Tuesday Morning Session Preview: Integrated Qualitative and Quantitative LC-MS for Small Molecule Analysis
This Tuesday morning session will be presided over by Alison Danell of East Carolina University, and it will be held at 8:30?10:30 a.m. in Exhibit Hall AB.
This Tuesday morning session will be presided over by Alison Danell of East Carolina University, and it will be held at 8:30–10:30 a.m. in Exhibit Hall AB.
The first presentation in the session will be delivered by Zhenzhen Wang of Michigan State University (East Lansing, Michigan) and is titled “Probing Dynamics of Plant Specialized Metabolism Through Stable Isotopic Labeling and Nonselective Collision-Induced Dissociation.”
Wang’s presentation will be followed by a talk to be given by Kristyn Roscioli of the Environmental Molecular Sciences Laboratory, PNNL (Richland, Washington) titled “Characterizing Chemical Composition of SOM Using Graduated Extractions, Deep Fractionation and LCMS to Detect/Quantify a Broad Range of Compounds.”
Next, Takayuki Kawai of the University of Illinois at Urbana-Champaign (Urbana-Champaign, Illinois) will present a talk titled “Analysis of Enantiomeric Amino Acids in Biological Samples Via Capillary Electrophoresis Coupled with Mass Spectrometry.”
Matthew Crowe of Dow Chemical Company (Collegeville, Pennsylvania) will next present “Characterization of Alkylpolyglucoside Surfactants with Liquid Chromatography/Mass Spectrometry and Evaporative Light Scattering Detection: Total Characterization without a Reference Standard.”
The next presentation will be given by Qian Ruan of the Department of Biotransformation, Bristol-Myers Squibb (Princeton, New Jersey) and will be titled “Application of Qualitative and Quantitative Analysis of HRMS to Fast Identification of Major Drug Metabolic Pathways and Drug-Metabolizing Enzymes.”
The final presentation in the session will be delivered by David Siegel of the University of Groningen (Groningen, The Netherlands). His presentation is titled “Combining Derivatization and SWATH for the Integrated Quantification and Identification of Aldehydes and Ketones in Biological Samples.”
AI and GenAI Applications to Help Optimize Purification and Yield of Antibodies From Plasma
October 31st 2024Deriving antibodies from plasma products involves several steps, typically starting from the collection of plasma and ending with the purification of the desired antibodies. These are: plasma collection; plasma pooling; fractionation; antibody purification; concentration and formulation; quality control; and packaging and storage. This process results in a purified antibody product that can be used for therapeutic purposes, diagnostic tests, or research. Each step is critical to ensure the safety, efficacy, and quality of the final product. Applications of AI/GenAI in many of these steps can significantly help in the optimization of purification and yield of the desired antibodies. Some specific use-cases are: selecting and optimizing plasma units for optimized plasma pooling; GenAI solution for enterprise search on internal knowledge portal; analysing and optimizing production batch profitability, inventory, yields; monitoring production batch key performance indicators for outlier identification; monitoring production equipment to predict maintenance events; and reducing quality control laboratory testing turnaround time.
