RT Journal Article
T1 Identification and determination of emerging pollutants in sewage sludge driven by UPLC-QTOF-MS data mining
A1 Castro Varela, Gabriela
A1 Ramil Criado, María
A1 Cela Torrijos, Rafael
A1 Rodríguez Pereiro, Isaac
K1 Sludge
K1 Emerging pollutants
K1 Non-target screening
K1 Accurate mass spectrometry
AB Sludge from sewage treatment plants (STPs) is recognized as a sink of moderate to high lipophilic compounds resistant to biodegradation. Herein, we investigate the presence of emerging pollutants in sewage sludge combining the information provided by mass spectrometry detection, following ultra-performance liquid chromatography (UPLC), with the use of an accurate spectral database of pesticides and pharmaceuticals. In a first step, the performance of matrix solid-phase dispersion, as sample preparation technique, and two non-target data acquisition strategies (data dependent, DDA, and data independent analysis modes, DIA), used in combination with a UPLC quadrupole time-of-flight system, are assessed using a selection of deuterated compounds added either to freeze-dried sludge samples, or to sludge extracts. Possibilities and limitations of both modes are discussed. Following the DDA approach, a group of 68 micropollutants was identified in sludge from different STPs. Some of them are reported in this compartment for the first time. Finally, semi-quantitative concentration data are reported for a group of 37 pollutants in samples obtained from 16 STPs. Out of them, 10 pharmaceuticals, showing detection frequencies and median sludge residues above 50% and 100 ng g−1, respectively; are highlighted as pollutants to be monitored in sludge in order to understand their behaviour during the wastewater treatment
PB Elsevier
SN 0048-9697
YR 2021
FD 2021
LK http://hdl.handle.net/10347/27108
UL http://hdl.handle.net/10347/27108
LA eng
NO Science of The Total Environment 778 (2021) 146256
NO This study was supported by Xunta de Galicia and Spanish Government through grants GRC-ED431C 2017/36, PGC2018-094613-B-I00, both co-funded by the EU FEDER program
DS Minerva
RD 2 may 2026