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ENose's Polymer Sensors
ENose Substrates Each sensing chip is fabricated by depositing eight individual polymer-carbon composite sensing films on a ceramic substrate.
Sensor Resistance Data Plot
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Sensor size reference (~2.5cm) JPL ENose sensor substrates are 25-mm-wide ceramic base with eight screen-printed Pd-Au electrode sets. Polymer–carbon black composite films are deposited from solution on the electrodes. Heaters (thermistors) have been soldered to the back side of each substrate. Please read for more information: Polymer-Carbon Black Composite Sensors in an Electronic Nose For Air Quality Monitoring ENose Spotlight Click to watch Dr. Margaret A. Ryan explain the science behind the ENose |
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ENose's Molecular Modeling Research |
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Ball and Stick Models The underlying objective of this work is to develop molecular models that accurately describe the polymer-carbon black composite films used in the ENose sensors and to gain a detailed understanding of polymer composite-analyte interactions. A combination of molecular simulation tools (molecular mechanics and dynamics) are used in this work. |
Short Modeling Simulation Movie Clip! |
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Molecular Modeling Technical Works and Links Environmental Monitoring by Electronic Nose Sensors: A Molecular Modeling Study (Abstract, Electrical Chemical Society) Correlating Polymer-Carbon Composite Sensor Response with Molecular Descriptors (J. Electrochem. Soc., Volume 153, Issue 11, pp. H209-H216 (2006)) Presentations Molecular Modeling of Interactions in Electronic Nose Sensors for Environmental Monitoring in Aerospace Applications (American Institute of Chemical Engineers, Annual Meeting, Indianapolis, November 2002) Book Computational Methods for Sensor Material Selection (Out Now 2010!) Useful links for molecular modeling and simulations Research ChE
Academic Research Groups Computing Software Schrodinger,
Inc. Supercomputing Centers National
Center for Supercomputing Application |
ENose Home | Flight Mission 2008-09' | Bios | Technical Publications | News | Sensors & Molecular Modeling | Related Links