Branching in High Molar Mass Synthetic Amyloses
Wyatt Technology has published an application note on branching in high molar mass synthetic amyloses. Amylose is an occasionally-branched biopolymer and, together with amylopectin, the hyper-branched component, a constituent of starch. Determination of branching in amylopectin on the basis of amyloses may be performed with the help of synthetic amyloses. Synthetic amyloses from enzymatic (phosphorolytic) reaction were checked for their linearity.
LC–MS/MS Quantification of Plasma Proteins in Elephant Seals to Advance Wildlife Conservation
November 12th 2024Liquid chromatography and tandem mass spectrometry (LC–MS/MS) was used to show that repeated stress can cause delayed but sustained changes in blood plasma proteins associated with water conservation, immune responses, fat metabolism, insulin sensitivity, iron recycling, and hormone transport in elephant seals. Some of these changes may be novel markers of recent and chronic stress exposure in marine mammals.
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.
