Singer, Heinz P. published the artcileRapid Screening for Exposure to “”Non-Target”” Pharmaceuticals from Wastewater Effluents by Combining HRMS-Based Suspect Screening and Exposure Modeling, Quality Control of 117-96-4, the main research area is rapid screening exposure nontarget pharmaceutical wastewater; liquid chromatog high resolution mass spectrometry suspect modeling.
Active pharmaceutical ingredients (APIs) have raised considerable concern over the past decade due to their widespread detection in water resources and their potential to affect ecosystem health. This triggered many attempts to prioritize the large number of known APIs to target monitoring efforts and testing of fate and effects. However, so far, a comprehensive approach to screen for their presence in surface waters has been missing. We explore a combination of an automated suspect screening approach based on liquid chromatog. coupled to high-resolution mass spectrometry and a model-based prioritization using consumption data, readily predictable fate properties and a generic mass balance model for activated sludge treatment to comprehensively detect APIs with relevant exposure in wastewater treatment plant effluents. The procedure afforded the detection of 27 APIs that had not been covered in our previous target method, which included 119 parent APIs. The newly detected APIs included 7 compounds with a high potential for bioaccumulation and persistence, and also 3 compounds that were suspected to stem from point sources rather than from consumption as medicines. Anal. suspect screening proved to be more selective than model-based prioritization, making it the method of choice for focusing anal. method development or fate and effect testing on those APIs most relevant to the aquatic environment. However, we found that state-of-the-practice exposure modeling used to predict potential high-exposure substances can be a useful complement to point toward oversights and known or suspected detection gaps in the anal. method, most of which were related to insufficient ionization.
Environmental Science & Technology published new progress about Drugs. 117-96-4 belongs to class isoquinoline, name is Diatrizoic Acid, and the molecular formula is C11H9I3N2O4, Quality Control of 117-96-4.
Referemce:
Isoquinoline – Wikipedia,
Isoquinoline | C9H7N – PubChem