Abstract
The use of calibrated near infrared (NIR) spectroscopy for predicting the chemical composition of Pinus taeda L. (loblolly pine) wood samples is investigated. Seventeen P. taeda radial strips, representing seven different sites were selected and NIR spectra were obtained from the radial longitudinal face of each strip. The spectra were obtained in 12.5 mm sections from pre-determined positions that represented juvenile wood (close to pith), transition wood (zone between juvenile and mature wood), and mature wood (close to bark). For these sections, cellulose, hemicellulose, lignin (acid soluble and insoluble), arabinan, galactan, glucan, mannan, and xylan contents were determined by standard analytical chemistry methods. Calibrations were developed for each chemical constituent using the NIR spectra, wood chemistry data and partial least squares (PLS) regression. Relationships were variable with the best results being obtained for cellulose, glucan, xylan, mannan, and lignin. Prediction errors were high and may be a consequence of the diverse origins of the samples in the test set. Further research with a larger number of samples is required to determine if prediction errors can be reduced.
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References
Birkett MD, Gambino MJT (1988) Potential applications for near-infrared spectroscopy in the pulping industry. Pap S Afr November/December: 34–38
Easty DB, Malcolm EW (1982) Estimation of pulping yield in continuous digesters from carbohydrate and lignin determinations. Tappi J 65(12):78–80
Evans R (1997) Rapid scanning of microfibril angle in increment cores by x ray diffractometry. In: Microfibril Angle in Wood. Proceedings of the IAWA / IUFRO International Workshop on the Significance of Microfibril Angle to Wood, Westport, New Zealand, B.G. Butterfield, University of Canterbury Press, 116–139
Garbutt DCF, Donkin MJ, Meyer JH (1992) Near-infrared reflectance analysis of cellulose and lignin in wood. Pap S Afr April:45–48
Jones P, Schimleck L, Peter G, Daniels R, Clark A (2005a) Non-destructive estimation of Pinus taeda L tracheid morphological characteristics for samples from a wide range of sites in Georgia. Wood Sci Technol 39(7):529–545
Jones PD, Schimleck LR, Peter GF, Daniels RF, Clark III A (2005b) Nondestructive estimation of Pinus taeda L. wood properties for samples from a wide range of sites in Georgia. Can J For Res 35(1):85–92
Kelley SS, Rials TG, Snell R, Groom LH, Sluiter A (2004) Use of near infrared spectroscopy to measure the chemical and mechanical properties of solid wood. Wood Sci Technol 38(4):257–276
Li B, McKeand S, Weir R (1999) Tree improvement and sustainable forestry—impact of two cycles of loblolly pine breeding in the USA. For Genet 6(4):229–234
Michell AJ (1995) Pulpwood quality estimation by near-infrared spectroscopic measurements on eucalypt woods. Appita J 48(6):425–428
Osborne BG, Fearn T, Hindle PT (1993) Practical NIR spectroscopy with applications in food and beverage analysis. Longman food technology. Longman Scientific & Technical, Wiley, New York, pp 227
Poke FS, Raymond CA (2006) Predicting extractives, lignin and cellulose contents using near infrared spectroscopy on solid wood in Eucalyptus globulus. J Wood Chem Technol, (In Press)
Pronto MB (1998) Carbohydrate analysis of pulp using high-performance anion-exchange chromatography with pulsed amperometric detection: a comparison of two detector settings, pulping conference, Montreal Canada, TAPPI, pp 1477–1484
Schimleck LR, Evans R (2002a) Estimation of microfibril angle of increment cores by near infrared spectroscopy. IAWA J 23(3):225–234
Schimleck LR, Evans R (2002b) Estimation of wood stiffness of increment cores by near infrared spectroscopy: The development and application of calibrations based on selected cores. IAWA J 23(3):217–224
Schimleck LR, Evans R, Ilic J (2001) Estimation of Eucalyptus delegatensis wood properties by near infrared spectroscopy. Can J For Res 31(10):1671–1675
Schimleck LR, Jones PD, Peter GF, Daniels RF, Clark A (2004a) Nondestructive estimation of tracheid length from sections of radial wood strips by near infrared spectroscopy. Holzforschung 58(4):375–381
Schimleck LR, Kube PD, Raymond CA (2004b) Genetic improvement of kraft pulp yield in Eucalyptus nitens using cellulose content determined by near infrared spectroscopy. Can J For Res 34(11):2363–2370
Shenk JS, Workman JJ, Westerhaus MO (1992) Application of NIR spectroscopy to agricultural products, Handbook of Near-Infrared Analysis, Practical spectroscopy; vol 13. Marcel Dekker, New York, pp. 385–386
Sykes R, Li BL, Hodge G, Goldfarb B, Kadla J, Chang H-M (2005) Prediction of loblolly pine wood properties using transmittance near-infrared spectroscopy. Can J For Res 35(10):2423–2431
Williams PC, Sobering DC (1993) Comparison of commercial near infrared transmittance and reflectance instruments for the analysis of whole grains and seeds. J Near Infrared Spectrosc 1(1):25–33
Wright JA, Birkett MD, Gambino MJT (1990). Prediction of pulp yield and cellulose content from wood samples using near-infrared reflectance spectroscopy. Tappi J 73(8):164–166
Yeh TF, Chang HM, Kadla JF (2004) Rapid prediction of solid wood lignin content using transmittance near-infrared spectroscopy. J Agric Food Chem 52(6):1435–1439
Acknowledgments
The authors thank the UGA Wood Quality Consortium for sample collection and preparation and the Georgia TIP3 program for funding the wood chemistry analysis necessary for this study. The authors would also like to thank the UGA Wood Quality Consortium for sample preparation, Mike Murphy for collecting the NIR spectra, and Mike Buchanan, Rallming Yang, and Kathleen Poll at IPST for the chemical analysis.
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Jones, P.D., Schimleck, L.R., Peter, G.F. et al. Nondestructive estimation of wood chemical composition of sections of radial wood strips by diffuse reflectance near infrared spectroscopy. Wood Sci Technol 40, 709–720 (2006). https://doi.org/10.1007/s00226-006-0085-6
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DOI: https://doi.org/10.1007/s00226-006-0085-6