  Information theoretical tools are applied for the study of the sensitivity
and selectivity enhancements of resistive fluctuation-enhanced sensors. General
considerations are given for the upper limit of selectivity enhancement. The
signal-to-noise ratio and information channel capacity of fluctuation-enhanced
chemical sensors is compared to that of classical sensors providing a single
output. The considerations are done at the generic level with a few concrete
examples and include the estimation of scaling relations between the sensor
size, speed of measurements, sampling rate, measurement time, signal power and
noise power.
