PerkinElmer (Waltham, Massachusetts) announced that the U.S. Patent & Trademark Office has awarded it a patent titled ?Methods and Systems for Characterizing a Sorbent Tube,? which describes an approach for helping users avoid manual errors in automated thermal desorption (ATD) gas chromatography (GC).
PerkinElmer (Waltham, Massachusetts) announced that the U.S. Patent & Trademark Office has awarded it a patent titled “Methods and Systems for Characterizing a Sorbent Tube,” which describes an approach for helping users avoid manual errors in automated thermal desorption (ATD) gas chromatography (GC). The method currently is being used in the company’s TurboMatrix thermal desorber GC systems and was coinvented by Andrew Tipler of PerkinElmer and Neil Plant of the Health and Safety Laboratory (Buxton, UK). According to Tipler, “In the past, analysts had to be concerned that their results could be affected by the lack of integrity of the packing materials in ATD tubes and traps.” The method reportedly enables automatic checking of packaging integrity. ATD was introduced in 1982 as a technique for isolating volatile compounds from gaseous matrices so they can be introduced as samples into a GC system. It is used in the analysis of soil, water, biofuels, polymers, packaging materials, flavors and fragrances, cosmetics, pharmaceuticals, and other applications.
GC–TOF-MS Finds 250 Volatile Compounds in E-Cigarette Liquids
November 1st 2024A study has used gas chromatography coupled to a time-of-flight mass spectrometer to build an electron ionization mass spectra database of more than 250 chemicals classified as either volatile or semi-volatile compounds. An additional, confirmatory layer of liquid chromatography–mass spectrometry analysis was subsequently performed.
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.
Multivariate Design of Experiments for Gas Chromatographic Analysis
November 1st 2024Recent advances in green chemistry have made multivariate experimental design popular in sample preparation development. This approach helps reduce the number of measurements and data for evaluation and can be useful for method development in gas chromatography.