Effective Cleanup of Fat Containing Samples in the Analysis of Contaminant Residues
High fat content of foods has been a problem when analyzing samples for nonpolar contaminants such as pesticides, PCBs, and PAHs. Extraction methods for these compounds tend to generate samples that are highly contaminated with fatty matrix, causing a number of problems with the subsequent chromatographic analysis. Traditional cleanup techniques, such as gel permeation chromatography (GPC) and normal phase column chromatography can be very effective, but are often expensive and time consuming. In this seminar, we will present an alternative approach to the cleanup of fats using a novel zirconia-based family of sorbents, for both QuEChERS (dispersive SPE) and traditional cartridge SPE.
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.
