1
]}

机构：

[1] Inst Semicond Phys, Semicond Sensors Lab, LT-2600 Vilnius, Lithuania

来源：

SENSORS AND ACTUATORS B-CHEMICAL | 2000年 / 69卷 / 03期

关键词：

gas sensors; metal oxide; resistance response; data processing; odour recognition;

D O I：

10.1016/S0925-4005(00)00505-0

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

The resistance response to a steep change of the composition in air is investigated for gas sensors based on metal oxide thin films after the target odour was injected from the chicken meat into the atmosphere of clean air. The change of the response is described using an exponential decrease with few time constants for the slope. The time constants are considered as an output data of the gas sensors. The output data are collected for chicken meat from an array of the sensors. Meat freshness is evaluated basing on the smell when the output data of the gas sensors are processed with a neural network. If the time constants are used for the output, the target smell is recognised even with a single sensor. (C) 2000 Elsevier Science S.A. All rights reserved.

引用

页码：258 / 265

页数：8

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