[Zurück]

A. Hobro, J. Kuligowski, M. Döll, B. Lendl:
"Differentiation of walnut wood species steam treatment using ATR-FTIR and partial least squares discriminant analysis (PLS-DA)";
Analytical and Bioanalytical Chemistry, 398 (2010), S. 2713 - 2722.

Wood is a ubiquitous material used in everyday
life. Accurate identification of species can be of importance
in a historical context enabling appropriate conservation
treatment and adequate choice of material to be applied to
historic wooden objects, and in a more modern context, in
the identification of forgeries. Wood is also often treated to
improve certain physical characteristics, often strength and
durability. However, determination of whether or not a
piece of wood has been treated can be very difficult.
Infrared spectroscopy has previously been applied to
differentiate between different wood species or between
treated and untreated wood, often in conjunction with
chemometric analysis techniques. Here, we report the use
of mid-IR spectroscopy, coupled with partial least squares
discriminant analysis for the discrimination between two
walnut wood species and to differentiate between steamtreated
and untreated samples of each of these wood
species. We show that the discrimination between species
and between steam-treated and non-steam-treated wood
from Juglans nigra is very clear and, while analysis of the
quality of the discrimination between steam-treated and
non-steam-treated J. regia samples is not as good, it is,
nevertheless, sufficient for discrimination between the two
groups with a statistical significance of P<0.0001.

Walnut wood, steam treatment, species differentiation, infrared spectoscopy, PLS-DA

http://dx.doi.org/10.1007/s00216-010-4199-1