Pomegranates are loaded with antioxidants and millions of people turn to pomegranate juice for its many health benefits, but every time you take a sip from a bottle of the popular juice, how much of the actual fruit are you consuming?
Pomegranates are loaded with antioxidants and millions of people turn to pomegranate juice for its many health benefits, but every time you take a sip from a bottle of the popular juice, how much of the actual fruit are you consuming?
Scientists from the University of California have begun a series of studies using GC–MS to determine how much pomegranate is actually contained within in carton of retail pomegranate juice.
To identify the quantity of the fruit within the juice, the team of scientists looked for certain trace elements characteristic of the pomegranate, such as antioxidants unique to the fruit, as well as pigments, sugars, organic acids and amino acids.
“We’re looking at whether or not our molecular fingerprint method can be used to identify products claiming to contain pomegranate juice when they don’t,” said Dr. Cynthia Larive, professor of chemistry at the University of California.
Larive leads the team of graduate students, which uses GC–MS, liquid chromatography-mass spectrometry and nuclear magnetic resonance spectroscopy to identify issues and solve problems.
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.