Study of Surface Acoustic Wave Sensing Array for Organic Vapor Recognition

碩士 === 中原大學 === 電子工程研究所 === 95 === Surface acoustic wave (SAW) devices have been used as frequency filters in modern communication systems. In addition, Quartz SAW device utilizing surface acoustic wave modes have been extensively used in mass sensing applications. SAW devices coated with polymer fi...

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Main Authors: Chia-Lin Ku, 古佳琳
Other Authors: 鄭湘原
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/73549027259632570679
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spelling ndltd-TW-095CYCU54280652016-05-18T04:13:58Z http://ndltd.ncl.edu.tw/handle/73549027259632570679 Study of Surface Acoustic Wave Sensing Array for Organic Vapor Recognition 陣列式表面聲波感測器在有機氣體辨識之研究 Chia-Lin Ku 古佳琳 碩士 中原大學 電子工程研究所 95 Surface acoustic wave (SAW) devices have been used as frequency filters in modern communication systems. In addition, Quartz SAW device utilizing surface acoustic wave modes have been extensively used in mass sensing applications. SAW devices coated with polymer films as chemical sensors become popular in detecting a variety of organic vapors. Seven polymer thin films including polyisobutylene (PIB), phenylmethyl siloxane-Diphenyl siloxane copolymer, 25% methyl, 75% phenyl (OV25), poly epichlorohydrin (PECH), PVPR(polyvinylpropionate), Fluoropolyol (FPOL), Ethyl cellulose (EC) and Poly (n,n dimethylamino propylsilsesquioxane) (SXCNR) were studied by sensing three different organic vapors including IPA (Isopropanol; Isopropyl alcohol; 2-propanol), Benzene and CCl4. The purposes in this research are to explore the difference in gas absorbing characteristics among different polymer thin films and eventually to accomplish a fully functioning vapor sensing system with multi-gas sensing capability. For the related readout circuits, the CMOS-based SAW oscillator was fabricated using TSMC 0.35�慆 logic process. Their output frequency and power of SAW oscillators are 157.2745MHz and 2.38dBm, respectively. Furthermore, the organic vapor recognition system is achieved by successfully building up a gas sensing database as well as the training algorithm. And the recognition system based on Back Propagation Neural Network is able to identify the organic vapors including IPA、Benzene and CCl4 which shall be extendable to many other different vapor species in the future. 鄭湘原 2007 學位論文 ; thesis 82 zh-TW
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description 碩士 === 中原大學 === 電子工程研究所 === 95 === Surface acoustic wave (SAW) devices have been used as frequency filters in modern communication systems. In addition, Quartz SAW device utilizing surface acoustic wave modes have been extensively used in mass sensing applications. SAW devices coated with polymer films as chemical sensors become popular in detecting a variety of organic vapors. Seven polymer thin films including polyisobutylene (PIB), phenylmethyl siloxane-Diphenyl siloxane copolymer, 25% methyl, 75% phenyl (OV25), poly epichlorohydrin (PECH), PVPR(polyvinylpropionate), Fluoropolyol (FPOL), Ethyl cellulose (EC) and Poly (n,n dimethylamino propylsilsesquioxane) (SXCNR) were studied by sensing three different organic vapors including IPA (Isopropanol; Isopropyl alcohol; 2-propanol), Benzene and CCl4. The purposes in this research are to explore the difference in gas absorbing characteristics among different polymer thin films and eventually to accomplish a fully functioning vapor sensing system with multi-gas sensing capability. For the related readout circuits, the CMOS-based SAW oscillator was fabricated using TSMC 0.35�慆 logic process. Their output frequency and power of SAW oscillators are 157.2745MHz and 2.38dBm, respectively. Furthermore, the organic vapor recognition system is achieved by successfully building up a gas sensing database as well as the training algorithm. And the recognition system based on Back Propagation Neural Network is able to identify the organic vapors including IPA、Benzene and CCl4 which shall be extendable to many other different vapor species in the future.
author2 鄭湘原
author_facet 鄭湘原
Chia-Lin Ku
古佳琳
author Chia-Lin Ku
古佳琳
spellingShingle Chia-Lin Ku
古佳琳
Study of Surface Acoustic Wave Sensing Array for Organic Vapor Recognition
author_sort Chia-Lin Ku
title Study of Surface Acoustic Wave Sensing Array for Organic Vapor Recognition
title_short Study of Surface Acoustic Wave Sensing Array for Organic Vapor Recognition
title_full Study of Surface Acoustic Wave Sensing Array for Organic Vapor Recognition
title_fullStr Study of Surface Acoustic Wave Sensing Array for Organic Vapor Recognition
title_full_unstemmed Study of Surface Acoustic Wave Sensing Array for Organic Vapor Recognition
title_sort study of surface acoustic wave sensing array for organic vapor recognition
publishDate 2007
url http://ndltd.ncl.edu.tw/handle/73549027259632570679
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