
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.

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.