Journal of the Chilean Chemical Society
versión On-line ISSN 0717-9707
FREER, Juanita et al. ESTIMATING THE DENSITY AND PULPING YIELD OF E. globulus WOOD BY DRIFT-MIR SPECTROSCOPY AND PRINCIPAL COMPONENTS REGRESSION (PCR). J. Chil. Chem. Soc. [online]. 2003, vol.48, n.3, pp. 19-22. ISSN 0717-9707. http://dx.doi.org/10.4067/S0717-97072003000300003.
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
Palabras llave : DRIFT-MIR; PCR; wood; properties prediction.