Peaks of Interest
The American Chemical Society (ACS) has named Daniel W. Armstrong, professor of chemistry and biochemistry at the University of Texas (UT) Arlington, to its 2013 Class of Fellows.
Daniel W. Armstrong Joins ACS 2013 Class of Fellows
The American Chemical Society (ACS) has named Daniel W. Armstrong, professor of chemistry and biochemistry at the University of Texas (UT) Arlington, to its 2013 Class of Fellows. An editorial advisory board member of both LCGC Europe and LCGC North America, Armstrong will join 95 other ACS members to be honored at an induction ceremony at the 246th ACS National Meeting.
The ACS cited Armstrong as the "father" of pseudo-phase separations — a type of chromatography that lowers costs, volatility, and toxicity while providing higher selectivity than other analytical methods. The award citation recognized Armstrong's "central role in the enantiomeric separations/chiral recognition revolution" and his achievements in characterizing and synthesizing ionic liquids. E. Thomas Strom, adjunct professor of chemistry at UT Arlington, nominated Armstrong for the honor, praising his ability to communicate. Strom commented: "Chemists who focus on achieving a high status research programme often forget their obligations to grow and nurture the profession. Dan has not forgotten his debt to chemistry." He added, "He exemplifies the type of person who ought to be an ACS Fellow."
In addition to coauthoring over 550 publications, Armstrong has also founded a syndicated National Public Radio (NPR) show on science titled "We're Science" that was broadcast on more than 140 NPR stations and the US Armed Forces Radio Network.
UT Arlington President Vistasp Karbhari said: "Dr. Armstrong's incredible body of work represents the epitome of the research excellence and trailblazing dedication we encourage our students and professors to aspire to." He added, "His recognition as a fellow is exceedingly well-deserved."
Thermo Fisher Scientific Opens Pesticide Analysis Center of Excellence in UK
Thermo Fisher Scientific (San Jose, California) has established a new Pesticide Analysis Center of Excellence (COE) in Runcorn, UK. The center is a new resource available to government and industrial laboratories looking to improve methods for the monitoring and measurement of pesticides in the environment.
The center is modeled after the Persistent Organic Pollutants (POP) Center of Excellence in Bremen, Germany, which was established for the improvement of POP analysis in the environment, food, and animal feed. The centers have been created to provide high-productivity analytical workflows, including expert consultation, instruments, software, sample preparation, and consumables.
Paul Silcock, Thermo Fisher Scientific marketing manager and member of the new COE, said: "Our company's ongoing mission is to enable our customers to make the world healthier, cleaner, and safer, and the ability to detect and measure pesticides is critical to this effort." He added, "We consolidated a considerable amount of expertise, instrumentation, and other resources within the center of excellence to make them highly accessible to the environmental and food testing community."
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.
