AB SCIEX and the University of Melbourne today announced a joint technology development project to improve drug metabolism studies of biopharmaceuticals.
AB SCIEX and the University of Melbourne today announced a joint technology development project to improve drug metabolism studies of biopharmaceuticals.
This project is focused on developing a standardized testing methodology based on an approach pioneered by scientists at the University of Melbourne on the AB SCIEX QTRAP 5500 system. The approach would allow scientists to follow the fate of the breakdown of protein-based drugs in vivo. This could help drug discovery scientists better determine the effectiveness and safety of peptide and protein therapeutic agents that are advanced through regulatory processes and ultimately sold on the consumer market.
“Targeting the unknown breakdown products of a biologic without knowing what they are is revolutionary in the biopharmaceutical industry. The technology we are developing with AB SCIEX will give scientists the unique ability to produce metabolism profiles for peptide and protein drugs that the industry simply cannot do right now. This is essential for advancing an increasing number of biopharma drugs to market,” said Anthony Purcell, associate professor, senior research fellow and a principal investigator at the department of biochemistry and molecular biology, the Bio21 Molecular Science and Biotechnology Institute at the University of Melbourne.
For more information visit www.absciex.com
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.