PFAS Detection

SIRIUS integrates a specialized PFAS detection strategy as part of the pre-processing to merge PFAS detection with general small molecule annotation. SIRIUS automatically detects strong polyfluorination signatures directly from the data, dynamically enabling fluorine for de novo formula annotation only when plausible. Subsequent annotation methods guarantee that a compound is only annotated as PFAS if it is objectively the best hypothesis.

This archive showcases discoveries and major breakthroughs by research groups worldwide detecting PFAS using SIRIUS.

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Discoveries

Reducing PFAS Emissions: Efficacy of Abatement Systems at Fluoropolymer Plants Investigated Using SIRIUS

Fluoropolymer production plants are an obvious source for PFAS emission into our environment. They have invested in abatement systems to curtail the emission of PFAS but their efficacy has not been reported in peer-reviewed literature. A recent study investigates their efficacy and reveals a more complex emission profile than previously understood. In a suspect screening approach using SIRIUS, they detected a homologous series of previously overlooked polymerization byproducts.

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Discoveries

Uncovering Hidden Contaminants in Human Milk: Non-Targeted Biomonitoring with SIRIUS

Human milk is the ideal source of nutrition for infants, but growing concerns exist about the presence of chemical contaminants that can find their way into it. For years, scientists have relied on targeted analysis, a method that can only find what they are already looking for. In this non-targeted approach utilizing SIRIUS, researcher successfully identify common and previously unreported chemical contaminants and gain a more comprehensive understanding of the chemical exposures mothers and infants face.

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