The Tuesday afternoon session on gas chromatography (GC) applications includes three talks from instrument vendors.
The Tuesday afternoon session on gas chromatography (GC) applications includes three talks from instrument vendors.
The first presentation, by Ulrich Gokeler of Siemens, discusses the benefits of transferring routine GC analyses to automatic on-line measurement. Because an on-line approach enables more frequent measurements and repeatable sample conditions, it may be possible to improve process and quality control as well as to minimize safety concerns. The transfer can also lead to cost savings.
The next talk presents the work of a team of scientists from two organizations: Itsuko Iwai, Dave Randle, and Robert Freeman, all of Frontier Laboratories, and Terry Ramus of Diablo Analytical. The talk will discuss the analysis of phthalates using thermal desorption GC combined with mass spectrometry detection (TD-GC–MS). TD-GC–MS is one of the easiest and most accurate methods for phthalate analysis. The talk will focus on the quantitative analysis of regulated phthalates in a sample with high concentrations of unregulated phthalates.
The final talk of the session, by Shawn Wilson of Inficon, will cover refinery gas analysis with temperature-programmable micro GC. Micro GC instrumentation combines microelectromechanical system (MEMS) technology with a modular GC platform to perform parallel analysis on refinery gas samples, significantly reducing the analysis time from the typical 30 minutes of traditional GC to 3 minutes.
This session will be held from 1:00 to 2:20 pm.
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.