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Peak-Tracking Algorithm for Use in Automated Interpretive Method-Development Tools in Liquid Chromatography
Author(s) -
Bob W.J. Pirok,
Stef R.A. Molenaar,
Liana S. Roca,
Peter J. Schoenmakers
Publication year - 2018
Publication title -
analytical chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.117
H-Index - 332
eISSN - 1520-6882
pISSN - 0003-2700
DOI - 10.1021/acs.analchem.8b03929
Subject(s) - chemistry , chromatography , sample (material) , retention time , mass spectrometry , analytical chemistry (journal) , similarity (geometry) , tracking (education) , algorithm , artificial intelligence , computer science , image (mathematics) , psychology , pedagogy
A peak-tracking algorithm for chromatograms recorded using liquid chromatography and mass spectrometry was developed. Peaks are tracked across chromatograms using the spectrometric information, the statistical moments of the chromatographic peaks, and the relative retention. The algorithm can be applied to pair chromatographic peaks in two very different chromatograms, obtained for different samples using different methods. A fast version of the algorithm was specifically tailored to process chromatograms obtained during method development or optimization, where a few similar mobile-phase-composition gradients (same eluent components, but different ranges and programming rates) are applied to the same sample for the purpose of obtaining model parameters to describe the retention of sample components. Due to the relative similarity between chromatograms, time-saving preselection protocols can be used to locate a candidate peak in another chromatogram. The algorithm was applied to two different samples featuring isomers. The automatically tracked peaks and the resulting retention parameters generally yielded prediction errors of less than 1%.

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