To detect polyphenols and other xenobiotics along with their biotransformation products present in human urine, a suspect screening workflow was developed. However, as urine is an extremely complex and dynamically changing biofluid, these analytes are likely not the most abundant features present. Thus, iterative exclusion DDA was applied to get better coverage of all the features present . While the focus of this work was on polyphenols, the additional screening for other xenobiotics, including their endogenous metabolites, should highlight the potential of the HRMS approach for comprehensive exposure and effect analysis.