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Analytical and Bioanalytical Chemistry

, Volume 390, Issue 1, pp 281–285 | Cite as

Solving fundamental problems in chromatographic analysis

  • Thomas Skov
  • Rasmus Bro
Trends

Introduction

Chromatographic analytical systems are being increasingly used for analysis of complex samples, for example, in metabonomics and food analysis. Hyphenated separation techniques (multidimensional) such as LC–MS, GC–MS, and HPLC–UV are intensively used for obtaining detailed qualitative and quantitative information. The samples are typically of a much more complex nature than in traditional analytical chemical applications and this poses problems for the traditional approaches for handling such data.

Multidimensional techniques have been used for many decades and many approaches have been put forward to deal with data when having perfect resolution of the eluting peaks. However, with more complex samples and/or the need for faster chromatographic runs, perfect separation cannot always be achieved (Fig.  1). Traditional data analysis relying on resolved peaks would, even with additional mass spectral information, fail to find the underlying analytes if the overlap is too...

Keywords

Elution Profile Chromatographic Data PARAFAC2 Model Elute Analytes Correlation Optimize Warping 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag 2007

Authors and Affiliations

  1. 1.Quality and TechnologyUniversity of CopenhagenFrederiksberg CDenmark

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