Estimation of moisture in wood chips by Near Infrared Spectroscopy
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| Format: | Artículo científico |
| Language: | en |
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Universidad del Bío Bío
2020
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| _version_ | 1876456204750815232 |
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| author | Evelize A. Amaral |
| author_facet | Evelize A. Amaral |
| contents | Estimation of moisture in wood chips by Near Infrared Spectroscopy Evelize A. Amaral Luana M. Santos Emylle V. S. Costa Paulo F. Trugilho Paulo R. G. Hein Agrociencias paper Cellulose optical fiber integrating sphere physical properties 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. 2020 artículo científico 0717-3644 https://www.redalyc.org/articulo.oa?id=48564750004 https://www.redalyc.org/journal/485/48564750004/ https://www.redalyc.org/journal/485/48564750004/html/ https://www.redalyc.org/journal/485/48564750004/48564750004.epub https://www.redalyc.org/journal/485/48564750004/movil en http://www.redalyc.org/revista.oa?id=485 Maderas. Ciencia y Tecnología application/pdf Universidad del Bío Bío Maderas. Ciencia y Tecnología (Chile) Num.3 Vol.22 |
| format | Artículo científico |
| id | redalyc_48564750004 |
| institution | Redalyc |
| language | en |
| publishDate | 2020 |
| publisher | Universidad del Bío Bío |
| spellingShingle | Estimation of moisture in wood chips by Near Infrared Spectroscopy Evelize A. Amaral Agrociencias paper Cellulose optical fiber integrating sphere physical properties Estimation of moisture in wood chips by Near Infrared Spectroscopy Evelize A. Amaral Luana M. Santos Emylle V. S. Costa Paulo F. Trugilho Paulo R. G. Hein Agrociencias paper Cellulose optical fiber integrating sphere physical properties 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. 2020 artículo científico 0717-3644 https://www.redalyc.org/articulo.oa?id=48564750004 https://www.redalyc.org/journal/485/48564750004/ https://www.redalyc.org/journal/485/48564750004/html/ https://www.redalyc.org/journal/485/48564750004/48564750004.epub https://www.redalyc.org/journal/485/48564750004/movil en http://www.redalyc.org/revista.oa?id=485 Maderas. Ciencia y Tecnología application/pdf Universidad del Bío Bío Maderas. Ciencia y Tecnología (Chile) Num.3 Vol.22 |
| title | Estimation of moisture in wood chips by Near Infrared Spectroscopy |
| topic | Agrociencias paper Cellulose optical fiber integrating sphere physical properties |
| url | https://www.redalyc.org/articulo.oa?id=48564750004 https://www.redalyc.org/journal/485/48564750004/ https://www.redalyc.org/journal/485/48564750004/html/ https://www.redalyc.org/journal/485/48564750004/48564750004.epub https://www.redalyc.org/journal/485/48564750004/movil |