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Article Dans Une Revue Environmental Science and Pollution Research Année : 2023

Non-target analysis for water characterization: wastewater treatment impact and selection of relevant features

Résumé

Non-target analyses were conducted to characterize and compare the molecular profiles (UHPLC-HRMS fingerprint) of water samples from a wastewater treatment plant (WWTP). Inlet and outlet samples were collected from three campaigns spaced 6 months apart in order to highlight common trends. A significant impact of the treatment on the sample fingerprints was shown, with a 65–70% abatement of the number of features detected in the effluent, and more polar, smaller and less intense molecules found overall compared to those in WWTP influent waters. Multivariate analysis (PCA) associated with variations of the features between inlets and outlets showed that features appearing or increasing were correlated with effluents while those disappearing or decreasing were correlated with influents. Finally, effluent features considered as relevant to a potentially adverse effect on aqueous media (i.e. those which appeared or increased or slightly varied from the influent) were highlighted. Three hundred seventy-five features common with the 3 campaigns were thus selected and further characterized. For most of them, elementary composition was found to be C, H, N, O (42%) and C, H, N, O, P (18%). Considering the MS2 spectra and several reference MS2 databases, annotations were proposed for 35 of these relevant features. They include synthetic products, pharmaceuticals and metabolites.

Domaines

Chimie
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Dates et versions

hal-04412740 , version 1 (23-01-2024)

Identifiants

Citer

Solène Motteau, Marie Deborde, Bertrand Gombert, Nathalie Karpel Vel Leitner. Non-target analysis for water characterization: wastewater treatment impact and selection of relevant features. Environmental Science and Pollution Research, 2023, 31 (3), pp.4154-4173. ⟨10.1007/s11356-023-30972-0⟩. ⟨hal-04412740⟩
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