Authors: T Adam T Ferge S Mitschke T Streibel R R Baker R Zimmermann
Publish Date: 2004/12/15
Volume: 381, Issue: 2, Pages: 487-499
Abstract
Pyrolysis singlephoton ionisation SPI–timeofflight mass spectrometry TOFMS and statistical analysis techniques have been applied to differentiate three major tobacco types Burley Virginia and Oriental by means of the gas phase SPI is known as a soft ionisation technique that allows fast and comprehensive online monitoring of a large variety of aliphatic and aromatic substances without fragmentation of the molecule ions The tobacco samples were pyrolysed at 800°C in a nitrogen atmosphere The resulting pyrolysis gas contained signals from more than 70 masses between m/z 5 and 170 Mass spectra obtained were analysed by principal component analysis PCA and linear discriminant analysis LDA to distinguish between different tobacco types Prior variable reduction of the data set was carried out by calculation of the Fisher ratios Results achieved give information about chemical composition and characteristics of the smoke derived from each tobacco type and enable conclusions on plant cultivation to be drawn Based on LDA a model for tobacco type recognition of unknown samples was established which was crosschecked by additional measurements of each tobacco type Furthermore first results on the recognition of tobacco mixtures based on principal component regression PCR are presented
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