Abstract
The effectiveness of the log-normal function for curve fitting of one-line acquired chromatograms and calculation of peak parameters such as number of theoretical plates, skew, and excess is evaluated. This distribution function is now expressed in terms of chromatographically significant variables (height, retention time, width, asymmetry factor), and equations for the calculations of these peak parameters as well as area, mean, and variance are developed. The resulting parameters are compared with those calculated with other chromatographic shape models such as the Gaussian and Exponentially Modified Gaussian (EMG) functions, as well as the Gram-Charlier (GC) and the Edgeworth-Cramer (EC) series
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