Abstract
Abstract A piezoelectric crystal sensor array has been prepared as a vapour sensing system by coating with 12 adsorptive materials selected using cluster analysis. The frequency shift data obtained from the array as the response patterns for the vapour of aliphatic alcohol homologues and isomers are treated by principal component analysis. The two-dimensional display of the original and autoscaled data show well-defined clusters for different alcohol homologues and isomers. The method has been used for discrimination of commercial beverage samples.
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