Environmental: Emerging Contaminants
This Tuesday afternoon session will discuss mass spectrometry analysis of emerging environmental contaminants found in fish, wastewater effluent, arctic snow, drinking water, and other matrices. It will be chaired by Eunha Hoh of San Diego State University and will be held in Ballroom 6A from 2:30 to 4:30 p.m.
This Tuesday afternoon session will discuss mass spectrometry analysis of emerging environmental contaminants found in fish, wastewater effluent, arctic snow, drinking water, and other matrices. It will be chaired by Eunha Hoh of San Diego State University and will be held in Ballroom 6A from 2:30 to 4:30 p.m.
Jonathan Mosley of US EPA in Athens, Georgia will lead off this session with a talk titled “High-Resolution Mass Spectrometry of Skin Mucus for Monitoring Physiological Impacts and Biotransformation Products in Fish Exposed to Wastewater Effluent.” His talk will discuss an MS-based untargeted metabolomics approach that led to the discovery of contaminant biotransformation products on the skin of exposed fish.
Next, Hailemariam Assress of the University of South Africa (Johannesburg) will present a talk titled “Retrospective Suspect and Non-Target Screening of Emerging Pollutants and Transformation Products in Wastewater Effluent Using UHPLC-QTOF-MS/MS.” This presentation will describe a screening approach for pollutants in wastewater effluent previously generated for target analysis without the need for reinjection of water samples.
Judy Westrick of Wayne State University (Detroit, Michigan) will then present a talk titled “Using Mass Spectrometry to Vet Cyanotoxin Concentrations by Enzyme-Linked Immunosorbent Assay (ELISA).” In this study, targeted and untargeted workflows for microcystin MS were used to evaluate the ELISA method.
The next presentation, titled “Organic Pollutants in the Snow of Russian Arctic Islands: 2016-2017 Expeditions,” will be given by Dmitrii Mazur of Moscow State University (Moscow, Russia). Mazur’s presentation will discuss the non-targeted analysis of semivolatile organic compounds in snow samples from the Novaya Zemlya archipelago.
Hannah Liberatore of the University of South Carolina will present the next talk, “Energy Extraction and Utilization Impacts on Drinking Water Disinfection By-Product Formation and Toxicity.” She will describe an investigation of disinfection by-products from bromide, iodide, and organic precursors contributed by hydraulic fracturing and coal-fired power plant wastewaters during drinking water disinfection.
The final presentation in the session will be given by Amy McKenna of the National High Magnetic Field Laboratory in Tallahassee, Florida, and is titled “Targeted Analysis of Oxygen Transformation Products Derived from Weathered Oil by FT-ICR MS.” Her talk will discuss a comparison of heavily weathered oil residues that highlights the molecular signature of oxygenated transformation compounds of different chemical functionalities.
Measuring Stress and Reproductive Hormones in Dolphins with UPLC
November 25th 2024A recent study measured stress and reproductive hormones in three stocks of free-ranging bottlenose dolphins inhabiting different natural salinities across the Gulf of Mexico, with hormones extracted from the blubber of 82 remotely biopsied dolphins and quantified using ultra performance liquid chromatography (UPLC) coupled with orbitrap fusion mass spectrometry.
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.
