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Wednesday, 25 March 2026
12:30pm New Delhi | 3:00pm Singapore | 4:00pm Seoul/Tokyo | 6:00pm Sydney
Discover how automation and machine learning are redefining N-nitrosamine detection in pharmaceutical products.
In this webinar, learn how advanced analytical strategies improve sensitivity, accelerate method development, and strengthen product safety — all while increasing laboratory efficiency.
Key takeaways:
- Automated microextraction methods to simplify and standardize analytical workflows
- Machine learning approaches to enhance analytical accuracy and performance
- Bayesian optimization to reduce time and experimental burden for method development
Gain practical insights from AstraZeneca’s experience and discover how to build faster, smarter, and more sustainable analytical workflows. Don't miss this opportunity to stay ahead in the field of pharmaceutical analysis.
Speakers
Giorgio Blom
Associate Principal Scientist | AstraZeneca
Giorgio Blom is an Associate Principal Scientist in Trace Analysis at AstraZeneca in the UK, working in Pharmaceutical Technology and Development. He leads AstraZeneca's global Trace Analysis Expert Working Group. His work encompasses the development of novel methods to enable accurate and reliable quantitation of nitrosamines and their precursors to low parts per billion levels in drug substance, drug product, and excipients, with a focus on automation and QBD principles. As part of his role, Giorgio works with various industry groups to define best-practice procedures for trace analysis within the pharmaceutical industry and influence future practices. Giorgio obtained his degree in Chemistry with a major in Forensic Science from Avans University in the Netherlands and obtained his PhD in the field of Forensic Taphonomy.
Amy Moore
Analytical Scientist | AstraZeneca
Amy Moore is an Analytical Scientist at AstraZeneca, contributing to drug development projects through automated workflows, chromatography, mass spectrometry, and ICP techniques. She began with a placement year at AstraZeneca Macclesfield, where she focused on LC and GC method development, 2D NMR characterization, trace analysis, and laboratory automation. After joining Chemical Development as a graduate, Amy progressed to the Trace and Mass Spectrometry Team, expanding her expertise in robotic automation and advanced analytical technologies to improve the efficiency and accuracy of pharmaceutical analysis to low parts per billion levels across AstraZeneca's drug portfolio. Amy completed her MSci in Chemistry with a year in industry at the University of Liverpool.