Title
BARCHAN: Blob Alignment for Robust CHromatographic ANalysis.
Abstract
Two-dimensional gas chromatography (GC×GC) plays a central role into the elucidation of complex samples. The automation of the identification of peak areas is of prime interest to obtain a fast and repeatable analysis of chromatograms. To determine the concentration of compounds or pseudo-compounds, templates of blobs are defined and superimposed on a reference chromatogram. The templates then need to be modified when different chromatograms are recorded. In this study, we present a chromatogram and template alignment method based on peak registration called BARCHAN. Peaks are identified using a robust mathematical morphology tool. The alignment is performed by a probabilistic estimation of a rigid transformation along the first dimension, and a non-rigid transformation in the second dimension, taking into account noise, outliers and missing peaks in a fully automated way. Resulting aligned chromatograms and masks are presented on two datasets. The proposed algorithm proves to be fast and reliable. It significantly reduces the time to results for GC×GC analysis.
Year
DOI
Venue
2017
10.1016/j.chroma.2017.01.003
Journal of Chromatography A
Keywords
Field
DocType
Comprehensive two-dimensional gas chromatography,GC×GC,Data alignment,Peak registration,Automation,Chemometrics
Analytical chemistry,Comprehensive two-dimensional gas chromatography,Mathematical morphology,Outlier,Rigid transformation,Chemistry,Automation,Chemometrics,Chromatography,Template,Data structure alignment
Journal
Volume
ISSN
Citations 
1484
0021-9673
0
PageRank 
References 
Authors
0.34
6
6
Name
Order
Citations
PageRank
Camille Couprie1133774.61
Laurent Duval214516.66
Moreaud, M.342.08
Sophie Hénon400.34
Mélinda Tebib500.34
Vincent Souchon600.34