Food for thought
The Food and Drug Administration (FDA), the University of Maryland and Waters Corporation have opened the International Food Safety Training Laboratory (IFSTL) ? a public?private partnership that aims to raise food standards globally, according to a Water?s press release
The Food and Drug Administration (FDA), the University of Maryland and Waters Corporation have opened the International Food Safety Training Laboratory (IFSTL) — a public–private partnership that aims to raise food standards globally, according to a Water’s press release.
The IFSTL will provide laboratory training on detection methods and tutorials on regulatory standards to educate government agencies and food exporters.
The release also states that global food trade will grow to nearly $1 trillion this year and that food safety regulations and technologies are evolving alongside consumer demand for safe, high-quality food.
Waters Executive Vice President Art Caputo said in the release that Waters approached the FDA and the university with the proposal of "a powerful public-private partnership that leverages the best expertise and resources to help build trust, collaboration and ensure the safety of our food."
The IFSTL will provide critical support to helping the FDA and foreign food producers meet requirements, such as the US Food Safety Modernization Act, which became a legal requirement earlier this year.
More information about the IFSTL, including information and registration forms for upcoming courses can be found at http://www.ifstl.org.This story originally appeared in The Column. Click here to view that issue.
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.
