Recent Developments in Column Technologies for the Analysis of Proteins and Peptides
Special Issues
Column developments in HPLC have benefited protein aqnd peptide separations in a number of ways. More silica based phases and column formats have become available, expanding the use of HPLC for the separation of proteins by different modes of chromatography as well as improving resolution and throughput. Hydrophobic interaction chromatography, immobilized metal affinity chromatography as well as ion Exchange and size exclusion are now practical analytical tools for proteins and peptides. New enrichment columns are benefiting proteomic research.
New Study Examines PFAS in Breast Milk Using LC-MS/MS
November 5th 2024On the suggestion that per- and polyfluoroalkyl substances (PFAS) affect both lactation and the human metabolome, perfluorooctanoate (PFOA) and perfluorooctane sulfonate (PFOS) were measured in the milk of 425 participants from the New Hampshire Birth Cohort Study using liquid chromatography-tandem mass spectrometry (LC-MS/MS).
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.
