Abstract
Abstract Six types of colorless commercial poly(ethylene terephthalate) polyester fibers (PET) from different manufacturers were investigated using two-dimensional high-performance liquid chromatography (HPLC). As to their peak structure and area distribution, their chromatograms differed only insignificantly. Therefore a possible use of multivariate pattern recognition techniques was checked for a PET fiber identification based upon a data set obtained through HPLC analysis. The results show that the application of cluster methods (dendrogram, display mapping, and potential density method) enables a classification into different manufacturers.
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