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基于电场效应的单催化传感器对可燃气体混合物的检测

Inflammable gas mixture detection with a single catalytic sensor based on the electric field effect.

作者信息

Tong Ziyuan, Tong Min-Ming, Meng Wen, Li Meng

机构信息

Engineering Institute of Information and Electricity, China University of Mining Technology, Xuzhou 221116, China.

出版信息

Sensors (Basel). 2014 Apr 8;14(4):6409-18. doi: 10.3390/s140406409.

DOI:10.3390/s140406409
PMID:24717635
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4029709/
Abstract

This paper introduces a new way to analyze mixtures of inflammable gases with a single catalytic sensor. The analysis technology was based on a new finding that an electric field on the catalytic sensor can change the output sensitivity of the sensor. The analysis of mixed inflammable gases results from processing the output signals obtained by adjusting the electric field parameter of the catalytic sensor. For the signal process, we designed a group of equations based on the heat balance of catalytic sensor expressing the relationship between the output signals and the concentration of gases. With these equations and the outputs of different electric fields, the gas concentration in a mixture could be calculated. In experiments, a mixture of methane, butane and ethane was analyzed by this new method, and the results showed that the concentration of each gas in the mixture could be detected with a single catalytic sensor, and the maximum relative error was less than 5%.

摘要

本文介绍了一种使用单个催化传感器分析可燃气体混合物的新方法。该分析技术基于一项新发现,即催化传感器上的电场可以改变传感器的输出灵敏度。对混合可燃气体的分析是通过处理调节催化传感器电场参数所获得的输出信号来实现的。对于信号处理,我们基于催化传感器的热平衡设计了一组方程,用以表达输出信号与气体浓度之间的关系。利用这些方程以及不同电场下的输出,就可以计算混合物中气体的浓度。在实验中,采用这种新方法对甲烷、丁烷和乙烷的混合物进行了分析,结果表明,使用单个催化传感器就能检测混合物中每种气体的浓度,最大相对误差小于5%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/281e/4029709/d5fe2ea09419/sensors-14-06409f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/281e/4029709/0eb589670a6d/sensors-14-06409f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/281e/4029709/7124fe5aa435/sensors-14-06409f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/281e/4029709/d36d685477f0/sensors-14-06409f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/281e/4029709/003baa43a5b3/sensors-14-06409f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/281e/4029709/f78968afe484/sensors-14-06409f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/281e/4029709/d5fe2ea09419/sensors-14-06409f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/281e/4029709/0eb589670a6d/sensors-14-06409f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/281e/4029709/7124fe5aa435/sensors-14-06409f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/281e/4029709/d36d685477f0/sensors-14-06409f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/281e/4029709/003baa43a5b3/sensors-14-06409f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/281e/4029709/f78968afe484/sensors-14-06409f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/281e/4029709/d5fe2ea09419/sensors-14-06409f6.jpg

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本文引用的文献

1
Improving the performance of catalytic combustion type methane gas sensors using nanostructure elements doped with rare Earth cocatalysts.采用掺杂稀土共催化剂的纳米结构元素提高催化燃烧型甲烷气体传感器的性能。
Sensors (Basel). 2011;11(1):19-31. doi: 10.3390/s110100019. Epub 2010 Dec 23.