MSACL 2025 Industry Workshop Presentation *This Podium Presentation is occuring in the context of an Industry Workshop that starts at the time below. Its actual start time may be up to 40 minutes later, depending on order of presentation if there are multiple presentations planned by the workshop host. Workshop Host: Shimadzu Day: Tuesday September 23 Time: 12:45* Location: Montreal 5 (Track 4)

Automating a Comprehensive Amino Acid Panel for Inborn Errors of Metabolism, from Sample Preparation to Analysis.
	Stephen Master, MD, PhD, FADLM Children's Hospital of Philadelphia
Presenter Bio: Stephen Master received his undergraduate degree in Molecular Biology from Princeton University, and subsequently obtained his MD and PhD from the University of Pennsylvania School of Medicine. After residency in Clinical Pathology at Penn, he stayed on as a faculty member with a research focus in mass spectrometry-based proteomics as well as extensive course development experience in bioinformatics. After time as an Associate Professor of Pathology and Laboratory Medicine at Weill Cornell Medicine in New York City, where he served as Director of the Central Lab and Chief of Clinical Chemistry Laboratory Services, he took a position at the Children's Hospital of Philadelphia as Chief of Lab Medicine. One of his current interests is in the applications of bioinformatics and machine learning for the development of clinical laboratory assays. He would play with R for fun even if he weren't getting paid, but he would appreciate it if you didn't tell that to his department chair.

Analysis of amino acids is a powerful tool for screening and monitoring inborn errors of metabolism (IEMs) alongside analysis of acylcarnitines, and organic acids. In this presentation the speakers discuss the development and implementation of an un-derivatized amino acid assay on an LC-MS/MS platform with an online and automated sample preparation module. The speakers will highlight aspects of the assay development journey from method development to validation.