title: Use of NIR and pyrolysis-MBMS coupled with multivariate analysis for detecting the chemical changes associated with brown-rot biodegradation of spruce wood.
abstract: Near infrared (NIR) spectroscopy and pyrolysis-molecular beam mass spectrometry (py-MBMS) analysis can be used in conjunction with multivariate regression and principal components analysis to differentiate brown-rot-degraded wood from non-degraded spruce and to follow the temporal changes in wood undergoing brown-rot degradation. Regression of NIR test results vs. percent weight loss for Postia placenta- and Gloeophyllum trabeum-infected spruce wood blocks yielded a correlation coefficient of 0.96. Regression of MBMS test results for the same samples yielded a correlation coefficient of 0.96. Principle components analysis was used to differentiate non-infected wood and P. placenta- and G. trabeum-infected wood. These techniques may be used to detect different types of biodegradation and to develop a better understanding of the chemical changes that the wood undergoes when it is subjected to brown-rot biodegradation.
authors: National Bioenergy Center, National Renewable Energy Laboratory, 1617 Cole Blvd., Golden, CO 80401, USA. steve_kelley@nrel.gov
authors: Stephen S
authors: SS
authors: Kelley
authors: Jody
authors: J
authors: Jellison
authors: Barry
authors: B
authors: Goodell
mesh_terms: D001673:Biodegradation, Environmental; D013058:Mass Spectrometry / Q000379:methods; D015999:Multivariate Analysis; D011124:Polyporaceae / Q000378:metabolism*; D020072:Polyporales / Q000378:metabolism*; D019265:Spectroscopy, Near-Infrared; D014934:Wood