Описание: Multi-class, multi-residue analysis based on liquid chromatography-mass spectrometry (LC-MS) are becoming increasingly popular and required in regulatory monitoring programs globally owing to their extended analytical scope and laboratory efficiency; however, robust multi-class methods are still limited. Development of any large multi-class, multi-residue detection method poses significant challenges, including a large number of analytes; different physical/chemical properties ranging from hydrophilic to hydrophobic and acidic, neutral to basic; matrix effects; and compromise between analytical scope and performance characteristics. Five main phases of method development and optimization will be demonstrated including MS/MS conditions for individual compounds; LC conditions; final LC-MS/MS method; sample preparation procedure; and method validation, data acceptance criteria establishment. The general sample preparation optimization including extraction procedure, different clean-up options, and sample extract dilution scheme will also be introduced.
Лектор: Hui Zhao, Ph.D., Pre-Sales AE, Agilent Technologies, Inc.
Дата: 10 февруари 2021, 20:00 ч. българско време
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