Distinguishing binary mixtures of VOCs by pattern recognition of SAW array responses
- Sandia National Labs., Albuquerque, NM (United States); and others
Surface acoustic wave (SAW) devices coated with self-assembled monolayer and plasma-grafted polymer thin films can detect a variety of volatile organic compounds (VOCs). Distinguishing individual VOCs and VOC mixtures with arrays of these devices requires: robust pattern recognition (PR) of the nonlinear and nonadditive array responses; optimizing the choice of SAW films for VOC PR. We describe a cluster-based PR method and a selected set of six SAW device coatings which distinguish water, 6 VOCs (acetone, DIMP, i-octane, n-propanol, TCE, toluene) and their 21 binary combinations over wide concentration ranges. Recognition robustness is assessed by artificially imposing up to 16% reductions (mimicking drifts) in sensitivities of the SAW responses. Correct chemical recognition occurred for over 95% of the measured and artificial-drift data.
- OSTI ID:
- 126260
- Report Number(s):
- CONF-950402-; TRN: 95:006086-0242
- Resource Relation:
- Conference: 209. American Chemical Society (ACS) national meeting, Anaheim, CA (United States), 2-6 Apr 1995; Other Information: PBD: 1995; Related Information: Is Part Of 209th ACS national meeting; PB: 2088 p.
- Country of Publication:
- United States
- Language:
- English
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