Quantitative characterization of lignocellulosic biomass using surrogate mixtures and multivariate techniques

► PLS models calibrated using ternary mixture experimental design. ► Data processing technique greatly effects predictive ability of PLS model. ► Multiplicative effects were eliminated using SNV and OSC data preprocessing. ► First and 2nd derivative processing produced reasonable composition predictions.