An experimental study of the efficiency of different statistical functions for the resolution of chromatograms with overlapping peaks

Joan Grimalt, Hortensia Iturriaga, Joaquim Olive

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17 Citations (Scopus)

Abstract

The effectiveness of different functions of statistical distribution (Gaussian, log-normal, gamma and Weibull) is examined for the deconvolution of chromatograms with overlapped peaks. A modified Gaussian function is also considered for comparison. The results obtained in the curve fitting of individual peaks, corresponding to diverse solutes run in polar, semi-polar and apolar columns, show that the log-normal function is generally the best for description of the chromatographic shapes. This function proved to be the most useful in the resolution of a test set of 32 overlapped chromatographic profiles prepared from mixtures of standards of known quantitative composition. © 1987.
Original languageEnglish
Pages (from-to)193-205
JournalAnalytica Chimica Acta
Volume201
Issue numberC
DOIs
Publication statusPublished - 1 Jan 1987

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