Application of a new mathematical function for describing chromatographic peaks.

Curve fitting seems to be one of the best methods for the evaluation of chromatographic signals. As it is known, in this case mathematical function is fitted to digitized measured points. The most important task is to find the 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 function was sought for with the purpose of describing different chromatographic signals and it was fitted to the digitized measured points. The fitted curve is suitable for a quick evaluation of chromatographic information, noise filtering and correction of baseline drift. The fitting of gas chromatographic and high-performance liquid chromatographic signals were completed. The mathematical function, the generated chromatographic curves, the application of the function for describing real signals and the fitting process will be demonstrated in this study.