“…Spectra within the NIR region consist of overtone and combination bands of fundamental stretching vibrations of functional groups that occur in the middle infrared region, mainly CH, OH and NH, which represent the backbone of all biological compounds. The potential application of NIR spectroscopy to predict wood characteristics has been reported in the literature (Kelley et al, 2004;Tsuchikawa, 2007). It offers a rapid method for estimating many important wood properties including density, microfibril angle, stiffness (Cogdill et al, 2004;Hein et al 2009;Schimleck et al, 2005;, and prediction of the longitudinal tensile modulus and strength (Hedrick et al, 2007).…”
To cite this version:Adzo-Dzifa Kokutse, Loïc Brancheriau, Gilles Chaix. Rapid prediction of shrinkage and fibre saturation point on teak (Tectona grandis) wood based on near-infrared spectroscopy. Annals of Forest Science, Springer Verlag/EDP Sciences, 2010, 67 (4), <10.1051/forest/2009123>. Ann. For. Sci. 67 (2010)
Abstract• Dimensional stability, along with the natural durability and colour of the wood, is one of the most important characteristics of teak used as timber. However, it is very time-consuming to take measurements of this kind. For the purposes of selection for the production of improved varieties, the number of samples to be measured rapidly exceeds the capacity of a traditional laboratory.• Near-infrared spectroscopy, based on a set of reference data, is a tool enabling many of the chemical properties of wood to be predicted and the number of laboratory measurements to be reduced exponentially. The issue here is a question of checking the effectiveness of NIRS tool to build models and predict the shrinkage and fibre saturation point of teak wood from Togo.• The results show the possible use of NIRS to measure the dimensional stability of teak wood and that it is appropriate to choose the type of wood and type of surface to be measured by NIRS. The best prediction models for radial and tangential shrinkage and fibre saturation point give R 2 values of 0.72, 0.83 and 0.87 respectively with ratios of performance deviation of 1.8, 2.4 and 2.8.• Consequently, after verification on other sets of teak samples, which may or may not be included in the prediction model, NIRS can be used to predict shrinkage and fibre saturation point values accurately for a large number of samples, making it possible to include these characteristics in the selection criteria for classifying wood and high throughput phenotyping.
Mots-clés :retrait / point de saturation des fibres / teck / SPIR Résumé -Prédiction rapide du retrait et du point de saturation des fibres pour le bois de teck (Tectona grandis) par spectroscopie proche infrarouge.• La stabilité dimensionnelle avec la durabilité naturelle et la couleur du bois, est l'une des plus importantes caractéristiques pour le teck utilisé en bois d'oeuvre. Néanmoins, les mesures de ce caractère sont longues et coûteuses en temps. Pour les besoins de la sélection pour la production de variétés améliorées, le nombre d'échantillons à mesurer devient vite supérieur aux capacités d'un laboratoire traditionnel.
“…Spectra within the NIR region consist of overtone and combination bands of fundamental stretching vibrations of functional groups that occur in the middle infrared region, mainly CH, OH and NH, which represent the backbone of all biological compounds. The potential application of NIR spectroscopy to predict wood characteristics has been reported in the literature (Kelley et al, 2004;Tsuchikawa, 2007). It offers a rapid method for estimating many important wood properties including density, microfibril angle, stiffness (Cogdill et al, 2004;Hein et al 2009;Schimleck et al, 2005;, and prediction of the longitudinal tensile modulus and strength (Hedrick et al, 2007).…”
To cite this version:Adzo-Dzifa Kokutse, Loïc Brancheriau, Gilles Chaix. Rapid prediction of shrinkage and fibre saturation point on teak (Tectona grandis) wood based on near-infrared spectroscopy. Annals of Forest Science, Springer Verlag/EDP Sciences, 2010, 67 (4), <10.1051/forest/2009123>. Ann. For. Sci. 67 (2010)
Abstract• Dimensional stability, along with the natural durability and colour of the wood, is one of the most important characteristics of teak used as timber. However, it is very time-consuming to take measurements of this kind. For the purposes of selection for the production of improved varieties, the number of samples to be measured rapidly exceeds the capacity of a traditional laboratory.• Near-infrared spectroscopy, based on a set of reference data, is a tool enabling many of the chemical properties of wood to be predicted and the number of laboratory measurements to be reduced exponentially. The issue here is a question of checking the effectiveness of NIRS tool to build models and predict the shrinkage and fibre saturation point of teak wood from Togo.• The results show the possible use of NIRS to measure the dimensional stability of teak wood and that it is appropriate to choose the type of wood and type of surface to be measured by NIRS. The best prediction models for radial and tangential shrinkage and fibre saturation point give R 2 values of 0.72, 0.83 and 0.87 respectively with ratios of performance deviation of 1.8, 2.4 and 2.8.• Consequently, after verification on other sets of teak samples, which may or may not be included in the prediction model, NIRS can be used to predict shrinkage and fibre saturation point values accurately for a large number of samples, making it possible to include these characteristics in the selection criteria for classifying wood and high throughput phenotyping.
Mots-clés :retrait / point de saturation des fibres / teck / SPIR Résumé -Prédiction rapide du retrait et du point de saturation des fibres pour le bois de teck (Tectona grandis) par spectroscopie proche infrarouge.• La stabilité dimensionnelle avec la durabilité naturelle et la couleur du bois, est l'une des plus importantes caractéristiques pour le teck utilisé en bois d'oeuvre. Néanmoins, les mesures de ce caractère sont longues et coûteuses en temps. Pour les besoins de la sélection pour la production de variétés améliorées, le nombre d'échantillons à mesurer devient vite supérieur aux capacités d'un laboratoire traditionnel.
“…This calibration is then used to predict the lignin or extractive content of further samples based on their NIR spectrum. It is implicit in this technique that the "training" sets on which the calibrations are based contain the whole range of variation in the samples to be further analysed (Raymond 2002;Tsuchikawa 2007;Mora and Schimleck 2008). The main advantage of NIR spectroscopy technique is that, after calibration, more than one parameter per sample can be determined at once.…”
Partial least square regression (PLS-R) calibrations based on near infrared (NIR) spectroscopic data were developed in order to predict mechanical and physical properties of agro-based particleboards. The panels were manufactured using Eucalyptus and Pinus wood particles and sugar cane bagasse. The following panel properties were evaluated according to standard methods: modulus of elasticity (MOE), modulus of rupture (MOR), internal bonding (IB) strength, water absorption (WA24H), and thickness swelling (TS24H) after 24 hours of immersion. NIR spectra information was measured on samples cut from each particleboard and correlated with their physical and mechanical properties by PLS-R to build predictive NIR models. The NIR models for IB, WA24H and TS24H presented satisfactory coefficient of determination (0.73; 0.72 and 0.75, respectively.) The key role of resins (adhesives), cellulose, and lignin for NIRS calibrations of mechanical and physical properties of the particleboards is shown. These models can be useful to quickly verify such properties in unknown agro-based particleboards.
“…The technique is described by Pasquini (2003) as fast (one minute or less for analysis), non-destructive, applicable to any biological material, including online procedures and it requires minimum or no sample preparation. The association of NIR spectroscopy with multivariate analysis has allowed the study of quantitative and qualitative characteristics on a large scale of samples, covering sectors such as textile industry, fossil fuels, agriculture, food, pharmaceutical and forestry (TSUCHIKAWA, 2007). In forestry researches, this technique has been used as a rapid tool for tree phenotyping in breeding programs (SCHIMLECK, 2008).…”
ABSTRACT:The near infrared spectroscopy (NIRS) has shown a rapid and accurate technique for evaluation of materials of biological origin. The objective of this study was to evaluate the ability of the near infrared (NIR) spectroscopy associated to the Principal Component Analysis (PCA) for the separation of carbonization processes and identification of the origin of the woods used in the carbonizations. Hence, the charcoal of seven species of Eucalyptus and twenty native species from the Cerrado (savannah) of Minas Gerais, Brazil were investigated. The Eucalyptus wood was carbonized in a laboratory furnace and in a 190 m 3 industrial rectangular kilns while the wood of native vegetation was carbonized only under laboratory conditions. The samples were grinded for NIR spectra acquirement. The NIR spectra were analyzed by PCA but no cluster were identified allowing discrimination between charcoal produced from native and from Eucalyptus wood. However, the cluster formed in the PCA when using the first derivative NIR spectra permitted to distinguish charcoal produced in different processes of carbonization. Two groups of data for charcoal produced in the industrial rectangular kilns were also observed, suggesting heterogeneity in the carbonization process.Key words: Charcoal origin, NIRS, principal component analysis.
USO DA ESPECTROSCOPIA NO INFRAVERMELHO PRÓXIMO PARA DIFERENCIAR PROCESSOS DE CARBONIZAÇÃO E FONTES DE CARVÃO VEGETAL
RESUMO: A espectroscopia no infravermelho próximo (NIRS) tem se apresentado uma técnica rápida e precisa para a avaliação de materiais de origem biológica. Objetivou-se, neste trabalho, avaliar a habilidade da espectroscopia no infravermelho próximo, em conjunto com Análise de Componente Principal (PCA), para separação dos processos de carbonização e a identificação de madeiras usadas na carbonização. Para isso foram realizadas carbonizações de sete espécies de Eucalyptus e vinte espécies nativas do
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