Estimation of moisture in wood chips by Near Infrared Spectroscopy

Abstract: In order to assess the moisture content of wood chips on an industrial scale, readily applicable techniques are required. Thus, near infrared (NIR) spectroscopy was used to estimate moisture in wood chips by means of partial least squares regressions. NIR spectra were obtained in spectrome...

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Autores principales:	Amaral,Evelize A., Santos,Luana M., Costa,Emylle V. S., Trugilho,Paulo F., Hein,Paulo R. G.
Lenguaje:	English
Publicado:	Universidad del Bío-Bío 2020
Materias:	Cellulose integrating sphere optical fiber paper physical properties near infrared spectroscopy
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-221X2020000300291
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spelling	oai:scielo:S0718-221X20200003002912020-06-26Estimation of moisture in wood chips by Near Infrared SpectroscopyAmaral,Evelize A.Santos,Luana M.Costa,Emylle V. S.Trugilho,Paulo F.Hein,Paulo R. G. Cellulose integrating sphere optical fiber paper physical properties near infrared spectroscopy Abstract: In order to assess the moisture content of wood chips on an industrial scale, readily applicable techniques are required. Thus, near infrared (NIR) spectroscopy was used to estimate moisture in wood chips by means of partial least squares regressions. NIR spectra were obtained in spectrometer with an integrating sphere and optical fiber probe, on the longitudinal and transverse surface of Eucalyptus wood chips. The specimens had their masses and NIR spectra measured in 10 steps during drying from saturated to anhydrous condition. Principal Component Analysis was performed to explore the effect of moisture of wood chip on NIR signatures. The values of moisture content of chips were associated with the respective NIR spectra by Partial Least Squares Regression (PLS-R) and Partial Least Squares Discriminant Analysis (PLS-DA) to estimate the moisture content of wood chips and its moisture classes, respectively. Model developed from spectra recorded on the longitudinal face by the integrating sphere method presented statistics slightly better (R²cv = 0,96; RMSEcv = 7,15 %) than model based on optical fiber probe (R²cv = 0,90; RMSEcv = 11,86 %). This study suggests that for calibration of robust predictive model for estimating moisture content in chips the spectra should be recorded on the longitudinal surface of wood using the integrating sphere acquisition method.info:eu-repo/semantics/openAccessUniversidad del Bío-BíoMaderas. Ciencia y tecnología v.22 n.3 20202020-01-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-221X2020000300291en10.4067/S0718-221X2020005000304
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Cellulose integrating sphere optical fiber paper physical properties near infrared spectroscopy
spellingShingle	Cellulose integrating sphere optical fiber paper physical properties near infrared spectroscopy Amaral,Evelize A. Santos,Luana M. Costa,Emylle V. S. Trugilho,Paulo F. Hein,Paulo R. G. Estimation of moisture in wood chips by Near Infrared Spectroscopy
description	Abstract: In order to assess the moisture content of wood chips on an industrial scale, readily applicable techniques are required. Thus, near infrared (NIR) spectroscopy was used to estimate moisture in wood chips by means of partial least squares regressions. NIR spectra were obtained in spectrometer with an integrating sphere and optical fiber probe, on the longitudinal and transverse surface of Eucalyptus wood chips. The specimens had their masses and NIR spectra measured in 10 steps during drying from saturated to anhydrous condition. Principal Component Analysis was performed to explore the effect of moisture of wood chip on NIR signatures. The values of moisture content of chips were associated with the respective NIR spectra by Partial Least Squares Regression (PLS-R) and Partial Least Squares Discriminant Analysis (PLS-DA) to estimate the moisture content of wood chips and its moisture classes, respectively. Model developed from spectra recorded on the longitudinal face by the integrating sphere method presented statistics slightly better (R²cv = 0,96; RMSEcv = 7,15 %) than model based on optical fiber probe (R²cv = 0,90; RMSEcv = 11,86 %). This study suggests that for calibration of robust predictive model for estimating moisture content in chips the spectra should be recorded on the longitudinal surface of wood using the integrating sphere acquisition method.
author	Amaral,Evelize A. Santos,Luana M. Costa,Emylle V. S. Trugilho,Paulo F. Hein,Paulo R. G.
author_facet	Amaral,Evelize A. Santos,Luana M. Costa,Emylle V. S. Trugilho,Paulo F. Hein,Paulo R. G.
author_sort	Amaral,Evelize A.
title	Estimation of moisture in wood chips by Near Infrared Spectroscopy
title_short	Estimation of moisture in wood chips by Near Infrared Spectroscopy
title_full	Estimation of moisture in wood chips by Near Infrared Spectroscopy
title_fullStr	Estimation of moisture in wood chips by Near Infrared Spectroscopy
title_full_unstemmed	Estimation of moisture in wood chips by Near Infrared Spectroscopy
title_sort	estimation of moisture in wood chips by near infrared spectroscopy
publisher	Universidad del Bío-Bío
publishDate	2020
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-221X2020000300291
work_keys_str_mv	AT amaralevelizea estimationofmoistureinwoodchipsbynearinfraredspectroscopy AT santosluanam estimationofmoistureinwoodchipsbynearinfraredspectroscopy AT costaemyllevs estimationofmoistureinwoodchipsbynearinfraredspectroscopy AT trugilhopaulof estimationofmoistureinwoodchipsbynearinfraredspectroscopy AT heinpaulorg estimationofmoistureinwoodchipsbynearinfraredspectroscopy
_version_	1714202689448968192

Estimation of moisture in wood chips by Near Infrared Spectroscopy

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