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Deconvolution of overlapping HPLC aromatic hydrocarbons peaks using Independent Component Analysis ICA

Pasadakis Nikos, Gaganis Vasileios, Smaragdis, Paris, Varotsis Nikolaos

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Περίληψη

Chemometric methods like Principal Component Analysis (PCA) and Evolving Factor Analysis(EFA) have been applied to improve peaks separation, especially in HPLC UV-DAD analysis.In this work, the Independent Component Analysis (ICA) was adopted for the separation ofoverlapping aromatic peaks and the simultaneous determination of the underlying spectra. Theapplication of the method on middle petroleum fractions showed an improved separationbetween the aromatic groups compared to the previously used methods. The determined by theICA method UV spectra of the component groups can be further exploited for the compositionalcharacterization of the aromatic fractions.

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