This morning session, which begins at 11:15 a.m., kicks off with a talk by Luis Colon of the State University of New York at Buffalo, on aminophenyl-derived phases on superficially porous silica particles.
This morning session, which begins at 11:15 a.m., kicks off with a talk by Luis Colon of the State University of New York at Buffalo, on aminophenyl-derived phases on superficially porous silica particles.
Zhimin Li of Waters Corporation will then present an evaluation of a biocompatible UHPLC system for method transfer of biopharmaceutical assays.
The third talk, from Barry Boyes of Advanced Materials Technologies, will discuss manipulating protein variant separations using high-performance superficially porous particles with large pores.
Takuya Kubo of Kyoto University in Japan will close the session with a talk on p interactions in liquid chromatography.
GC–TOF-MS Finds 250 Volatile Compounds in E-Cigarette Liquids
November 1st 2024A study has used gas chromatography coupled to a time-of-flight mass spectrometer to build an electron ionization mass spectra database of more than 250 chemicals classified as either volatile or semi-volatile compounds. An additional, confirmatory layer of liquid chromatography–mass spectrometry analysis was subsequently performed.
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.
Multivariate Design of Experiments for Gas Chromatographic Analysis
November 1st 2024Recent advances in green chemistry have made multivariate experimental design popular in sample preparation development. This approach helps reduce the number of measurements and data for evaluation and can be useful for method development in gas chromatography.