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Chemical sensor development often progresses by combining an analyte-dependent chemical phenomenon that induces a physical change with a transduction phenomenon responsive to that change. The effectiveness of the resultant sensor relative to other sensors is then considered in terms of a change in signal-to-noise or in “selectivity” as a result of the interplay between the underlying phenomena. Unfortunately, when arrays of these and/or related sensors are constructed, the aggregate capability of the resultant array underperforms expectations suggesting a significant overlap in the informatic capacity of the constituent sensors. This abstract presents a nascent theoretical approach and methodology for probing the overlap in sensing capabilities among sensors using mutual information and simple models for chemical sensing systems.

P2MM.4 - How Information-Rich are Sensor Response Interactions? Overlap and Resolution in Chemical Sensor Array Design