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The Log-Normal function can be used to model skewed line shapes. In general, for a response curve in a chromatographic experiment, the peaks should be Gaussian. In most cases though, the resultant peaks tend to be a very complicated line shape culminating from a variety of events such as diffusion related or chemically related processes. These influences can come from the choice of column used as well as the choice of detector. In this case, the peaks appear to be asymmetric with tails that either precede or follow the peak maximum, the steepness of which can be quite severe. In this case, the complex peak shape is best modeled using the Log-Normal line shape. Since the Log-Normal function is an asymmetric function, it can fit skewed data quite well. However, if information from the fit parameters describing the complex diffusion process is desired, using the Log-Normal line shape would not be the correct model for this purpose.
where  = half width ratio |
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