Welcome to the ENose Toolbox!
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These pages contain a framework of models, theory, and data to support the design, understanding, and analysis of chemical and biological sensor systems. One of the primary obstacles to simulating chemical and biological sensor systems is the lack of through/across variable that can be used to effectively isolate and model the behavior of each element in these systems. To overcome this obstacle, we address system design from a combination of theory and empirical background. The overall goal of the toolbox is not to fully model the chemistry of each sensor, but to provide a means for understanding the impact of basic sensing, transduction, and peripheral influences (noise, ambient temperature and humidity, drift, etc.) on the behavior of collections of these systems.
The first edition of the toolbox contains basic theoretical models of each type of sensor and empirical data (collected from the literature, existing data in our laboratory at UW, and other sources) to support the theory for particular functionalized sensor layers and analytes. The first edition is well suited to either a (a) first cut of sensor systems design: what types of sensors do I use? as well as (b) an instructional tool. Subsequent editions of the toolbox will take into account the effects of interferents, the impact of the sensor on the electronic interface, and similar factors in completing simulation of system performance.
We encourage your use of the Toolbox as well as your comments and suggestions:
All code and data files are provided in Matlab format (.m or .mat).