High-speed fluorescence detection of explosives-like vapors

Citation
Kj. Albert et Dr. Walt, High-speed fluorescence detection of explosives-like vapors, ANALYT CHEM, 72(9), 2000, pp. 1947-1955
Citations number
59
Categorie Soggetti
Chemistry & Analysis","Spectroscopy /Instrumentation/Analytical Sciences
Journal title
ANALYTICAL CHEMISTRY
ISSN journal
00032700 → ACNP
Volume
72
Issue
9
Year of publication
2000
Pages
1947 - 1955
Database
ISI
SICI code
0003-2700(20000501)72:9<1947:HFDOEV>2.0.ZU;2-X
Abstract
In this paper, we report on the preparation of novel crossreactive optical microsensors for high-speed detection of low-level explosives and explosive s-like vapors. Porous silica microspheres with an incorporated environmenta lly sensitive fluorescent dye are employed in high-density sensor arrays to monitor fluorescence changes during nitroaromatic compound (NAC) vapor exp osure. The porous silica-based sensor materials have good adsorption charac teristics, high surface areas, and surface functionality to help maximize a nalyte-dye interactions. These interactions occur immediately upon vapor ex posure, i.e., in less than 200 ms and are monitored with a high-speed charg e-coupled device camera to produce characteristic and reproducible vapor re sponse profiles for individual sensors within an array. Employing thousands of identical microsensors permits sensor responses to be combined, which s ignificantly reduces sensor noise and enhances detection limits. Normalized response profiles for 1,3-dinitrobenzene (1,3-DNB) are independent of anal yte concentration, analyte exposure time, or sensor age for an array of one sensor type. Explosives-like NACs such as 2,4-dinitrotoluene and DNB are d etected at low part-per-billion levels in seconds. Sensor-analyte profiles of some sensor types are more sensitive to low-level NAC vapor even when in a higher organic vapor background. We show that single element arrays perm it the detection of low-level nitroaromatic compound vapors because of sens or-to-sensor reproducibility and signal averaging.