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Rio, Jose C. / Laine, Christiane / Potthast, Antje / Takano, Toshiyuki / Theliander, Hans


International Journal of the Biology, Chemistry, Physics, and Technology of Wood

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A multivariate approach to the acetylated poplar wood samples by near infrared spectroscopy

İpek Çelen1 / David Harper2 / Nicole Labbé3

1Forest Products Center, University of Tennessee, Knoxville, TN, USA

2Forest Products Center, University of Tennessee, Knoxville, TN, USA

3Forest Products Center, University of Tennessee, Knoxville, TN, USA

Corresponding author. Forest Products Center, University of Tennessee, 2506 Jacob Dr., Knoxville, TN 37996, USA Fax: +1-865-946-1109

Citation Information: Holzforschung. Volume 62, Issue 2, Pages 189–196, ISSN (Online) 1437434X, ISSN (Print) 00183830, DOI: https://doi.org/10.1515/HF.2008.048, February 2008

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Yellow poplar (Liriodendron tulipifera L.) wood flour was chemically modified with acetic anhydride at varying times and initial moisture contents at a constant temperature. All samples exhibited increasing weight gains in the range of 5–16% with increasing reaction or treatment time. The acetylated poplar wood flour was characterized by means of Fourier transform infrared spectroscopy and near infrared (NIR) spectroscopy. Principal component analysis performed on the spectral data revealed clusters according to the esterification level. Partial least squares regression models developed from NIR data were able to predict the weight gain and the percentage of reacted OH groups. The correlations show that there is a direct and linear relationship between the spectra and the weight percentage gain and, therefore, the degree of acetylation.

Keywords: acetylation; multivariate analysis; near infrared spectroscopy (NIR); partial least squares (PLS) regression; principal component analysis (PCA); weight percentage gain (WPG)

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