Christine M. Fisher

Exact mass, isotopic distribution, and MS/MS library matching are used together to differentiate PFAS hits from sulfur-rich food compounds that share a similar mass defect range.

The approach remains non-targeted by prioritizing PFAS-like ions in the first DDA pass; the tunable mass tolerance window can be adjusted to capture structurally unusual PFAS subclasses.

Christine Fisher describes her method using mass defect filtering at the data acquisition stage to improve non-targeted PFAS detection in complex food matrices.

Matrix interferences can impact routine analysis with triple quadrupole methods for monitoring and quantifying PFAS in food.