Alcohol determination
A rapid method has been developed for detecting ethyl carbamate (EC) in alcohol.
A rapid method has been developed for detecting ethyl carbamate (EC) in alcohol.1 EC is present in a range of alcohols and is potentially carcinogenic to humans.
The team extracted EC using liquid-liquid extraction technique. They then silylated with bis-(trimethylsilyl)trifuoroacetamide and finally analysed the sample by GC–MS. Isopropyl carbamate was used as the internal standard for quantitative analysis of the sample. The optimum extraction conditions of pH = 9 and ethyl acetate as the solvent were used. A derivatization reaction temperature of 80 ºC and a duration of 30 min was also employed.
The study was carried out on 35 kinds of alcoholic samples and it was concluded that the technique was a fast, reliable and low-cost method for the determination of EC in alcohol.
1. Y. Hu et al., Journal of Separation Science, doi:10.1002/ jssc.201100526 (2012).
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.
