Design and Information Content of Arrays of Sorption-Based Vapor Sensors Using Solubility Interactions and Linear Solvation Energy Relationships

摘要: The sorption of vapors by the selective polymeric layer on a chemical vapor sensor is described in detail and dissected into fundamental solubility interactions. process modeled terms solvation parameters for properties linear energy relationships. latter relationships model log partition coefficient as sum related to specific types approaches are particularly applicable design understanding acoustic wave sensors such those based surface devices. It shown how an interactions informs selection polymers obtain diversity arrays maximum amount information. inherent dimensionality array data, analyzed principal components analysis, consistent with this formulation. Furthermore, it new chemometric methods have been developed extract information from responses serving descriptors detected vapor.