Mixtures Analysis of Complex Mixtures
Poster Sep 04, 2014
Michael Bernstein; Carlos Cobas; Santi Domínguez; Manuel Pérez; Agustín Barba
We have briefly described an approach to the problem that can be applied when part or all of one multiplet can be clearly seen for each component [1,2]. Building on a quick and powerful Global Spectrum peak Deconvolution (GSD), the method has at its heart the capability for users to define their “solutions” with total flexibility. This approach can be easily applied to relatively simple cases such as edible oils, Aloe vera, and beer analysis. Red wine analysis is much more complex, but the technique has a validated application here as well, identifying >50 components. 
We will explain this new approach and show its utility with mixtures analysis and application to real analysis problems of varying complexity.