The Chinese American Chromatography Association (CACA) invites nominations for the 2019 CACA Young Investigator Award.
The Chinese American Chromatography Association (CACA) invites nominations for the 2019 CACA Young Investigator Award.
The 2019 CACA Young Investigator Award, sponsored by Mac-Mod Analytical, recognizes outstanding contributions to the development of separation science and its applications, especially in the field of chromatography. The award is open to all CACA members who are within 10 years of receiving their highest degree at the time of the award session.
All application packages for the Young Investigator Award will be evaluated by the CACA Awards committee. Applicants are judged on the originality and overall quality of research, significance to the advancement of separation science, and other supporting factors. Measures of the impact of the work include publications, presentations, patents, and leadership roles at their research fields or place of business.
To apply to this award, an application package must consist of the following items:
Candidates can be self-nominated or nominated by any separation science experts in the field. The deadline for the 2019 CACA Young Investigator Award application is December 31, 2018. Awardees will be selected by the CACA Awards Committee and notified by January 30, 2019. Details of CACA and its free membership are listed at http://www.ca-ca.org/.
The award will be presented at the 2019 Pittcon Conference, to be held March 17–21, 2019, in Philadelphia, Pennsylvania. The awardee will give a presentation in a CACA career workshop at Pittcon 2019. A $1000 cash award and a plaque will be presented with the award.
Please send the nomination materials electronically (a single PDF file is required) to: awardnomination@ca-ca.org
To register as a member by joining the CACA group on LinkedIn, go to: http://www.linkedin.com/groups?gid=1857030. There is no membership fee.
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.
RP-HPLC to Compare Genotoxic Impurities in Extracted and Synthetic Nicotine
November 7th 2024A recent study examined the impurity profile of thirteen different lots of synthetic nicotine and compared them to fourteen lots of nicotine extracted from plants using in-house analytical methods, with samples tested for alkaloids and phenols with reversed-phase high-performance liquid chromatography (RP-HPLC).