ESTIMATING THE DENSITY AND PULPING YIELD OF E. globulus WOOD BY DRIFT-MIR SPECTROSCOPY AND PRINCIPAL COMPONENTS REGRESSION (PCR)
The ability of mid-infrared (MIR) spectroscopy as a quick technique for determining wood properties of Eucalyptus globulus plantations, specifically basic density and pulping yield, has been examined. Twenty-seven samples were used as a calibration set and other three, for prediction making based on...
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Sociedad Chilena de Química
2003
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oai:scielo:S0717-970720030003000032004-01-30ESTIMATING THE DENSITY AND PULPING YIELD OF E. globulus WOOD BY DRIFT-MIR SPECTROSCOPY AND PRINCIPAL COMPONENTS REGRESSION (PCR)Freer,JuanitaRuiz,JoséPeredo,Miguel A.Rodríguez,JaimeBaeza,Jaime DRIFT-MIR PCR wood properties prediction The ability of mid-infrared (MIR) spectroscopy as a quick technique for determining wood properties of Eucalyptus globulus plantations, specifically basic density and pulping yield, has been examined. Twenty-seven samples were used as a calibration set and other three, for prediction making based on calibration (validation set). Calibrations and predictions through principal components regression (PCR) were obtained through the Quant+ chemometrics. Spectral data for a PCR model based on diffuse reflectance infrared Fourier transform (DRIFT), gave standard prediction error values of 21.44 kg m-3 and 1.73 % for basic density and pulping yield, respectively. The method allows to predict density (R² = 0.84) and pulping yield (R²= 0.40) from a single spectral MIR measurementinfo:eu-repo/semantics/openAccessSociedad Chilena de QuímicaJournal of the Chilean Chemical Society v.48 n.3 20032003-09-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-97072003000300003en10.4067/S0717-97072003000300003 |
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Scielo Chile |
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Scielo Chile |
language |
English |
topic |
DRIFT-MIR PCR wood properties prediction |
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DRIFT-MIR PCR wood properties prediction Freer,Juanita Ruiz,José Peredo,Miguel A. Rodríguez,Jaime Baeza,Jaime ESTIMATING THE DENSITY AND PULPING YIELD OF E. globulus WOOD BY DRIFT-MIR SPECTROSCOPY AND PRINCIPAL COMPONENTS REGRESSION (PCR) |
description |
The ability of mid-infrared (MIR) spectroscopy as a quick technique for determining wood properties of Eucalyptus globulus plantations, specifically basic density and pulping yield, has been examined. Twenty-seven samples were used as a calibration set and other three, for prediction making based on calibration (validation set). Calibrations and predictions through principal components regression (PCR) were obtained through the Quant+ chemometrics. Spectral data for a PCR model based on diffuse reflectance infrared Fourier transform (DRIFT), gave standard prediction error values of 21.44 kg m-3 and 1.73 % for basic density and pulping yield, respectively. The method allows to predict density (R² = 0.84) and pulping yield (R²= 0.40) from a single spectral MIR measurement |
author |
Freer,Juanita Ruiz,José Peredo,Miguel A. Rodríguez,Jaime Baeza,Jaime |
author_facet |
Freer,Juanita Ruiz,José Peredo,Miguel A. Rodríguez,Jaime Baeza,Jaime |
author_sort |
Freer,Juanita |
title |
ESTIMATING THE DENSITY AND PULPING YIELD OF E. globulus WOOD BY DRIFT-MIR SPECTROSCOPY AND PRINCIPAL COMPONENTS REGRESSION (PCR) |
title_short |
ESTIMATING THE DENSITY AND PULPING YIELD OF E. globulus WOOD BY DRIFT-MIR SPECTROSCOPY AND PRINCIPAL COMPONENTS REGRESSION (PCR) |
title_full |
ESTIMATING THE DENSITY AND PULPING YIELD OF E. globulus WOOD BY DRIFT-MIR SPECTROSCOPY AND PRINCIPAL COMPONENTS REGRESSION (PCR) |
title_fullStr |
ESTIMATING THE DENSITY AND PULPING YIELD OF E. globulus WOOD BY DRIFT-MIR SPECTROSCOPY AND PRINCIPAL COMPONENTS REGRESSION (PCR) |
title_full_unstemmed |
ESTIMATING THE DENSITY AND PULPING YIELD OF E. globulus WOOD BY DRIFT-MIR SPECTROSCOPY AND PRINCIPAL COMPONENTS REGRESSION (PCR) |
title_sort |
estimating the density and pulping yield of e. globulus wood by drift-mir spectroscopy and principal components regression (pcr) |
publisher |
Sociedad Chilena de Química |
publishDate |
2003 |
url |
http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-97072003000300003 |
work_keys_str_mv |
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