Open Access
ARTICLE
Physical and Mechanical Properties of Catalpa bungei Clones and Estimation of the Properties by Near-Infrared Spectroscopy
Rui Wang, Lanlan Shi, Yurong Wang*
Research Institute of Wood Industry, Chinese Academy of Forestry, Beijing, 100091, China
* Corresponding Author: Yurong Wang. Email:
(This article belongs to this Special Issue: Functionalization of Wood and Bamboo-Based Materials)
Journal of Renewable Materials 2022, 10(12), 3285-3302. https://doi.org/10.32604/jrm.2022.020546
Received 30 November 2021; Accepted 08 February 2022; Issue published 14 July 2022
Abstract
Air-dry density, modulus of rupture (MOR), modulus of elasticity (MOE), compressive strength parallel to grain,
and hardness of
Catalpa bungei clones were investigated in this study with feasibility of predicting these properties
by near-infrared (NIR) spectroscopy. The best candidate ‘Luoqiu 3’ has been selected from three clones based on
wood physical and mechanical property indices. Lower values of wood physical and mechanical properties have
been found in the corewood compared to the outerwood. There were significant positive correlations between the
air-dry density and mechanical properties. Information from cross section for air-dry density, compressive
strength parallel to grain, and hardness yielded prediction models with better effects, along with the best MOR
and MOE modeling effects resulted from average sections’ spectra collection. Multiplicative scatter correction
(MSC) + Savitzky-Golay (S-G) smoothing method has been proved to be the most applicable way. In addition,
the predictions from five-point sampling method were slightly better than three-point one. Overall, results suggest
NIR spectroscopy was viable to predict the physical and mechanical properties of
C. bungei clones with methods
developed in this study proved effective in preliminary screening.
Keywords
Cite This Article
Wang, R., Shi, L., Wang, Y. (2022). Physical and Mechanical Properties of
Catalpa bungei Clones and Estimation of the Properties by Near-Infrared Spectroscopy.
Journal of Renewable Materials, 10(12), 3285–3302.