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Identifying the correct structural isomer resulting from a reaction can be a challenge for automated structure verification (ASV) systems and chemists alike. Learn how AstraZeneca is optimizing their ASV workflow and incorporating reaction prediction tools and IR data to efficiently and accurately identify their reaction products.
Principal Scientist, AstraZeneca
Discover how Novartis standardizes data workflows, accelerates analysis, and enables automated NMR data processing with ASV, supporting hundreds of users and diverse samples across their open-access system.
Find out how chromatographic method development software could help make your team more efficient and increase output through the automation workflows, appointment of dedicated analysts, and leveraging predictive modelling.
Learn how the FDA is improving accuracy in non-targeted analysis for food safety using methods such as suspect screening and retention time predictions to reduce false positives and ensure reliable chemical identification.
Explores the advantages of retention modelling in chromatography, with tips for optimizing methods and using ACD/Labs' Method Selection Suite to streamline experiments and improve separation accuracy.
