Methods to acquire and analyze rich data streams from sensors are helpful, if not required, to track chemical components within complex gas-phase environments. We describe a MEMS-based microsensor technology that populates multi-element arrays with multiple sensing materials and also cycles the temperatures of the elements as a function of time. Various processing methods have been applied to the resulting databases in order to recognize and classify target analytes in dynamic background conditions.
Proceedings Title: Transactions of the 215th Electrochemical Society Meeting
Conference Dates: May 25-29, 2009
Conference Location: San Francisco, CA
Pub Type: Conferences
array, bio-inspired methods, chemical microsensor, oxide, temperature