A Method for Chemometric Classification of Unknown Vapors from the Responses of an Array of Volume-Transducing Sensors

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• 作者：Jay W. Grate and Barry M. Wise
• 刊名：Analytical Chemistry
• 出版年：2001
• 出版时间：May 15, 2001
• 年：2001
• 卷：73
• 期：10
• 页码：2239 - 2244
• 全文大小：52K
• 年卷期：v.73,no.10(May 15, 2001)
• ISSN：1520-6882

文摘

A method for the characterization and classification ofunknown vapors based on the responses on an array ofpolymer-based volume-transducing vapor sensors is presented. Unlike conventional pattern recognition methods,the sensor array pattern vector is converted into anothervector containing vapor descriptors. Equations are developed to show how this approach can be applied to arraysof sensors where each sensor responds to the fractionalvolume increase of the polymer upon vapor sorption. Thevapor sorption step of the response is modeled with linearsolvation energy relationships using solvation parametersas vapor descriptors. The response model also includesthe vapor concentration, the sensitivity to fractionalvolume increases, and the specific volume of the vaporas a liquid. The response model can be solved for thevapor descriptors given the array responses and sensitivityfactors, following an approach described previously forpurely gravimetric sensors. The vapors can then beclassified from a database of candidate vapor descriptors.Chemiresistor vapor sensors coated with composite polymer films containing conducting particles represent avolume-transducing sensor technology to which this newclassification method should apply. Preliminary equationsare also presented for sensors that respond on the basisof both the mass and the volume of a sorbed vapor.Surface acoustic wave sensors with acoustically thinpolymer films that respond to both mass and moduluseffects may fit this classification approach.