Method Development for Multi-class, Multi-residue Analysis in Matrices

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.

Presenter: Hui Zhao (Pre-Sales Application Engineer, Agilent Technologies, Inc.)

Hui has 13 years of industry experience developing and validating analytical methods for food/feed nutrition, food safety, dietary supplements and botanicals testing, using a variety of analytical techniques including LC-TQ, LC-QTOF, LC-DAD and GC-MS and a breadth of sample preparation methodologies. She has worked as a Research Scientist at Monsanto, EPL-Bioanalytical Services, Tate & Lyle, Inc. and Lead Staff Scientist at Covance Food Solutions. She holds a Master of Science degree in Analytical Chemistry from Lanzhou University in China and a Ph.D. in Analytical Chemistry from the University of Missouri.

Prior to becoming a Pre-Sales AE, Hui worked as an LCMS application scientist in Agilent’s global market development group where her primary focus was food and environmental market development.