Journal
MOLECULES
Volume 27, Issue 10, Pages -Publisher
MDPI
DOI: 10.3390/molecules27103167
Keywords
non-target screening; passive sampling; contaminants of emerging concern; transformation products; wastewater; river water; semi-quantification
Funding
- EU PRIMA program through the research project INWAT-Quality and management of intermittent river and groundwater in Mediterranean basins
- Water Joint Programming Initiative (JPI) through the research project IDOUM-Innovative Decentralized and low-cost treatment systems for Optimal Urban wastewater Management
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In recent years, various groups of organic micropollutants, including pharmaceuticals and pesticides, have emerged in the environment, leading to increased environmental and human health risks. To assess these risks, it is important to determine the occurrence of these pollutants in the environment. Therefore, many studies have focused on improving the extraction efficiency of organic micropollutants from different environmental matrices, as well as their detection parameters and acquisition modes using mass spectrometry. This paper presents different sampling methodologies and high-resolution mass spectrometry-based non-target screening workflows for the identification of pharmaceuticals, pesticides, and their transformation products in different types of water. Through the application of a passive sampling technique, 85 and 47 contaminants were identified in wastewater effluent and river water, respectively. Prioritization of contaminants was also conducted through semi-quantification in grab samples for monitoring schemes.
Different groups of organic micropollutants including pharmaceuticals and pesticides have emerged in the environment in the last years, resulting in a rise in environmental and human health risks. In order to face up and evaluate these risks, there is an increasing need to assess their occurrence in the environment. Therefore, many studies in the past couple of decades were focused on the improvements in organic micropollutants' extraction efficiency from the different environmental matrices, as well as their mass spectrometry detection parameters and acquisition modes. This paper presents different sampling methodologies and high-resolution mass spectrometry-based non-target screening workflows for the identification of pharmaceuticals, pesticides, and their transformation products in different kinds of water (domestic wastewater and river water). Identification confidence was increased including retention time prediction in the workflow. The applied methodology, using a passive sampling technique, allowed for the identification of 85 and 47 contaminants in the wastewater effluent and river water, respectively. Finally, contaminants' prioritization was performed through semi-quantification in grab samples as a fundamental step for monitoring schemes.
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