Abstract
Non-linear regression involving Gaussian, modified Gaussian or Weibull functions is currently used for deconvoluting fused chromatograms. In this paper, we report that deconvolution of fused chromatograms is a problem in constrained non-linear optimization and not an unconstrained problem as assumed by previous researchers. A modified version of the generalized exponential function is shown to fit chromatographic peaks using the Box-Complex method for constrained optimization. Previously reported problems of false fits do not occur with this method. Several deconvolutios on real size exclusion chromatographic data are shown to demonstrate the power of the technique.
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