Toward the nanospring-based artificial olfactory system for trace-detection of flammable and explosive vapors

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• 作者：Vladimir Dobrokhotov^a ; ^{vladimir.dobrokhotov@wku.edu}  ; [Author Vitae] ; Landon Oakes^a  ; [Author Vitae] ; Dewayne Sowell^a  ; [Author Vitae] ; Alexander Larin^a  ; [Author Vitae] ; Jessica Hall^a  ; [Author Vitae] ; Alex Kengne^b  ; [Author Vitae] ; Pavel Bakharev^b  ; [Author Vitae] ; Giancarlo Corti^b  ; [Author Vitae] ; Timothy Cantrell^c  ; [Author Vitae] ; Tej Prakash^b  ; [Author Vitae] ; Joseph Williams^d  ; [Author Vitae] ; D.N. McIlroy^b  ; [Author Vitae]
• 关键词：73.63.Bd ; 73.63.Rt
• 刊名：Sensors and Actuators B ; Chemical
• 出版年：2012
• 期刊代码：161_09254005
• 类别：et
• 出版时间：20 June, 2012
• 卷：168
• 期：Complete
• 页码：138-148
• 文件大小：1764 K

摘要

Chemical sensors were fabricated on the basis of novel nanomaterials - silica nanosprings. High chemical sensitivity was achieved by coating the silica nanosprings with ZnO using atomic layer deposition (ALD), followed by decorating with metal nanoparticles. The optimum operational conditions (T = 400 掳C, ZnO grain size 鈭?5 nm) were obtained and investigated. The nanospring-based sensors demonstrated remarkable vapor sensing properties: well-defined spikes in conductance upon exposure to explosives (TNT, TATP) and flammable vapors (toluene, acetone, ethanol) were obtained for 0.1 ms exposure times at ppb level. Based on surface doping of ZnO with various metallic nanoparticles, a discrimination mechanism was developed and an integrated sensor-array for simultaneous real-time resistance scans was built. The integrated sensor response was tested using linear discriminant analysis (LDA). The distinguished electronic signatures of various chemical vapors were obtained at ppm level.