Short-cut fused-peak resolution method for chromatograms

Iterative curve fitting of chromatographic peaks

“…Least squares approximation methods of curve fitting for deconvoluting chromatographic peaks avoid many of the problems commonly encountered with less sophisticated data reduction techniques, such as differentiation in the presence of high frequency noise. It does require that a model function be assumed and this has generally been a simple exponentiated Gaussian (40)(41)(42). This model requires only that four variables be specified in order to define the peak shape.…”

The commercialization of bioinformatics

“…Once again, patents have become an issue. In April 1999, Glaxo Wellcome, SmithKline Beecham, Pfizer, AstraZeneca, Bayer, Bristol-Meyers Squibb, F. Hoffman-La Roche, Hoechst Marion Roussel, Novartis, and Searle pooled their money to form a consortium with the objective of discovering 300,00 SNPs (Roberts, 1999;Russo and Smaglik, 1999). The consortium members will release the data to the public as a preemptive strike against patenting the SNPs.…”

Gas chromatography

“…McNair and Cooke (582) monitored peak symmetry as a function of increasing sample volume by determination of the statistical moments of skewness and kurtosis. A rapid, easily programmed technique requiring only two data points per peak was developed for resolution of overlapping peaks (718), but the method assumes a Gaussian shaped peak. An algorithm and FORTRAN program for the evaluation of the area of unresolved chromatographic peaks, even those strongly asymmetric, have also been published (732).…”