Resumen de Estimating the density and pulping yield of e. Globulus wood by drift-mir spectroscopy and principal components regression (pcr)

Juanita Freer, José Ruiz, Miguel A. Peredo, Jaime Rodríguez, Jaime Baeza

• 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