Resolution of multicomponent chromatograms by window factor analysis with wavelet transform preprocessing

Abstract

The resolution and quantitative determination of multicomponent chromatograms with noise were investigated using wavelet transform and window factor analysis (WFA). It was proved that wavelet transform is a very powerful technique for noise filtering and that quantitative results by WFA can be greatly improved for a noisy chromatographic data matrix by wavelet transform preprocessing. © 1998 John Wiley & Sons, Ltd.

Comparison of two methods for extraction of dill essential oil by gas chromatography-mass spectrometry coupled with chemometric resolution techniques

“…This justifies a growing number of research in the challenging field of the resolution of overlapping signals. [25][26][27][28][29][30][31][32] Chemometricians have made considerable efforts to develop methods to resolve overlapping signals from complex samples. The multivariate curve resolution (MCR) has been shown to be a powerful tool for the investigation of complex chemical systems, particularly for the investigation of chemical systems about which there was little or no previous knowledge.…”