Recent Advances in the Preparation and Application of Monolithic Capillary Columns
Researchers from the China Pharmaceutical University in Nanjing, China, have published a review of the recent advances in the preparation and application of monolithic capillary columns in separation science.
Researchers from the China Pharmaceutical University in Nanjing, China, have published a review of the recent advances in the preparation and application of monolithic capillary columns in separation science. The publication features a review of three novel preparation strategies for the preparation of capillary monoliths, including ionic liquid-based approaches, nanoparticle-based approaches, and a “click chemistry” approach. Furthermore, the article summarizes the recent strategies utilized in constructing different capillary monoliths for enantiomeric separation, and describes the advancement of capillary monoliths for complex sample analysis.
For more information please see T. Hong et al., Anal. Chim. Acta 931, 1–24 (2016). doi:10.1016/j.aca.2016.05.013
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.
