Nonlinear Manifold Learning Determines Microgel Size from Raman Spectroscopy

arXiv:2403.08376v1 Announce Type: new
Abstract: Polymer particle size constitutes a crucial characteristic of product quality in polymerization. Raman spectroscopy is an established and reliable process analytical technology for in-line concentration monitoring. Recent approaches and some theoretical considerations show a correlation between Raman signals and particle sizes but do not determine polymer size from Raman spectroscopic measurements accurately and reliably. With this in mind, we propose three alternative machine learning workflows to perform this task, all involving diffusion maps, a nonlinear …

abstract arxiv correlation cs.lg line manifold monitoring particle process product quality show spectroscopy technology type