Executive Summary: Fully Automated Sample Preparation Workflow for the GC-MS/MS Detection of Artificial Sweeteners

Growing concern over artificial sweeteners has underscored the need to better understand their impact on human metabolism and health. Researchers at the University of Applied Sciences and Arts Northwestern Switzerland (FHNW) have developed a robust workflow to detect sugar alcohols and related metabolites in biological samples. This article highlights their latest findings and demonstrates how GC– MS/MS, in combination with automated sample preparation and dried blood spot (DBS) analysis, is evolving into a powerful approach for studying sweetener metabolism in a holistic, system-wide context.