Recent studies demonstrated the feasibility of exposome-wide association studies (ExWAS), e.g. extensive effect biomarker and biomarker discovery of air pollutant exposure ) and linking metabolic profiling and exposure to perfluoroalkyl substances . However, several independent measurements were required to capture the metabolome and the chemical exposome, increasing the measurement time compared to our 15 min LC-HRMS/MS run covering both polar metabolites and the primarily apolar xenobiotics. Especially molecules with high vapor pressure and low boiling/melting point were not accessible with LC-MS technology. Therefore GC-MS would need to be integrated to further extend coverage . Although our fast LC-MS approach might be advantageous regarding run time, the vast concentration difference between endogenous metabolites and environmental contaminants hamper their simultaneous measurement as several endogenous metabolites were close to the detector saturation and low abundant xenobiotics still need higher