Identification of fibers by means of multivariate analysis of pyrograms

Abstract

Multivariate analysis was applied to identification of fibers using a personal computer. Individual pyrograms of 37 known fibers were obtained by pyrolysis GC. These pyrograms were divided into twelve sections in terms of retention time in each pyrogram. In all pyrograms, relative values (1~6) were given for each of 24 sections based on the peak height or peak area. These data were used for the multivariate analysis such as cluster analysis, quantification IV, principal component analysis and factor analysis. Unknown samples were compared with the 37 known fiber samples, using cluster distance, principal component score and factor score. © 1990, The Japan Society for Analytical Chemistry. All rights reserved.