@Article{jrm.2022.020546,
AUTHOR = {Rui Wang, Lanlan Shi, Yurong Wang},
TITLE = {Physical and Mechanical Properties of <i>Catalpa bungei</i> Clones and Estimation of the Properties by Near-Infrared Spectroscopy},
JOURNAL = {Journal of Renewable Materials},
VOLUME = {10},
YEAR = {2022},
NUMBER = {12},
PAGES = {3285--3302},
URL = {http://www.techscience.com/jrm/v10n12/48824},
ISSN = {2164-6341},
ABSTRACT = {Air-dry density, modulus of rupture (MOR), modulus of elasticity (MOE), compressive strength parallel to grain,
and hardness of <i>Catalpa bungei</i> 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 <i>C. bungei </i>clones with methods
developed in this study proved effective in preliminary screening.},
DOI = {10.32604/jrm.2022.020546}
}