Curve fitting seems to be one of the best methods for the evaluation of chr
omatographic signals. As it is known, in this case mathematical function is
fitted to digitized measured points. The most important task is to find th
e best mathematical function, which corresponds perfectly to the peak shape
, and then to determine the parameters of the equation using a computerized
least-squares method of approximation. In this work, a new mathematical fu
nction was sought for with the purpose of describing different chromatograp
hic signals and it was fitted to the digitized measured points. The fitted
curve is suitable for a quick evaluation of chromatographic information, no
ise filtering and correction of baseline drift. The fitting of gas chromato
graphic and high-performance liquid chromatographic signals were completed.
The mathematical function, the generated chromatographic curves, the appli
cation of the function for describing real signals and the fitting process
will be demonstrated in this study. (C) 2001 Elsevier Science B.V. All righ
ts reserved.