Application of Near Infrared Spectroscopy in Wood Water Content Prediction

Zhang, Hui Juan; Li, Yao Xiang; Zhang, Hong Fu; Zhang, Ya Zhao; Li, Pai

doi:10.4028/www.scientific.net/amr.187.434

Cited by 6 publications

(3 citation statements)

References 5 publications

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“…Seven wavenumbers were selected and partial least squares (PLS) regression was used. The best result was obtained between the 1000 to 2100 cm -1 wavenumber, where the model showed validation correlation coefficient of 0.98 and RMSEP = 0.0465 % (ZHANG et al 2011). The study by Santos et al, (2017) demonstrated that NIR spectroscopy is an efficient technique to estimate wood moisture and monitor water desorption of Eucalyptus urophylla x Eucalyptus grandis.…”

Section: Humiditymentioning

confidence: 90%

DETERMINATION OF E. benthamii PROPERTIES BY INFRARED SPECTROSCOPY AND PLS

Benin

Watzlawick

Lima

2023

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Considering the interest in the Eucalyptus benthamii species and the search for alternatives to determine some physical properties in a fast and reliable way, the objective of this study was to build multivariate calibration models through the near infrared spectroscopy (NIR) technique and partial least squares regression (PLS) for wood basic density (BD) and chip moisture (U). Trees were sampled in five diametric classes and used to evaluate DB, as a function of 3 ages and 3 production regions of E. benthamii. We considered only plantations at 7 years of age in the harvest phase and chip samples considering pre-defined intervals of ten days, from the date of tree harvest to 90 days, in two seasons of the year (winter and spring) for moisture analysis. For DB and U, NIR models were calibrated and validated using partial least squares (PLS) regression. Calibration models were evaluated by correlation coefficients (R²), root mean square error (RMSE), and variance performance ratio (RPD). The models for near infrared (NIR) spectroscopy showed R² values ranging from 0.60 to 0.68 for basic density and 0.72 for moisture. The best model for DB observed was the one that considered only the DAP samples. It was concluded that the NIR technique was suitable for estimating the properties of moisture and wood density in this evaluated species, E. benthamii.

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Section: Humiditymentioning

confidence: 90%

DETERMINATION OF E. benthamii PROPERTIES BY INFRARED SPECTROSCOPY AND PLS

Benin

Watzlawick

Lima

2023

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“…8. According to Zhang et al (2011), these two peaks can be related to the combination of O-H stretching and O-H deformation of water:…”

Section: Ftir-nir Characterizationmentioning

confidence: 99%

Anoxic treatment for the disinfestation of wood cultural heritage: assessment of the effects and harmfulness on different species

et al. 2015

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“…Wood water content has little effect on properties (except quality) above the fiber saturation point. On the contrary, a mass of features of wood are influenced evidently by water content below the fiber saturation point, which include wood strength, stiffness, hardness, thermal conductivity, combustion value and so on [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

NIR-Based Wood Water Content Prediction with an Integration of ANN and PCA

2012

AMR

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In this paper, an integration of BP neural network and PCA for modeling wood water content of larch combined with NIRS was investigated. The original spectra were collected and pretreated with 9 point smoothing and multiplicative scatter correction (MSC). Five typical principal components were extracted from PCA with the application of establishing prediction model. Full cross-validation approach was applied to achieve desirable modeling performance. The prediction correlation coefficient (R) was 0.952 while the mean square error of prediction (MSEP) was 38.27. This study indicated that NIR is a useful tool for rapid and accurate prediction of wood water content.

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Application of Near Infrared Spectroscopy in Wood Water Content Prediction

Cited by 6 publications

References 5 publications

DETERMINATION OF E. benthamii PROPERTIES BY INFRARED SPECTROSCOPY AND PLS

DETERMINATION OF E. benthamii PROPERTIES BY INFRARED SPECTROSCOPY AND PLS

Anoxic treatment for the disinfestation of wood cultural heritage: assessment of the effects and harmfulness on different species

NIR-Based Wood Water Content Prediction with an Integration of ANN and PCA

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