Fourier Analysis of Multicomponent Chromatograms. Numerical Evaluation of Statistical Parameters

Attila Felinger, Luisa Pasti, Pierluigi Reschiglian, Francesco Dondi

Research output: Contribution to journalArticle

41 Citations (Scopus)

Abstract

A procedure based on the power spectrum (PS) model of a multicomponent chromatogram is introduced by which the number m of detectable components (or single-component peaks) and the parameters of the single-component peak such as standard deviation and asymmetry factor can be evaluated. In essence, when fitted to theoretical models, the experimental PS-expressing the chromatographic response variance dependence on the time distance-provides the Information necessary to accept or reject the model and to give the necessary parameter estimations. The procedure is tested by using computer-generated multicomponent chromatograms with Poissonian retention time distribution and random and uncorrelated peak heights, in which density, asymmetry and height distribution are widely varied. How to obtain unbiased PS numerical determination by windowing is also discussed. It Is shown that unbiased parameter estimations are obtained, the only procedure limitation being the approximation made In the evaluation of the single-component peak height dispersion. An example Is given of how a retention time distribution other than the Poissonian can be detected.

Original languageEnglish
Pages (from-to)1854-1860
Number of pages7
JournalAnalytical Chemistry
Volume62
Issue number17
DOIs
Publication statusPublished - Sep 1 1990

ASJC Scopus subject areas

  • Analytical Chemistry

Fingerprint Dive into the research topics of 'Fourier Analysis of Multicomponent Chromatograms. Numerical Evaluation of Statistical Parameters'. Together they form a unique fingerprint.

  • Cite this