Qualitative and quantitative analysis of wood samples by Fourier transform
infrared spectroscopy and multivariate analysis

Year: 2010

Authors: Chen H., Ferrari C., Angiuli M., Yao J., Raspi C., Bramanti E.

Autors Affiliation: Key Laboratory of Biogeology and Environmental Geology of Chinese Ministry of Education & School of Environmental Studies & Sino-Hungarian Joint Laboratory of Environmental Science and Health, China; University of Geosciences, 430074 Wuhan, PR China; Italian National Research Council-Istituto per i Processi Chimico-Fisici, Laboratory of Instrumental Analytical Chemistry, Via G. Moruzzi 1, 56124 Pisa, Italy; C.G.S. s.a.s. Via del Borghetto, Pisa, Italy

Abstract: Fourier transform infrared (FTIR) spectroscopy, in combination with multivariate analysis, enable the analysis of wood samples without time-consuming sample preparation. The aim of our work was to analysis the wood samples qualitatively and quantitatively by FTIR spectroscopy. A Van Soest method to determine the lignin, cellulose and hemicellulose content, was used as reference method. Multivariate calibration was performed based on first derivative of the FUR spectra in the wave number range from 1900 to 800 cm(-1), using principal component analysis (PCA), hierarchical cluster analysis (HCA) and partial least-squares (PLS) chemometric methods. Multivariate calibration models for FTIR spectroscopy have been developed. Using PCA and HCA approach, wood samples were classified as softwoods and hardwoods while wood samples with and without treatments were labeled as wood, neutral detergent solution fiber (NDSF), acid detergent solution fiber (ADSF) and strong acid solution fiber (SASF). Furthermore, PLS regression method was applied to correlate lignin, cellulose and hemicellulose contents in wood samples with the FTIR spectral data. The models\’ refinement procedure and validation was performed by cross-validation. Although a wide range of input parameters (i.e., various wood species) was used, highly satisfactory results were obtained with the root-mean-square errors for the contents of lignin, cellulose and hemicellulose are 1.51, 0.96 and 0.62%, respectively. This study showed that FTIR spectra have the potential to be an important source of information for a quick evaluation of the chemical composition of wood samples. (C) 2010 Elsevier Ltd. All rights reserved.


Volume: 82 (3)      Pages from: 772  to: 778

More Information: Huilun Chen would like to acknowledge the financial support from the Chinese Scholarship Council (CSC) and Zhiguo Xia from China University of Geosciences (Beijing) for helpful discussions.
KeyWords: Classification; Fourier transform infrared spectroscopy; Multivariate analysis; Wood
DOI: 10.1016/j.carbpol.2010.05.052

Citations: 225
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