Abstract
This review article covers developments in multidimensional separations combined with chemometrics that were published in 2008 through 2010, specifically for multidimensional gas chromatography, liquid chromatography, and electrophoresis. Although different instrumentation is used to generate multidimensional separations data, many similar data processing options and chemometrics can be applied in order to objectively distill the data into useful knowledge while reducing manual analysis and preserving data integrity. This review article describes the chemometrics employed in the referenced studies in terms of unsupervised, supervised, preprocessing, resolution, and image analysis algorithms. Other factors that affect converting data into useful knowledge are the structure of the data and the format of the data submitted to the analysis methods, so the studies are also described in terms of data dimensionality and data format (i.e., whether peak tables or raw data points were analyzed).
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