Abstract
The electrochemical fuel-cell sensor provides a reliable means of determining the concentration of a range of gases in a variety of gas mixtures. Its use in screening for breath alcohol content, evidential testing and environmental monitoring for a range of aldehydes is well established across the world. The fuel cell, in common with other types of similar sensors, when subjected to successive samples or doses, with short rest times between doses, will exhibit a variation in response due to an effect known as short-term fatigue, the extent of which is related to the sensor dose history (i.e., to the dose concentration and rest time between doses). Current practice involves allowing the cell to recover to an acceptable level before resampling but, since this limits the speed of the sampling process, for high-accuracy operation a method of fatigue correction is highly desirable. This paper describes the development of a model that approximates the relationship between dose history and response deviation. Results are presented which demonstrate that, when combined with an appropriate input function, this method has the potential for overcoming the problems associated with short-term fatigue.
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