Influência da idade na geração de modelos de espectroscopia NIR, para predição de propriedades da madeira de Eucalyptus spp.

Milagres, Flaviana Reis; Gomide, José Lívio; Magaton, Andréia S.; Neto, Humberto Fantuzzi

doi:10.1590/s0100-67622013000600018

Cited by 5 publications

(8 citation statements)

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“…These alterations can contribute to distinguish samples by near infrared spectroscopy. The influence of tree age in spectra was also reported by Milagres et al (2013) in studies with eucalyptus, and some genetic influence can also occur (Hein & Chaix, 2014). For heartwood, the influence of trunk position on also appear, and samples at position of 0% and 13 years are distinct from the other groups.…”

Section: /8mentioning

confidence: 54%

Influence of Age on the Discrimination of Tectona grandis by VIS/NIR Spectroscopy

et al. 2019

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Wood color and properties are variables among and within species, and fast and non-destructive techniques can be applied to their characterization, being also important in wood marketing and quality control. This paper evaluated the influence of age on the discrimination of Tectona grandis L.F. (teak) wood by VIS/NIR spectroscopy. Wood from three ages, with heartwood and sapwood, were studied, totaling 36 samples per age. Quantitative colorimetric data, based on CIELAB 1976, visible and NIR infrared spectra were collected from radial and tangential surfaces in five positions of each sample, in a total of 540 spectra. Both techniques were adequate for age discrimination in teak wood. Statistical differences were observed in the chromatic coordinates in heartwood and sapwood for each age. VIS/NIR spectroscopy can be applied for age discrimination based on teak solid samples and for wood quality control.

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Section: /8mentioning

confidence: 54%

Influence of Age on the Discrimination of Tectona grandis by VIS/NIR Spectroscopy

et al. 2019

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“…Los parámetros estadísticos de los modelos para densidad básica y contracción volumétrica obtenidos por NIR permiten una adecuada predicción. El R está en el rango de 0,64 a 0,76; así mismo, está dentro del rango obtenido por Reis-Milagres et al (2013), quienes obtuvieron un 2 c R de 0,80 a 0,98. El 2 c R para contracción volumétrica (0,83) también resulta consistente para la predicción.…”

Section: Edad Db (Kg/m 3 ) CV (%) Ct (%) Cr (%)unclassified

“…El RPD p para densidad básica de 1,55 es satisfactorio según Schimleck et al (2005) quienes señalan que valores iguales o superiores a 1,5 son suficientes para la predicción. Lo mismo ocurre con el RPD p de la contracción volumétrica (3,27); en tanto, Reis-Milagres et al (2013) descartan que modelos con valores de RPD p por debajo de 1 sean buenos en la predicción; agregando Fujimoto et al (2008) que mientras los valores de RPD p son más altos, la calibración es más confiable. Para contracción tangencial y radial los valores de 2 c R son muy bajos por lo que la predicción no es útil; debido a que la data tomada para NIR, se realizó en 10 posiciones longitudinales sobre la cara transversal; en tanto, la medición de las contracciones se realizó en 3 posiciones entre la médula y la corteza: 0-33%, 33-66%, 66-100%; que sumado a la alta variabilidad en las contracciones radiales y tangenciales que superan el 20%, podría explicar la baja correlación en los resultados y corroborado por Costa et al (2018) quien señala que los planos de corte radial y tangencial son los de mayor variabilidad.…”

Section: Edad Db (Kg/m 3 ) CV (%) Ct (%) Cr (%)unclassified

“…En los últimos años, la espectroscopia aparece como una técnica ideal para reemplazar a los métodos tradicionales de laboratorio, teniendo como ventajas realizar un gran número de mediciones en cortos intervalos de tiempo, análisis cuantitativos y cualitativos rápidos, poca preparación y no destrucción de las muestras (Tsuchikawa y Kobori 2015, Lang et al 2015. La espectroscopía NIR es una técnica que forma parte del campo de estudio de la espectroscopía molecular, la cual analiza la interacción de la radiación electromagnética con la materia y cuyo rango espectral está comprendido entre los 750 -2500 nm (Reis-Milagres et al 2013).…”

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Physical properties of Guazuma crinita by conventional methods and near infrared spectroscopy

Chavesta¹,

Montenegro

Filho³

et al. 2019

Maderas, Cienc. tecnol.

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RESUMENEl objetivo del presente estudio fue determinar las propiedades físicas de la madera de Guazuma crinita por el método convencional, así como estimar estas propiedades por espectroscopia infrarroja cercana (NIR) a través del desarrollo de modelos de calibración multivariada. Las muestras fueron obtenidas de tres niveles del eje longitudinal en 5 árboles para 5 y 8 años de edad seleccionados al azar de una plantación en la zona de Puerto Inca, departamento de Huánuco (Perú). Se determinó la densidad básica, contracción total volumétrica, tangencial y radial por el método destructivo o convencional. Los modelos fueron desarrollados por regresión de mínimos cuadrados parciales (PLS) mediante transformaciones matemáticas. Para la validación de los modelos se empleó un grupo de muestras que no participo en el desarrollo del modelo. Se encontró diferencias estadísticas significativas (F 5años = 191,5; F 8años =84,9) entre las tres alturas en el fuste. Para densidad básica y contracción volumétrica se encontró valores de 2 c R (0,88 y 0,83) y RPD p (1,55 y 3,27) aceptables para la predicción.Palabras claves: Contracción radial, contracción tangencial, contracción volumétrica, densidad básica, regresión de mínimos cuadrados parciales. ABSTRACTThe aim of the present study was to determine the physical properties of the Guazuma crinita wood by conventional methods, as well as to estimate these properties by near infrared spectroscopy (NIR) through the development of multivariate calibration models. The samples were obtained from five trees and from three levels longitudinally for 5 and 8 years of age randomly selected from a plantation in Puerto Inca, Department of Huánuco (Perú). Basic density, volumetric, tangential and radial contraction were determined by the conventional methods. Models were developed by regression of partial least squares (PLS) through mathematical transformations. For the validation of the models, a new group of samples -which did not participate in the development of the model were used. Statistical significance was found F 5años = 191,5; F 8 años =84,9) between the different heights in the stem. Basic density and volumetric contraction show values of 2 c R (0,88 and 0,83) and RPD p (1,55 and 3,27) acceptable for prediction. Weber, J.; Sotelo, C. 2008. Geographic variation in tree growth and wood density of Guazuma crinita Mart. in the Peruvian Amazon. New Forests 36(1):29-52. Weber, J.; Sotelo, C.; Cornelius, J.; Ugarte, J. 2011. Genetic variation in tree growth, stem form and mortality of Guazuma crinita in slower and faster-growing plantations in the Peruvian Amazon. Silvae Genetica 60(2): 70-78. Zobel, B.; Jett, J. 1995. Genetics of wood production. New York: Springer-Verlag, 256p.

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“…These applications include determination of wood quality and pulp characteristics (Birkett and Gambino 1989;Castillo et al 2012), prediction of lignin syringyl/guaiacyl content (Hein et al 2010;Lupoi et al 2014;Ramadevi et al 2016), and the prediction of ashes, extractives, lignin, holocellulose, and wood cellulose content (Wright et al 1990;He and Hu 2013;Zhou et al 2015Zhou et al , 2016. Additional uses include characterization of anatomical, physical, and mechanical properties of wood (Hein 2012;Milagres et al 2013;Sundaram et al 2015); wood bioenergy (Fagan et al 2011;Hou and Li 2011;Ramalho et al 2017), and discrimination of similar rare woods (Yang et al 2012;Shou et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of alternative sample preparation methods for development of NIR models to assess chemical properties of wood

Baldin

Marchiori

Santos

et al. 2018

BioRes

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The aim of this work was to investigate the influence of sample preparation including variation in moisture content and particle size on the accuracy of near infrared (NIR) spectroscopy models developed to predict Klason lignin, total lignin, and holocellulose in wood. Seventy-five samples of sawdust obtained from a eucalyptus plantation were divided into aliquots and submitted to three different treatments: traditional (TRAD), large particle dried at room temperature (LPRT), and large particle oven-dried (LPOD). The influence of sample preparation method on models’ accuracy was compared by statistical analysis. Overall, grinding to a larger particle size and drying at room temperature (treatment LPRT) did not decrease the accuracy of the prediction models when compared to the TRAD sample preparation method. These findings were more evident for Klason lignin and holocellulose. This is relevant because resources used for sample preparation (i.e. grinding and drying) can be minimized, which is expected to reduce the costs associated with analysis of wood properties by NIR.

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Influência da idade na geração de modelos de espectroscopia NIR, para predição de propriedades da madeira de Eucalyptus spp.

Cited by 5 publications

References 13 publications

Influence of Age on the Discrimination of Tectona grandis by VIS/NIR Spectroscopy

Influence of Age on the Discrimination of Tectona grandis by VIS/NIR Spectroscopy

Physical properties of Guazuma crinita by conventional methods and near infrared spectroscopy

Evaluation of alternative sample preparation methods for development of NIR models to assess chemical properties of wood

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