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- Title
GC-IR based two-dimensional structural group analysis of petroleum products.
- Authors
Kempe, J.; Bellmann, C.; Meyer, D.; Windrich, F.
- 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.
- Subjects
GAS chromatography; INFRARED spectroscopy; PETROLEUM products; HYDROCARBONS; MULTIVARIATE analysis; REGRESSION analysis
- Publication
Analytical & Bioanalytical Chemistry, 2005, Vol 382, Issue 1, p186
- ISSN
1618-2642
- Publication type
Article
- DOI
10.1007/s00216-005-3163-y