Estimating wood moisture by near infrared spectroscopy: testing acquisition methods and wood surfaces qualities

dc.creatorSantos, Luana Maria dos
dc.creatorAmaral, Evelize Aparecida
dc.creatorNieri, Erick Martins
dc.creatorCosta, Emylle Veloso Santos
dc.creatorTrugilho, Paulo Fernando
dc.creatorCalegário, Natalino
dc.creatorHein, Paulo Ricardo Gherardi
dc.date2020-10-02T12:11:59Z
dc.date2020-10-02T12:11:59Z
dc.date2020
dc.date.accessioned2023-09-28T19:55:48Z
dc.date.available2023-09-28T19:55:48Z
dc.identifierSANTOS, L. M. dos et al. Estimating wood moisture by near infrared spectroscopy: testing acquisition methods and wood surfaces qualities. Wood Material Science & Engineering, [S. l.], 2020. DOI: https://doi.org/10.1080/17480272.2020.1768143.
dc.identifierhttps://www.tandfonline.com/doi/abs/10.1080/17480272.2020.1768143?journalCode=swoo20
dc.identifierhttp://repositorio.ufla.br/jspui/handle/1/43285
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9040383
dc.descriptionMoisture is one of the most important wood properties because its variation directly influences the material strength and density. Thus, the aim of this study was to develop near infrared (NIR) spectroscopic models in order to estimate the moisture content in wood specimens. Moreover, predictive models built from NIR signatures recorded by different acquisition methods and on wood surfaces were compared and discussed. Mass and NIR spectra were measured on forty (40) Eucalyptus wood specimens in 10 steps during drying from the fiber saturated point to anhydrous condition. NIR spectra were recorded by means of an integrating sphere and optical fiber probe on four surface. Thus, wood moisture values were correlated with the corresponding NIR spectra by Partial Least Squares (PLS) Regression. The best models for estimating wood moisture were developed from NIR spectra recorded on the transverse surface produced with the band saw by integrating sphere method (R²p = 0.96 and RMSEP = 8.56%) and fiber optic probe (R²p = 0.83 and RMSEP = 20.09%). Therefore, NIR spectrum recorded by integrating sphere taken on transverse or radial wood surface cut by band saw are the most suitable for generating NIR models for estimating the moisture content in Eucalyptus wood.
dc.languageen_US
dc.publisherTaylor & Francis
dc.rightsrestrictAccess
dc.sourceWood Material Science & Engineering
dc.subjectWood moisture
dc.subjectWood anisotropy
dc.subjectVibrational spectroscopy
dc.subjectTimber processing
dc.subjectWood surfaces qualities
dc.subjectUmidade da madeira
dc.subjectAnisotropia de madeira
dc.subjectEspectroscopia vibracional
dc.subjectProcessamento de madeira
dc.subjectQualidades de superfícies da madeira
dc.titleEstimating wood moisture by near infrared spectroscopy: testing acquisition methods and wood surfaces qualities
dc.typeArtigo


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