Title :
Liquid-Phase Detection of Organophosphate Pesticides Using Guided SH-SAW Sensor
Author :
Mensah-Brown, A. ; Wenzel, M.J. ; Josse, F. ; Yaz, E. ; Sadik, O.
Author_Institution :
Marquette Univ., Milwaukee
Abstract :
It has been established that a polymer-coated SH-SAW sensor on 36deg rotated Y-cut LiTaO3 is a very sensitive platform for direct liquid-phase chemical sensing. In this work, two partially selective coatings, poly(epichlorohydrin) and polyurethane are investigated for the detection of organophosphate pesticides (phosmet and parathion) in aqueous solutions. Moreover, in order to meet the need for sensitive and selective chemical detection systems, novel signal processing techniques are employed in the detection process. First, the sensor response is modeled in terms of all relevant contributions (mass loading and viscoelasticity) using a state-space approach. Transient information, often unique to a given analyte/coating pair, is then extracted using nonlinear estimation theory and used to distinguish between chemical species, explain observed sensor responses, and decrease detection time. A detection limit in the ppb range can be achieved from the current experimental measurements.
Keywords :
agricultural pollution; agrochemicals; chemical products; chemical sensors; nonlinear estimation; polymer films; signal processing equipment; state-space methods; surface acoustic wave sensors; viscoelasticity; direct liquid-phase chemical sensing; guided SH-SAW sensor; liquid-phase detection; mass loading model; nonlinear estimation theory; organophosphate pesticides; partially selective coatings; poly(epichlorohydrin) coating; polymer-coated SH-SAW sensor; polyurethane coating; selective chemical detection; sensitive chemical detection; sensor response; signal processing techniques; state-space approach; transient information; viscoelasticity model; Chemical analysis; Chemical processes; Chemical sensors; Coatings; Elasticity; Information analysis; Polymers; Signal processing; Transient analysis; Viscosity;
Conference_Titel :
Sensors, 2007 IEEE
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-1261-7
Electronic_ISBN :
1930-0395
DOI :
10.1109/ICSENS.2007.4388679