Multivariate process trajectories for molecular description of <scp>MF</scp> thermal curing and correlation with hydrolytic stability

Abstract During curing of thermosetting resins the technologically relevant properties binders and coatings develop. However, is difficult to monitor due multitude chemical physical processes taking place. Precise prediction specific technological based on molecular very difficult. In this study, potential principal component analysis (PCA) regression (PCR) in Fourier transform infrared (FTIR) spectra demonstrated using example melamine‐formaldehyde (MF) resin solid state. FTIR/PCA‐based reaction trajectories are used visualize influence temperature isothermal cure. An FTIR/PCR model for predicting hydrolysis resistance cured MF from their spectral fingerprints presented which illustrates advantages compared combination differential scanning calorimetry/isoconversional kinetic analysis. The methodology transferable reactions any can be applied other final as well.