Application of near Infrared Spectroscopy for Estimating Wood Mechanical Properties of Small Clear and Full Length Lumber Specimens

Fujimoto, Takaaki; Kurata, Yohei; Matsumoto, Kazushige; Tsuchikawa, Satoru

doi:10.1255/jnirs.818

Cited by 82 publications

(81 citation statements)

References 29 publications

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“…However, in order to allow an easy comparison between our models as well as with the ones of the literature, we choose to keep nine as the number of components for the temperature-specific models and 16 for the generalized models. These numbers are comparable to the ones used in other studies on wood moisture content and basic density estimation: 8 (Hoffmeyer and Pedersen 1995, Defo et al 2007, Fujimoto et al 20089 (Thygesen andLundqvist 2000a, Mora et al 2011);10 (Thygesen and Lundqvist 2000a); and 14 (Defo et al 2007).…”

Section: Multivariate Data Analysissupporting

confidence: 84%

“…This is consistent with the results of Defo et al (2007) and can be explained by a higher roughness of the transversal section than the tangential section. Moreover, the cut ends of the lumens of the tracheids are exposed to the NIR incident radiation when scanning the transversal section of the wood and as a result, the NIR energy can travel further into the wood and is more absorbed (Fujimoto et al 2008). By contrast, when scanning the tangential section, it is the cell wall of the tracheid which is exposed to the NIR incident radiation resulting in a lower absorbance.…”

Section: Resultsmentioning

confidence: 99%

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Monitoring of moisture content and basic specific gravity in black spruce logs using a hand-held MEMS-based near-infrared spectrometer

HansGuillaume

LeblonBrigitte

Stirling

et al. 2013

The Forestry Chronicle

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Our study presents results of a test of a hand-held micro-electro-mechanical system (MEMS)-based near-infrared (NIR) spectrometer to estimate moisture content and basic specific gravity of black spruce frozen and unfrozen logs. The spectra were acquired on sapwood and heartwood as well as on tangential and transversal log sections. Partial least square regression was used to develop and validate the models that relate NIR spectral data to the log properties. Models were developed for the frozen and unfrozen logs separately (temperature-specific models) and for both kinds of logs together (generalized model). Both model types gave similar prediction accuracy and there were no temperature condition effects on the PLS model, for both moisture content and basic specific gravity estimation. This implies that the NIR spectrometer can be used whatever the log temperature conditions, even under freezing conditions. Keywords: near-infrared spectroscopy, black spruce, partial least square regression, moisture content, basic specific gravity, hand-held near-infrared spectrometer, MEMS, log, sapwood, heartwood résumé Notre étude présente le test d'un spectromètre proche infra-rouge portable basé sur un système micro-électro-mécanique (SMEM) pour mesurer la teneur en eau et la densité basale de grumes gelées et non gelées. Les spectres ont été acquis sur l'aubier et sur le duramen ainsi que sur les sections tangentielles et transversales de la grume. La régression des moindres carrés partiels (PLS) est utilisée pour calibrer et valider les modèles d' estimation des propriétés de la grume à partir des données proche infra-rouge. Des modèles ont été développés pour les grumes gelées et non gelées, séparément (modèles spécifiques à une température donnée) ainsi que pour les deux types de grumes ensemble (modèles généralisés). Les deux types de modèles ont donné des précisions d' estimation semblables et il n'y a pas eu d' effets des conditions de température sur les prédictions des modèles PLS. Ceci implique que les mesures du spectromètre proche infra-rouge portable peuvent être utilisées quel que soient les conditions de température des grumes, même avec des températures en-dessous du point de congélation.Mots-clés : spectroscopie proche infra-rouge, épinette noire, régression PLS, teneur en eau, densité basale, spectromètre portable, MEMS, grume, aubier, duramen

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Section: Multivariate Data Analysissupporting

confidence: 84%

Section: Resultsmentioning

confidence: 99%

Monitoring of moisture content and basic specific gravity in black spruce logs using a hand-held MEMS-based near-infrared spectrometer

HansGuillaume

LeblonBrigitte

Stirling

et al. 2013

The Forestry Chronicle

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“…Fujimoto et al (2008) used spectral information from tangential (R² between 0.61 and 0.84) and radial (R² between 0.73 and 0.89) faces to estimate mechanical properties of two species of genus Larix and concluded that both spectra present the same overall tendency as to calibration. It should be noted that in this particular work calibrations for mechanical properties were based on a small number of samples (n), and also that new studies should be undertaken to investigate the influence of Estimation of the mechanical properties of wood ... spectra depending on the face measured, preferably with a larger number of samples and ensuring grain orientation is well defined throughout.…”

Section: Calibration Of Mechanical Properties Of Woodmentioning

confidence: 99%

“…Several works have demonstrated the use potential of near infrared spectroscopy to determine wood properties, as, for example, studies developed by Fujimoto et al (2008) and Schimleck et al (1999) into density and also into strength and stiffness properties. Viana et al (2009), by using NIRS technique for predicting the morfological characteristics and basic density, found interesting results.…”

Section: Introductionmentioning

confidence: 99%

Estimation of the mechanical properties of wood from Eucalyptus urophylla using near infrared spectroscopy

Andrade

Trugilho

Napoli

et al. 2010

CERNE

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Mechanical properties studies of wood usually involve destructive wood assessments, with time-consuming tests that use large amounts of resource (wood). Although this is not a limiting factor, it could be attenuated by the use of a nondestructive technique known as near infrared spectroscopy (NIRS). This technique has been applied to evaluate compounds containing C-H, N-H, S-H or O-H bonds, and involves quick analyses and can be applied to process control tasks. The objective of this work is to use the NIRS technique to obtain calibrations for mechanical properties of Eucalyptus sp. wood. A natural E. urophylla hybrid at age 7 was used as obtained from V&M Florestal crops. Spectra were measured directly in solid wood (radial, tangential and transverse faces) and in ground wood, in diffuse reflectance mode, using a Bruker spectrometer in the 800 to 1,500 nm range. The NIRS technique proved suitable to estimate modulus of elasticity in solid wood, with values r=0.91 and RPD=2.6, and in ground wood, with values r=0.87 and RPD=2.0. Modulus of rupture and compressive strength presented r values below 0.9. First and second derivative pretreatments provided a slight increase in correlation values for the properties in question. Calibrations for different plank faces did not present a defined variation pattern. Solid wood and ground wood presented similar correlation values for all properties.Key words: NIRS, Eucalyptus, characteristics. ESTIMATIVA DE PROPRIEDADES MECÂNICAS DA MADEIRA DE Eucalyptus urophylla USANDO A ESPECTROSCOPIA NO INFRAVERMELHO PRÓXIMO RESUMO: O estudo das propriedades mecânicas da madeira comumente é realizado por meio de uma avaliação destrutiva na madeira demandando um extenso tempo para realização dos testes e com grande uso de recursos (madeira). Esse fator, embora não seja limitante para a realização dos ensaios poderia ser amenizado com o uso de uma técnica não-destrutiva como a espectroscopia no infravermelho próximo (NIRS). Essa técnica vem sendo aplicada na avaliação de compostos que contenham ligações C-H, N-H, S-H ou O-H, apresenta rapidez nas análises e pode ser aplicada no controle de processos. O objetivo, neste trabalho, foi utilizar a técnica NIRS para obter calibrações para as propriedades mecânicas da madeira de Eucalyptus sp. Foi utilizado um

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“…Despite many papers have demonstrated that NIR models present good performance in cross-validations or independent validations for wood density (Via et al, 2003(Via et al, , 2005Cogdill et al, 2004;Mora et al, 2008;Hein et al, 2009), mechanical properties (Schimleck et al, 2001;Kelley et al, 2004;Fujimoto et al, 2008) and chemical composition (Gierlinger et al, 2002;Kelley et al, 2004;Rodrigues et al, 2006;Sousa-Correia et al, 2007), there is still a lack for applications in real situations. While a number of studies have demonstrated that the NIR spectroscopy and multivariate analysis works well in laboratories where the conditions are controlled, limited studies have been done simulating in real industrial conditions, like pulp mills or wood processing factories.…”

Section: Accuracy Of Nir Technology For Predicting Wood Properties Inmentioning

confidence: 99%

Challenges in the use of Near Infrared Spectroscopy for improving wood quality: A review

2018

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Aims of study: Forestry-related companies require quality monitoring methods capable to pass a large number of samples. This review paper is dealing with the utilization of near infrared (NIR) technique for wood analysis.Area of study: We have a global point of view for NIR applications and characterization of different kind of wood species is considered.Material and methods: NIR spectroscopy is a fast, non-destructive technique, applicable to any biological material, demanding little or no sample preparation. NIR spectroscopy and multivariate analysis serve well in laboratories where the conditions are controlled. The main challenges to NIR spectroscopy technique in field conditions are moisture content and portability.Results: In this review, the methods and challenges for successfully applying NIR spectroscopy in the field of wood characterization are presented. Portable equipment need to record NIR spectra with low noise and low sensitivity to temperature and humidity variations of the air in forest environments. Studies concerning the sample preparation effects on the robustness of the calibrations are thus required.Research highlights: This paper examines traditional applications and practical aspects as well as innovative modern adaptations applied, for example, in hyperspectral imaging and genetic studies.Additional keywords: Near Infrared Spectroscopy; wood properties; moisture; pulp; camera hyperspectral, genetic studies. Abbreviations used: MC (moisture content); PCR (principal component regression); PLS (least squares regression); R² (coefficient of determination); RMSECV (root mean square error of cross validation); r²p (determination coefficient in test set validation); RDP (ratio of performance to deviation); UV (ultraviolet); S/G (syringyl to guaiacyl ratio).

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Application of near Infrared Spectroscopy for Estimating Wood Mechanical Properties of Small Clear and Full Length Lumber Specimens

Cited by 82 publications

References 29 publications

Monitoring of moisture content and basic specific gravity in black spruce logs using a hand-held MEMS-based near-infrared spectrometer

Monitoring of moisture content and basic specific gravity in black spruce logs using a hand-held MEMS-based near-infrared spectrometer

Estimation of the mechanical properties of wood from Eucalyptus urophylla using near infrared spectroscopy

Challenges in the use of Near Infrared Spectroscopy for improving wood quality: A review

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