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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Autores principales: | , , , , |
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Lenguaje: | English |
Publicado: |
Sociedad Chilena de Química
2003
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Materias: | |
Acceso en línea: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-97072003000300003 |
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Sumario: | 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 |
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