REPUBLIC OF SERBIA MINISTRY OF DEFENCE
MINISTRY OF DEFENCE Material Resources Sector Defensive Technologies Department
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on multicomponent adsorption of cwa AND CWA SIMULANTS
Centre of Microelectronic Technologies, Institute of Chemistry, Technology and Metallurgy, University of Belgrade, Belgrade, Serbia, olga@nanosys.ihtm.bg.ac.rs ivana jokić Centre of Microelectronic Technologies, Institute of Chemistry, Technology and Metallurgy, University of Belgrade, Belgrade, Serbia, ijokic@nanosys.ihtm.bg.ac.rs zoran jakšić Centre of Microelectronic Technologies, Institute of Chemistry, Technology and Metallurgy, University of Belgrade, Belgrade, Serbia, jaksa@nanosys.ihtm.bg.ac.rs miloš frantlović Centre of Microelectronic Technologies, Institute of Chemistry, Technology and Metallurgy, University of Belgrade, Belgrade, Serbia, frant@nanosys.ihtm.bg.ac.rs dragan tanasković Centre of Microelectronic Technologies, Institute of Chemistry, Technology and Metallurgy, University of Belgrade, Belgrade, Serbia, dragant@nanosys.ihtm.bg.ac.rs danijela randjelović Centre of Microelectronic Technologies, Institute of Chemistry, Technology and Metallurgy, University of Belgrade, Belgrade, Serbia, danijela@nanosys.ihtm.bg.ac.rs
Abstract: This contribution presents a study of multicomponent detection of chemical warfare agents (CWA) and CWA simulants using a single sensor element for simultaneous detection. We analyze refractometric sensing of fluid/solid interactions in plasmonic or resonant microelectromechanical (MEMS) and nanoelectromechanical (NEMS) adsorption-based sensors. We use analytical models to determine transient and steady state response as well as analytical models for fluctuation kinetics and fluctuation dynamics for noise analysis of the sensors. We present a procedure for the calculation of the adsorption rate constants of CWA/CWA simulants from gas phase, using the data from online databases with the chemical structures of the particular chemical agents. We present an in-house developed open source software package for simulation of monolayer adsorption processes that we use here to explore possibilities for noise spectroscopy and mixture decomposition in experimental data regarding adsorption of CWA and CWA simulants. Keywords: adsorption-based sensing, multicomponent detection, noise spectroscopy.
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