Use of near infrared spectroscopy to measure the chemical and mechanical properties of solid wood

• Published in: Wood science and technology Vol. 38; no. 4; pp. 257 - 276
• Main Authors: Kelley, S.S, Rials, T.G, Snell, R, Groom, L.H, Sluiter, A
• Format: Journal Article
• Language: English
• Published: Berlin Springer 01-07-2004; Springer Nature B.V
• Subjects: Applied sciences; Chemical composition; Correlation coefficient; Correlation coefficients; Evergreen trees; Exact sciences and technology; Forecasting; Infrared analysis; Infrared spectroscopy; Mechanical properties; modulus of elasticity; modulus of rupture; multivariate analysis; Near infrared radiation; near-infrared spectroscopy; Organic chemistry; physicochemical properties; Pine trees; Pinus taeda; Polymer industry, paints, wood; principal component analysis; Properties and testing; Spectrometers; Spectrum analysis; Statistical analysis; Statistical methods; Wood; wood chemistry; Wood. Paper. Non wovens; X-ray scattering; Correlation coefficient; Lignin; Elastic modulus; Chemical analysis; Statistical analysis; Microfibril; Rupture modulus; Mechanical properties; Softwood; Extract; Pinus; Multivariate analysis; Experimental study; PLS regression; Near infrared spectrometry; Gymnospermae; Coniferales; Spermatophyta; Chemical properties; Polysaccharide
• ISSN: 0043-7719; 1432-5225
• DOI: 10.1007/s00226-003-0213-5

Near infrared (NIR) spectroscopy (500 nm-2400 nm), coupled with multivariate analytic (MVA) statistical techniques, have been used to predict the chemical and mechanical properties of solid loblolly pine wood. The samples were selected from different radial locations and heights of three loblolly pine trees grown in Arkansas. The chemical composition and mechanical properties were measured with traditional wet chemical techniques and three point bending tests, respectively. The microfibril angle was measured with x-ray scattering. These chemical and mechanical properties were correlated with the NIR spectra using projection to latent structures (PLS) models. The correlations were very strong, with the correlation coefficients generally above 0.80. The mechanical properties could also be predicted using a reduced spectral range (650 nm-1150 nm) that should allow for field measurements of these properties using handheld NIR spectrometers.