Use of Synthetic Peptides to Determine Relative Retention Times for Automated Targeted Protein/Peptide Quantification Method Development
The Column
Protein/peptide discovery data obtained from data-dependent experiments have been used to increase the success rate of targeted quantification assays as well as automate method building.
Protein/peptide discovery data obtained from data-dependent experiments have been used to increase the success rate of targeted quantification assays as well as automate method building. The incorporation of a quality control (QC) peptide set for discovery experiments aids the determination of relative retention times, which are stored in spectral library entries with precursor and product ion information. The inclusion of both liquid chromatography (LC) and mass spectrometry (MS) data in spectral library entries enables software programs to accurately build targeted peptide acquisition methods for large lists of peptides. The efficiency of determining the relative retention times for a set of synthetic peptides was evaluated across a number of LC–MS methods.
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.
2024 EAS Awardees Showcase Innovative Research in Analytical Science
November 20th 2024Scientists from the Massachusetts Institute of Technology, the University of Washington, and other leading institutions took the stage at the Eastern Analytical Symposium to accept awards and share insights into their research.
