Evaluation of wood variation based on the eigenvalue distribution of near infrared spectral matrix. Issue 2 (April 2019)

• Record Type: Journal Article
• Authors: Fujimoto, Takaaki
• Is Part Of: Journal of near infrared spectroscopy. Volume 27:Issue 2(2019)
• Page Start: 175
• Page End: 180
• Publication Date: 2019-04
• Subjects: Wood variation -- modulus of elasticity -- eigenvalue distribution -- information statistical mechanics -- random matrix; Near infrared spectroscopy -- Periodicals; 543.5
• DOI: 10.1177/0967033518812894
• Languages: English
• ISSNs: 0967-0335

Abstract

A method to evaluate the wood variation based on the eigenvalue analysis for the near infrared spectral matrix is presented. The set of eigenvalues calculated from the variance-covariance matrix is treated as the Hamiltonian, which represents the energy eigenstate of the wood, and the wood variation is discussed from the viewpoints of thermodynamics and statistical mechanics. To determine the validity of this idea, two sample groups, one having a high and the other having a low modulus of elasticity ( E fr ), are prepared, because they obviously have different molecular configurations in the cell wall. The eigenvalues of the high E fr group are widely distributed compared with those of the low E fr group. The probability corresponding to each energy eigenstate of the low E fr group is flatly distributed compared with that of the high E fr group. These results indicate that the low E fr wood has a more disordered structure than the high E fr wood. The Helmholtz free energy is higher in the high E fr group; in contrast, the entropy is higher in the low E fr group. The results obtained in this study are consistent with the previous knowledge with regard to the relationship between the mechanical properties and the microscopic structure of wood. Hence, the eigenvalues obtained from the NIR spectral matrix provide useful information to assess the variation and stability of wood.