title: GC-IR based two-dimensional structural group analysis of petroleum products.
abstract: To characterize petroleum products, a method based on the combination of IR-spectrometric structural group analysis, GC-simulated boiling analysis and multivariate regression techniques (PLS, PCR) has been developed. The best performance was achieved by a PLS regression model with six aliphatic and aromatic structural groups. Thereby, structural group distribution related to the boiling temperature could be obtained in order to quantify product-specific distribution parameters and to control material-conversion processes caused by biodegradation.
authors.affiliation: Department of Chemical Engineering, University of Applied Science, Friedrich-List-Platz 1, D-01069, Dresden, Germany. kempejo@mw.htw-dresden.de
authors.forename: J
authors.initials: J
authors.lastname: Kempe
authors.forename: C
authors.initials: C
authors.lastname: Bellmann
authors.forename: D
authors.initials: D
authors.lastname: Meyer
authors.forename: F
authors.initials: F
authors.lastname: Windrich