Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9748184 | Journal of Analytical and Applied Pyrolysis | 2005 | 9 Pages |
Abstract
Analytical pyrolysis combined with gas chromatography and mass spectrometry (Py-GC-MS) is a relatively rapid (1-3Â h) method for the investigation of polymers. Various wood tissues from transgenic poplar clones and from control samples have been subjected to a screening test by Py-GC-MS. Pyrolysis products from lignin- and carbohydrate-derived pyrolysis products were subjected to multivariate principal component analysis (PCA). The first three PC accounting for 39-72% of the total variance in the original data set could be attributed to vinyl products from lignin and levoglucosan from cellulose. Samples with gene construct rbcs-rol C were only discriminated by plotting PC1 versus PC3 using the whole data set. However, the wood from trees containing gene construct 35 S-rol C were discriminated in all examined models indicating significant impacts during biosynthesis of the wood. One sample within the data set was further clustered because it turned out that this tree died off after two vegetation periods.
Related Topics
Physical Sciences and Engineering
Chemistry
Analytical Chemistry
Authors
Dietrich Meier, Ingrid Fortmann, Jürgen Odermatt, Oskar Faix,