SAW Sensors for Nerve Agents Detection

Yadong Jiang, Jia Hu, Xiaosong Du, G. Xie, Ping Sun
{"title":"SAW Sensors for Nerve Agents Detection","authors":"Yadong Jiang, Jia Hu, Xiaosong Du, G. Xie, Ping Sun","doi":"10.1109/SOPO.2009.5230274","DOIUrl":null,"url":null,"abstract":"A modified spin coating method used for fabricating the waveguide layer has been evaluated for Love wave device. The properties of these devices have been compared with those of devices fabricated by the conventional method. The thicker and smooth layers achieved by the modified method enhance the mass sensitivity and reduce the insertion loss. Poly (vinylidene fluoride) (PVDF) and sulfosalicylic acid (SSA) modified Poly (methyl-3,3,3trifluoropropylsiloxane) (PMTFPS) are used to detect the dimethyl methyl phosphonate (DMMP) vapor, a simulant of nerve agents. Both the QCM sensors based on the two materials show the fast, large, and reversible response against DMMP. A group of hydrogen-bond acidic polymers has been investigated on their sensitivity of DMMP vapor. The experiments show that a polymer with the strongest hydrogen-bond acidic functional group can be the least sensitive one among the studied polymers. It is attributed to the different degree of self-association of the polymers determined by the entanglement of the polymer chains. KeywordsGas sensor, Organophosphorus nerve agents, Love wave device, PVDF, SSA modified PMTFPS, Hydrogen-bond acidic polymers","PeriodicalId":6416,"journal":{"name":"2009 Symposium on Photonics and Optoelectronics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Symposium on Photonics and Optoelectronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOPO.2009.5230274","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

A modified spin coating method used for fabricating the waveguide layer has been evaluated for Love wave device. The properties of these devices have been compared with those of devices fabricated by the conventional method. The thicker and smooth layers achieved by the modified method enhance the mass sensitivity and reduce the insertion loss. Poly (vinylidene fluoride) (PVDF) and sulfosalicylic acid (SSA) modified Poly (methyl-3,3,3trifluoropropylsiloxane) (PMTFPS) are used to detect the dimethyl methyl phosphonate (DMMP) vapor, a simulant of nerve agents. Both the QCM sensors based on the two materials show the fast, large, and reversible response against DMMP. A group of hydrogen-bond acidic polymers has been investigated on their sensitivity of DMMP vapor. The experiments show that a polymer with the strongest hydrogen-bond acidic functional group can be the least sensitive one among the studied polymers. It is attributed to the different degree of self-association of the polymers determined by the entanglement of the polymer chains. KeywordsGas sensor, Organophosphorus nerve agents, Love wave device, PVDF, SSA modified PMTFPS, Hydrogen-bond acidic polymers
用于神经毒剂探测的SAW传感器
研究了一种用于Love波器件波导层制备的改进自旋镀膜方法。并将这些器件的性能与传统方法制备的器件进行了比较。通过改进的方法获得的更厚、更光滑的层提高了质量灵敏度,降低了插入损耗。采用聚偏氟乙烯(PVDF)和磺基水杨酸(SSA)改性聚(甲基-3,3,3三氟丙基硅氧烷)(PMTFPS)检测神经毒剂模拟物膦酸二甲酯(DMMP)蒸气。基于这两种材料的QCM传感器对DMMP均表现出快速、大且可逆的响应。研究了一类氢键酸性聚合物对DMMP蒸气的敏感性。实验表明,氢键酸性官能团最强的聚合物是最不敏感的聚合物。这是由于聚合物链的缠结决定了聚合物的不同程度的自缔合。关键词:气体传感器,有机磷神经毒剂,洛夫波装置,PVDF, SSA改性PMTFPS,氢键酸性聚合物
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信