Comonomer Identification: Strategies and Detection Options
Macromolecules are found everywhere in our daily lives. They are produced from monomer units, small building blocks that can be polymerized to large molecules with different lengths (and, therefore, molar masses), structures, compositions, and end groups. If a macromolecule is synthesized using only one type of monomer with the same chemical structure, it is considered a homopolymer. If it comprises two different types of monomers, it is called a copolymer. In addition, terpolymers are polymers composed of three different monomers.
Since all technical polymerizations are statistical processes, a common feature of the vast majority of macromolecules is heterogeneity. The molar mass distribution is a well-known heterogeneity, and GPC/SEC is the method of choice to measure it.
In the case of copolymers, chemical composition is an additional heterogeneity that also governs the macroscopic product properties. Not only does the average percentage of comonomers present in the final product affect the material’s properties, but the distribution of the monomers along the chain also affects performance.
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.
