Abstract
A new approach to multi-channel chromatographic data processing is introduced, based on the treatment of a chromatogram as a curve in multi-dimensional space. Each coordinate in this space is the signal-to-noise ratio for one detector. Every point in the space represents one spectrum-set of detector responses. Multi-dimensional space mathematics applied to the analysis of the chromatogram allows one to obtain individual substance detection profiles for overlapped peaks in the case of known spectra of each component, analyse peaks for homogeneity and determine the number of substances in overlapped peaks and their elution profiles without a prior knowledge of their spectra. All these tasks are solved with maximum accuracy owing to the principles of space coordinates construction. Theoretical considerations are illustrated by the results obtained for multi-wavelength chromatograms measured with a Milichrom chromatograph.
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