Simple and rapid differentiation of toxic gases using a quartz crystal microbalance sensor array coupled with principal component analysis

碩士 === 中國文化大學 === 化學系應用化學碩士班 === 105 === A novel quartz crystal microbalance (QCM) sensor array was fabricated for differentiating three toxic gases (NH3, CO and NO2) from their tertiary mixtures. The QCM sensor array composed of three QCM sensors that were constructed using graphene oxide (GO)-base...

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Main Authors: CHUANG, TSAO-YUN, 莊肇昀
Other Authors: SU, PI-GUEY
Format: Others
Language:zh-TW
Published: 2017
Online Access:http://ndltd.ncl.edu.tw/handle/2ky7nm
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spelling ndltd-TW-105PCCU05000042019-05-15T23:24:48Z http://ndltd.ncl.edu.tw/handle/2ky7nm Simple and rapid differentiation of toxic gases using a quartz crystal microbalance sensor array coupled with principal component analysis 利用石英晶體微天秤陣列結合主成分分析方法簡單快速判別不同毒性氣體 CHUANG, TSAO-YUN 莊肇昀 碩士 中國文化大學 化學系應用化學碩士班 105 A novel quartz crystal microbalance (QCM) sensor array was fabricated for differentiating three toxic gases (NH3, CO and NO2) from their tertiary mixtures. The QCM sensor array composed of three QCM sensors that were constructed using graphene oxide (GO)-based and N-substituted pyrrole derivative-based films. The response frequency changes of a QCM sensor array were recorded upon exposing to each target toxic gas with varying concentrations and the obtained data were analyzed by principal component analysis (PCA) in order to differentiate the target toxic gas under testing condition of tertiary mixing of toxic gases. The results of this work show promising prospects for the use of a low-cost, easy to use and rapid method for differentiating the target toxic gas in the presence of a mixture of gases. Keywords: QCM sensor array; graphene oxide; N-substituted pyrrole derivative; differentiation of toxic gases. SU, PI-GUEY 蘇平貴 2017 學位論文 ; thesis 64 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 中國文化大學 === 化學系應用化學碩士班 === 105 === A novel quartz crystal microbalance (QCM) sensor array was fabricated for differentiating three toxic gases (NH3, CO and NO2) from their tertiary mixtures. The QCM sensor array composed of three QCM sensors that were constructed using graphene oxide (GO)-based and N-substituted pyrrole derivative-based films. The response frequency changes of a QCM sensor array were recorded upon exposing to each target toxic gas with varying concentrations and the obtained data were analyzed by principal component analysis (PCA) in order to differentiate the target toxic gas under testing condition of tertiary mixing of toxic gases. The results of this work show promising prospects for the use of a low-cost, easy to use and rapid method for differentiating the target toxic gas in the presence of a mixture of gases. Keywords: QCM sensor array; graphene oxide; N-substituted pyrrole derivative; differentiation of toxic gases.
author2 SU, PI-GUEY
author_facet SU, PI-GUEY
CHUANG, TSAO-YUN
莊肇昀
author CHUANG, TSAO-YUN
莊肇昀
spellingShingle CHUANG, TSAO-YUN
莊肇昀
Simple and rapid differentiation of toxic gases using a quartz crystal microbalance sensor array coupled with principal component analysis
author_sort CHUANG, TSAO-YUN
title Simple and rapid differentiation of toxic gases using a quartz crystal microbalance sensor array coupled with principal component analysis
title_short Simple and rapid differentiation of toxic gases using a quartz crystal microbalance sensor array coupled with principal component analysis
title_full Simple and rapid differentiation of toxic gases using a quartz crystal microbalance sensor array coupled with principal component analysis
title_fullStr Simple and rapid differentiation of toxic gases using a quartz crystal microbalance sensor array coupled with principal component analysis
title_full_unstemmed Simple and rapid differentiation of toxic gases using a quartz crystal microbalance sensor array coupled with principal component analysis
title_sort simple and rapid differentiation of toxic gases using a quartz crystal microbalance sensor array coupled with principal component analysis
publishDate 2017
url http://ndltd.ncl.edu.tw/handle/2ky7nm
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