Development of an algorithm for peak detection in comprehensive two-dimensional chromatography

Sonja Peters, Gabriel Vivo-Truyols, Philip Marriott, Peter Schoenmakers

Research output: Contribution to journalArticleResearchpeer-review

67 Citations (Scopus)

Abstract

A method for peak detection in two-dimensional chromatography is presented. The algorithm applies first the methods developed for peak detection in one-dimensional chromatography to detect peaks in one dimension. In a second step, a decision tree is applied to decide which one-dimensional peaks are originated from the same compound and have to be merged into one two-dimensional peak. To this end, different features of the peaks (second-dimension peak regions and second-dimension retention times) are compared and different criteria (common peak regions, retention time differences, unimodality in the first dimension) are applied. Different options can be used, depending on the nature of the data. The user controls this decision tree by establishing several options and switches . The algorithm was tested with GC x GC chromatograms obtained for a commercial air-freshener sample, detecting and merging the modulated peaks belonging to the same compound. Recommendations for the set of options and switches are given. A utility that calculates and sums peak areas from merged peaks is added to facilitate automated quantification. Although the algorithm was developed for GC x GC, its application to comprehensive two-dimensional liquid chromatography (LC x LC) data should at most require minor modifications.
Original languageEnglish
Pages (from-to)14 - 24
Number of pages11
JournalJournal of Chromatography A
Volume1156
Issue number1-2
DOIs
Publication statusPublished - 2007
Externally publishedYes

Cite this