Identification and determination of emerging pollutants in sewage sludge driven by UPLC-QTOF-MS data mining

Sludge from sewage treatment plants (STPs) is recognized as a sink of moderate to high lipophilic compounds resistant biodegradation. Herein, we investigate the presence emerging pollutants in sludge combining information provided by mass spectrometry detection, following ultra-performance liquid chromatography (UPLC), with use an accurate spectral database pesticides and pharmaceuticals. In first step, performance matrix solid-phase dispersion, sample preparation technique, two non-target data acquisition strategies (data dependent, DDA, independent analysis modes, DIA), used combination UPLC quadrupole time-of-flight system, are assessed using selection deuterated added either freeze-dried samples, or extracts. Possibilities limitations both modes discussed. Following DDA approach, group 68 micropollutants was identified different STPs. Some them reported this compartment for time. Finally, semi-quantitative concentration 37 samples obtained 16 Out them, 10 pharmaceuticals, showing detection frequencies median residues above 50% 100 ng g?1, respectively; highlighted be monitored order understand their behaviour during wastewater treatment.