Rapid Predictive Models for Minimally Destructive Kappa Number and Pulp Yield of Acacia Spp. with near Infrared Reflectance (nir) Spectroscopy

Abstract

Kraft pulp and wood powder from Acacia spp. were selected for the development of rapid, minimally-destructive, and environmentally friendly predictions of kappa number and pulp yield, by means of near infrared reflectance (NIR) spectra. The models, based on Partial Least Squares Regression (PLS-R), were established with fifty-four calibration samples… (More)

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