Nitrosamines & Genotoxic Impurities in Pharmaceutical Development and Manufacturing
Nitrosamines have become one of the defining challenges in pharmaceutical analysis, and this eBook from LCGC International captures the field at a pivotal moment. Inside, a roundtable of leading voices examines a discipline progressing rapidly, yet still grappling with analytical, toxicological, and regulatory uncertainties, a survey maps the latest chromatographic and risk-modeling research, and a featured study reveals how NDSRIs can even form after a drug is swallowed, under simulated gastric conditions. Add in a practical guide to formation pathways and mitigation strategies, and you get a comprehensive look at where nitrosamine detection, regulation, and risk management stand today. Whether you're developing methods for trace-level impurity detection or want to understand where the regulatory and scientific landscape is headed, this eBook delivers the research and expert insight to keep you ahead of a genuinely moving target.
How feasible is it to integrate this Bayesian graph-theory methodology into existing commercial chromatography software workflows for semi-automated data curation in routine analytical laboratories?
Gabriel Vivó-Truyols outlines the benefits and challenges of combining graph theory with Bayesian statistics to automate peak assignment and alignment.
This week, Chromatography Online’s coverage spanned lipidomics-based early cancer detection, career paths in separation science, machine learning and uncertainty-driven approaches to LC method development, new EU wastewater rules for pharmaceutical micropollutants, automated Separation Quality Factor (SQF) evaluation in chromatography data systems, and solutions to GLP-1 peptide analysis challenges.
Gabriel Vivó-Truyols from the Spanish Council for Scientific Research, Madrid, Spain. discusses his work on using graph theory and Bayesian statistics for peak assignment and chromatographic alignment.
Gas chromatography–mass spectrometry (GC–MS) and liquid chromatography-quadrupole time-of-flight mass spectrometry (LC–qTOF–MS) reveal metabolic shifts in tricuspid regurgitation.