Assessment of variations in air-dry wood density using time-of-flight near-infrared spectroscopy

Hans, Guillaume; Kitamura, Ryunosuke; Inagaki, Toru; Leblon, Brigitte; Tsuchikawa, Satoru

doi:10.1080/17480272.2014.923937

Cited by 14 publications

(9 citation statements)

References 57 publications

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“…39 The robustness of our calibration models could also be affected by variations of wood porosity, namely anatomy differences between samples, which have more influence on light scattering effects. 40,41 This could have a slight influence on the models for stilbene prediction for certain Scots pine wood with different anatomy.…”

Section: Nir Spectroscopy Calibration Modelsmentioning

confidence: 99%

Prediction of Stilbene Content from Heartwood Increment Cores of Scots Pine Using near Infrared Spectroscopy Methodology

Pulkka

Segura²,

Harju

et al. 2016

Journal of Near Infrared Spectroscopy

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High-throughput and non-destructive methods for quantifying the content of the stilbene compounds of Scots pine (Pinus sylvestris L.) heartwood are needed in the breeding for decay resistance of heartwood timber. In this study, near infrared (NIR) spectroscopy calibrations were developed for a large collection of solid heartwood increment core samples in order to predict the amount of the stilbene pinosylvin (PS), its monomethyl ether (PSM) and their sum (STB). The resulting models presented quite accurate predictions in an independent validation set with R 2 v values ranging between 0.79 and 0.91. The accuracy of the models strongly depended on the chemical being calibrated, with the lowest accuracy for PS, intermediate accuracy for PSM and highest accuracy for STB. The effect of collecting one, two or more (up to five) spectra per sample on the calibration models was studied and it was found that averaging multiple spectra yielded better accuracy as it may account for the heterogeneity of wood along the increment core within and between rings. Several statistical pretreatments of the spectra were tested and an automatic selection of wavenumbers prior to calibration. Without the automatic selection of wavenumbers, a first derivative of normalised spectra yielded the best accuracies, whereas after the automatic selection of wavenumbers, no particular statistical pretreatment appeared to yield better results than any other. Finally, the automatic selection of wavenumbers slightly improved the accuracy of the models for all traits. These results demonstrate the potential of NIR spectroscopy as a high-throughput and non-destructive phenotyping technique in tree breeding for the improvement of decay resistance in heartwood timber.

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Section: Nir Spectroscopy Calibration Modelsmentioning

confidence: 99%

Prediction of Stilbene Content from Heartwood Increment Cores of Scots Pine Using near Infrared Spectroscopy Methodology

Pulkka

Segura²,

Harju

et al. 2016

Journal of Near Infrared Spectroscopy

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“…The R 2 of softwood, diffuse-porous vessels and ring-porous vessels was 0.55, 0.49, and 0.73, respectively. The acquired 0 s of air-dry wood ranged from 8.9 to 30.9 mm À1 , although Hans et al 12 reported 0 s ¼ 15.3 AE 0.3 mm À1 and 0 s ¼ 17.4 AE 0.9 mm À1 , respectively, for air-dry hinoki cypress (Chamaecyparis obtusa) and Japanese larch (Larix kaempferi) at 846 nm, and D'Andrea et al 5 reported 0 s & 10 mm À1 for air-dry silver fir at 840 nm. The light scattering in wood is complex and caused by multiple factors: (1) the interaction of light with small particles with different refractive indices from the surrounding materials, (2) a refractive-index mismatch between the cell-wall substance and lumens in the wood, (3) scattering at the rough border between the lumen of the tracheid and the wood cell-wall substance, and (4) scattering due to the birefringent nature of the cellulose microfibril or the spatial distribution of chemical components in the wood cell-wall substances.…”

Section: Monte Carlo Simulations Of Light Propagation In Woodmentioning

confidence: 98%

Effect of cellular structure on the optical properties of wood

Ban

Inagaki

et al. 2018

Journal of Near Infrared Spectroscopy

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To construct robust calibrations of wood properties by near infrared spectroscopy, one must independently evaluate the spectral contributions of light absorption and light scattering. However, the light propagation in wooden cellular structures is difficult to interpret because these structures are complex, heterogeneous, and anisotropic. This study investigates the reduced scattering coefficients of softwood and hardwood (with ring-porous or diffuse-porous vessels) at 846 nm by timeresolved spectroscopy. It also evaluates the effect of wooden cellular structure and air-dry density on the light propagation. After determining the reduced scattering coefficients, we observed cross-sectional microscopic images of the wood samples. Eighty-five percent of the variation in the reduced scattering coefficients was explainable by the air-dry density, area ratio of the cell wall, and the median pore area. Monte Carlo simulations of the light propagation through wood revealed that most of the photon transport occurs in the cell-wall substance.

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“…NIRS-based hyperspectral images are used to estimate moisture content and density distributions in subalpine fir board (Haddadi et al 2015a, b). Timeof-flight NIRS is used to measure variations in air-dry wood density (Hans et al 2015b). Finally, a novel densitometer based on a near-infrared laser system is introduced (Kitamura and Tsuchikawa 2015).…”

Section: Editorial Sensors In the Forest Products Industrymentioning

confidence: 99%