Jun Hyung Ahn

Clinical Program Director - Mass Spectrometry and Advanced Diagnostics, at Children’s Hospital of Philadelphia

Stephen R. Master, MD, PhD, FADLM

Division Chief and Director of Metabolic and Advanced Diagnostics at Children's Hospital of Philadelphia

Frank Streit, Doctor of Natural Sciences 

Institute of Clinical Chemistry / UMG-Laboratories, University Medical Center Göttingen

Automating a Comprehensive Amino Acid Panel for Inborn Errors of Metabolism, from Sample Preparation to Analysis
Stephen R. Master, MD, PhD, and Jun Hyung Ahn, Children’s Hospital of Philadelphia

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.

Automated LCMS-Solution Ready for 24/7
Dr. Frank Streit, Institute of Clinical Chemistry / UMG-Laboratories, University Medical Center Göttingen

Connecting the CLAM-2040 clinical laboratory automation module to an LC-MS/MS instrument allows fully automated measurements of hundreds of compounds using several multiparametric LC-MS/MS methods.

An introduction to the online automated module will be given and attendees will get a better understanding of how this innovative technology enables routine 24/7 LC-MS/MS analysis. It allows specialists to set up new assays and implement them into routine clinical workflows in a very short time.

Calibration, QC samples, and patient sample measurement can be performed with an intuitive user-friendly interface. Quality control is embedded into the software and can be used to quickly check QC results.

Validation data for antibiotics, antiepileptics, antidepressants, antimycotics, and direct oral anti-coagulants will be presented. Measurement accuracy, long-term calibration stability, and robustness will be highlighted.