Comments on the Baseline Removal Method Based on Quantile Regression and Comparison of Several Methods

Several months ago, a paper by Komsta describing a method of baseline removal based on quantile regression for chromatographic datasets was published in this journal entitled Comparison of Several Methods of Chromatographic Baseline Removal with a New Approach Based on Quantile Regression. By comparing baseline removal methods based on polynomial, spline, loess and Whittaker smoother with the newly introduced method, Komsta concluded that the main advantage of this baseline removal method is visible better performance and short computational time. Unfortunately several wrong conclusions about the baseline removal methods based on Whittaker smoother contained in this paper. We feel that wrong conclusions about the baseline removal methods based on Whittaker smoother needs to be corrected so that it will not mislead the reader.