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
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
