Tuesday Afternoon Session: Nano-Scale and Microfluidic Separations and Mass Spectrometry
This Tuesday afternoon session (TOB) will take place from 2:30?4:30 p.m. in room 307-308. The session will be presided over by Bryan Fonslow of Scripps Research Institute.
This Tuesday afternoon session (TOB) will take place from 2:30–4:30 p.m. in room 307-308. The session will be presided over by Bryan Fonslow of Scripps Research Institute.
The first talk in this session is titled “Next Generation Blood Sampling For Mass Spectral Analysis Of Proteins and Metabolites” and will be presented by Fred E. Regnier of Purdue University in West Lafayette, Indiana. Regnier is the recipient of the 2014 LCGC Lifetime Achievement in Chromatography Award as well as a member of LCGC’s editorial advisory board.
The second talk will be given by John A. Mclean of Vanderbilt University in Nashville, Tennessee. Mclean’s talk is titled “Peering into Biology from the Outside: Exometabolic Microfluidics-Based Platforms Integrated with Structural Mass Spectrometry for Systems, Synthetic, and Chemical Biology.”
Next, Barry L. Karger of the Barnett Institute at Northeastern University in Boston, Massachusetts will present. Karger’s talk is titled “High Peak Capacity Ultranarrow PLOT LC Columns Coupled to Mass Spectrometry for Proteomic Analysis of Vanishingly Small Samples.”
“High Resolution HILIC for Proteomic LC-MS” is the next talk on the schedule. Yasushi Ishihama of Kyoto University in Kyoto, Japan will present this.
Liangliang Sun of the University of Notre Dame in South Bend, Indiana will present next. Sun’s talk is titled “Capillary Zone Electrophoresis-Electrospray Ionization-Tandem Mass Spectrometry for Highly Sensitive Shotgun Proteomics.”
The final talk in this session is titled “A Hybrid Microchip/Capillary Electrophoresis Mass Spectrometry Platform for Rapid and Ultrasensitive Bioanalysis.” This talk will be given by Keqi Tang of Pacific Northwest National Laboratory in Richland, Washington.
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.
