Two-dimensional correlation optimized warping algorithm for aligning GC x GC-MS data

Anal Chem. 2008 Apr 15;80(8):2664-71. doi: 10.1021/ac7024317. Epub 2008 Mar 20.

Abstract

A two-dimensional (2-D) correlation optimized warping (COW) algorithm has been developed to align 2-D gas chromatography coupled with time-of-flight mass spectrometry (GC x GC/TOF-MS) data. By partitioning raw chromatographic profiles and warping the grid points simultaneously along the first and second dimensions on the basis of applying a one-dimensional COW algorithm to characteristic vectors, nongrid points can be interpolatively warped. This 2-D algorithm was directly applied to total ion counts (TIC) chromatographic profiles of homogeneous chemical samples, i.e., samples including mostly identical compounds. For heterogeneous chemical samples, the 2-D algorithm is first applied to certain selected ion counts chromatographic profiles, and the resultant warping parameters are then used to warp the corresponding TIC chromatographic profiles. The developed 2-D COW algorithm can also be applied to align other 2-D separation images, e.g., LC x LC data, LC x GC data, GC x GC data, LC x CE data, and CE x CE data.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Amino Acids / analysis
  • Amino Acids / chemistry
  • Fatty Acids / analysis
  • Fatty Acids / chemistry
  • Gas Chromatography-Mass Spectrometry / methods*

Substances

  • Amino Acids
  • Fatty Acids