Affordable Access

Publisher Website

Comparison of Several Methods of Chromatographic Baseline Removal with a New Approach Based on Quantile Regression

Authors
Journal
Chromatographia
0009-5893
Publisher
Springer-Verlag
Publication Date
Volume
73
Identifiers
DOI: 10.1007/s10337-011-1962-1
Keywords
  • Original
Disciplines
  • Computer Science

Abstract

The article is intended to introduce and discuss a new quantile regression method for baseline detrending of chromatographic signals. It is compared with current methods based on polynomial fitting, spline fitting, LOESS, and Whittaker smoother, each with thresholding and reweighting approach. For curve flexibility selection in existing algorithms, a new method based on skewness of the residuals is successfully applied. The computational efficiency of all approaches is also discussed. The newly introduced methods could be preferred to visible better performance and short computational time. The other algorithms behave in comparable way, and polynomial regression can be here preferred due to short computational time.

There are no comments yet on this publication. Be the first to share your thoughts.