Multivariate Data Analysis of In Situ Pulp Kinetics Using ¹³C CP/MAS NMR

Abstract

¹³C CP/MAS NMR spectra of birch pulp samples were measured at regular intervals during the kraft pulping process. General multivariate data analysis methods based on principal components were used to extract the spectral information content and to relate these components to chemical descriptors such as lignin content. It was shown that this approach has an improved predictive ability relative to traditional methods. Model parameters could also be used to construct subspectra with independent information.