Rapid Assessment of Southern Pine Decayed by <i>G. Trabeum</i> by Near Infrared Spectra Collected from the Radial Surface

Authors

  • Benny Green
  • P. David Jones
  • Laurence R. Schimleck
  • Darrel D. Nicholas
  • Rubin Shmulsky

Keywords:

Near infrared spectroscopy, decay, southern pine, <i>Gloeophyllum trabeum</i>

Abstract

The use of near infrared (NIR) spectroscopy for predicting levels of degradation in southern pine (Pinus spp.) by Gloeophyllum trabeum for periods over 1-8 da was investigated. NIR spectra collected from the center of the radial face of each sample after laboratory soil block decay tests were used to develop calibrations. Calibrations were developed for mass loss, compression strength, and exposure period using data measured from prior methods and untreated and mathematically treated (multiplicative scatter correction and first and second derivative) NIR spectra from various ranges of wavelengths by partial least squares regression. Strong relationships were derived from the calibrations with the strongest R2 values of 0.97 (exposure period), 0.94 (compression strength), and 0.91 (mass loss). Calibrations for exposure period showed the strongest statistics for predicting wood decay of the validation test set (R2 = 0.92; RPDp [ratio of the standard deviation of the measured data to the standard error of prediction] = 3.95 [first derivative, 1100-2250 nm]), while predictions for mass loss of the decayed samples resulted in R2 = 0.86 and an RPDp = 3.17 (multiplicative scatter correction, 1100-2500 nm), and the strongest compression strength prediction resulted in R2 = 0.76 and an RPDp = 2.50 (second derivative, 1100-2500 nm). These results suggest that NIR spectroscopy can adequately predict wood decay from spectra collected from the radial face of southern pine.

References

AWPA (2009) Standard accelerated laboratory method for testing the efficacy of preservatives against wood decay fungi using compression strength. E22-09. American Wood Protection Association, Birmingham, AL.nFackler K, Schwanninger M, Gradinger C, Hinterstoisser B, Messner K (2007a) Qualitative and quantitative changes of beech wood degraded by wood-rotting basidiomycetes monitored by Fourier transform infrared spectroscopic methods and multivariate data analysis. FEMS Microbiol Lett 271(2):162-169.nFackler K, Schwanninger M, Gradinger C, Srebotnikl E, Hinterstoisser B, Messner K (2007b) Fungal decay of spruce and beech wood assessed by near-infrared spectroscopy in combination with uni- and multivariate data analysis. Holzforschung 61(6):680-687.nFerraz A, Mendonca R, Guerra A, Ruiz J, Rodriguez J, Baeza J, Freer J (2004) Near-infrared spectra and chemical characteristics of Pinus taeda (Loblolly pine) wood chips biotreated by the white-rot fungus Ceriporiopsis subvermispora. J Wood Chem Technol 24(2):99-113.nGoodell B, Qian Y, Jellison J (2008) Fungal decay of wood: Soft rot-brown rot-white rot. Pages 9-31 in TP Schultz, ed. American Chemical Society, Cellulose and Renewable Materials Division. D Nicholas, H Militz, MH Freeman, and B Goodell, eds. Development of commercial wood preservatives: Efficacy, environmental, and health issues. American Chemical Society, Distributed by Oxford University Press, Washington, DC.nGreen B (2010) Rapid non-destructive assesment of wood decay by near infared spectoscopy. MS Thesis, Mississippi State University, Starkville, MS. 94 pp.nGreen F, Highley T (1997) Mechanism of brown-rot decay: Paradigm or paradox. Int Biodeter Biodegr 39(2-3): 113-124.nHighley TL (1999) Biodeterioration of wood. Chaper 13. Wood handbook: Wood as an engineering material. GenTech Rep FPL-GTR-113. USDA For Serv Forest Products Laboratory, Madison, WI. 463 pp.nHoward JL, Westby R (2009) US Forest Products annual market review and prospects, 2005-2009. FPL-RN-0313.nJellison J, Kelly S, Goodell B, Hui D, Ostrofsky A (2002) Differences in pH, electrical resistance, cation composition and NIR spectra of red spruce wood during early stages of brown rot degradation. International Research Group on Wood Preservation IRG/WP 02-10449. Cardiff, Wales, UK. Pages 10-11.nJones PD, Schimleck L, Peter G, Daniels R, Clark A III (2006) Nondestructive estimation of wood chemical composition of sections of radial wood strips by diffuse reflectance near infrared spectroscopy. Wood Sci Technol 40:709-720.nJones PD, Schimleck LR, Peter GF, Daniels RF, Clark A III (2005) Nondestructive estimation of Pinus taeda L. wood properties for samples from a wide range of sites in Georgia. Can J Res 35(1):85-92.nJones PD, Schimleck LR, So C-H, Clark A, Daniels RF (2007) High resolution scanning of radial strips cut from increment cores by near infrared spectroscopy. IAWA J 28(4):473-484.nKelley SS, Jellison J, Goodell B (2002) Use of NIR and pyrolysis-MBMS coupled with multivariate analysis for detecting the chemical changes associated with brown-rot biodegradation of spruce wood. FEMS Microbiol Lett 209(1):107-111.nKelley 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.nKumar P, Barrett DM, Delwiche MJ, Stroeve P (2009) Methods for pretreatment of lignocellulosic biomass for efficient hydrolysis and biofuel production. Ind Eng Chem Res 48(8):3713-3729.nMeder R, Thumm A, Marston D (2003) Sawmill trial of at-line prediction of recovered lumber stiffness by NIR spectroscopy of Pinus radiata cants. J Near Infrared Spectrosc 11(2):137-143.nMichell AJ, Schimleck LR (1996) NIR spectroscopy of woods from Eucalyptus globulus. Appita 49(1):23-26.nMiller RB (1999) Characteristics and availability of commercially important woods. Chapter 1. Wood handbook: Wood as an engineering material. Gen Tech Rep FPL-GTR-113. USDA For Serv Forest Products Laboratory, Madison, WI. 463 pp.nNæs T, Isaksson T, Fearn T, Davies T (2002) A user-friendly guide to multivariate calibration and classification. NIR, Chichester, UK. 344 pp.nNicholas D, Crawford D (2003) Concepts in the development of new accelerated test methods for wood decay. Pages 288-312 in B Goodell, DD Nicholas, and TP Schultz, eds. Wood deterioration and preservation: Advances in our changing world. American Chemical Society, Washington, DC.nOsborne BG, Fearn T, Hindle PT (1993) Practical NIR spectroscopy with applications in food and beverage analysis. Longman Scientific & Technical; Wiley, Harlow, Essex, UK. 227 pp.nRaymond CA, Schimleck LR (2002) Development of near infrared reflectance analysis calibrations for estimating genetic parameters for cellulose content in Eucalyptus globulus. Can J Res 32(1):170-176.nSchimleck LR, Evans R, Ilic J, Matheson AC (2002) Estimation of wood stiffness of increment cores by near-infrared spectroscopy. Can J Res 32(1):129-135.nSchimleck LR, Mora C, Daniels RF (2003) Estimation of the physical wood properties of green Pinus taeda radial samples by near infrared spectroscopy. Can J Res 33 (12):2297-2305.nSchimleck LR, Payne P, Wearne RH (2005) Determination of important pulp properties of hybrid poplar by near infrared spectroscopy. Wood Fiber Sci 37(3):462-471.nSchmidt O, Czeschlik D (2006) Wood rot. Pages 135-160 in O Schmidt ed. Wood and tree fungi: Biology, damage, protection, and use. Springer, Berlin, Germany.nSchmutzer M, Schwanninger M, Fackler K, Messner K, Gradinger C (2008) Comparison of methods to evaluate the potential of fungal growth on decay of spruce wood after short-time treatment. Int Biodeterior Biodegradation 61(4):319-324.nSchultz TP, Nicholas D (2008) Introduction to devel oping wood preservative systems and molds in homes. Pages 2-8 in TP Schultz, ed. American Chemical Society, Cellulose and Renewable Materials Division. D Nicholas, H Militz, MH Freeman, and B Goodell, eds. Development of commercial wood preservatives: Efficacy, environmental, and health issues. American Chemical Society, Distributed by Oxford University Press, Washington, DC.nShenk JS, Workman JJ, Westerhaus MO (1992) Application of NIR spectroscopy to agricultural products. Pages 385-386 in DA Burns and EW Ciurczak, eds. Handbook of near-infrared analysis. M. Dekker, New York, NY.nStirling R, Trung T, Breuil C, Bicho P (2007) Predicting wood decay and density using NIR spectroscopy. Wood Fiber Sci 39(3):414-423.nWilliams 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.nZabel RA, Morrell JJ (1992a) Detection of internal decay. Pages 365-383 in RA Zabel, JJ Morrell, eds. Wood microbiology: Decay and its prevention. Academic Press, San Diego, CA.nZabel RA, Morrell JJ (1992b) Wood microbiology: Decay and its prevention. Academic Press, San Diego, CA. 476 pp.n

Downloads

Published

2010-10-11

Issue

Section

Research Contributions