Application Notes: General

The GERSTEL TVOC Wizard streamlines and accelerates VDA 278 material emissions data processing by combining automated workflows, advanced deconvolution, and integrated NIST-based compound identification. Complex chromatograms—often dominated by co-eluting peaks—are reliably resolved using MCR-AR Targeted algorithms, while retention indices and customizable process steps ensure standard-compliant, high-quality results. The software eliminates error-prone manual transfers, increases data consistency, and delivers clear, customizable VOC and FOG reports aligned with industry requirements.

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.

Throughout drug development, it is important to characterize and quantify pharmaceutical compounds and any associated metabolites to ensure proper drug safety and efficacy. LC-MS/MS techniques are predominantly used for such analyses because they provide a comprehensive outlook and can offer a sensitive and selective approach for the quantification of compounds. However, limited deep fragment coverage and sensitivity challenge the confident identification and quantification of metabolites and drug products. Here, alternative fragmentation paired with a highly sensitive QTOF system was employed for comprehensive data collection to properly identify metabolites and quantify complex peptide therapeutics.

• The identification of drug metabolites is a critical step in drug development due to their impact on drug efficacy and safety. LC-MS platforms provide good selectivity and sensitivity making it the preferred technique for metabolite identification. Here, metabolite identification was performed using unique fragments from EAD and CID spectra. Fragment information from EAD and CID spectra were processed in a single result file to achieve confident structure assignment of and localization of metabolites.

CDMS is reshaping the characterization of complex biotherapeutics by enabling precise analysis of large, heterogeneous biomolecular complexes and gene therapy vectors. This article explores how CDMS enhances resolution in quality assessments across biotherapeutic development and structural biology research—surpassing the capabilities of conventional analytical techniques.