Identification of a gas composition based on an optical spectrum of plasma generated in MEMS ion spectrometer

T. Grzebyk, P. Szyszka, J. Dziuban
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引用次数: 5

Abstract

This article describes a method of identification of a gas composition based on an optical emission spectroscopy performed in a miniature MEMS plasma generator. Individual components are detected on the bases of characteristic peaks in the optical spectrum. However, determination of exact proportions of components in a gas mixture is much more problematic. Here, we present how to deal with this issue. We show which initial reference tests needs to be done and what signal processing operations are required to derive relative concentration of each gas specie. The developed method was applied to investigate two- and three-component mixtures of carbon dioxide, methane and nitrogen.
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基于MEMS离子光谱仪等离子体光谱的气体成分识别
本文描述了一种在微型MEMS等离子体发生器中进行的基于光学发射光谱的气体成分识别方法。在光谱特征峰的基础上检测各个成分。然而,测定气体混合物中各成分的精确比例则困难得多。在这里,我们介绍如何处理这个问题。我们展示了需要进行哪些初始参考测试,以及需要进行哪些信号处理操作来得出每种气体的相对浓度。将该方法应用于二氧化碳、甲烷和氮的二组分和三组分混合物的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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