In today's webinar hosted by LCGC, presenter Vaughan Langford referenced the recent application note entitled, "Rapid Sensory Analysis of Paper Packaging Using SIFT-MS." This application note describes how SIFT-MS effectively classifies paper samples by odor intensity rating and odor descriptor, in addition to distinguishing paper composition and mill of origin. When integrated with autosamplers, SIFT-MS provides throughputs of over 220 samples per day, supporting significantly enhanced quality assurance compared to conventional human sensory panels and gas chromatography-based analyses.