Abstract
Our purpose was to develop a FTIR spectroscopic method to be used to
determine the lignin content in a large number of samples and to apply this
method studying variation in sapwood and heartwood lignin content between
three fast-growing cutting clones grown in three sites. Models were estimated
with 18 samples and tested with 6 samples for which the Klason lignin + acid
soluble lignin content had been determined. Altogether 272 candidate models
were built with all-subset regressions from the principal components estimated
from differently treated transmission spectra of the samples; the spectra
were recorded on KBr pellets of sieved and unsieved unextracted wood powder
and subjected to four different preprocessings and two different wavenumber
selection schemes. The final model showed an adequate fit in the estimation
data (R2 = 0.74) as well as a good prediction performance in the
test data (R2P = 0.90). This model was based on the wavenumber
range of 1850–500 cm–1 of the line-subtraction-normalised spectra recorded
from sieved samples. The model was used to predict lignin content in 64
samples of the same material. One of the clones had a slightly lower sapwood
lignin content than the two other clones. The fertile growing site with fast
growing trees showed slightly higher sapwood lignin content compared with the
other two sites. The model was also used to predict the lignin content in the
earlywood of 45 individual annual rings. Variation between individual stems
and between annual rings was found to be large. No correlation was found
between the lignin content and density of earlywood.
Original language | English |
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Pages (from-to) | 351–371 |
Journal | Silva Fennica |
Volume | 41 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2007 |
MoE publication type | A1 Journal article-refereed |
Keywords
- FTIR
- lignin
- Norway spruce
- PCR
- principal component regression