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High-throughput evaluation of organic contaminant removal efficiency in a wastewater treatment plant using direct injection UHPLC-Orbitrap-MS/MS
Stockholms universitet, Naturvetenskapliga fakulteten, Institutionen för miljövetenskap och analytisk kemi.ORCID-id: 0000-0002-2379-0768
Stockholms universitet, Naturvetenskapliga fakulteten, Stockholms universitets Östersjöcentrum.
Stockholms universitet, Naturvetenskapliga fakulteten, Institutionen för miljövetenskap och analytisk kemi.ORCID-id: 0000-0001-9159-6652
Rekke forfattare: 42018 (engelsk)Inngår i: Environmental Science: Processes & Impacts, ISSN 2050-7887, E-ISSN 2050-7895, Vol. 20, nr 3, s. 561-571Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The removal efficiency (RE) of organic contaminants in wastewater treatment plants (WWTPs) is a major determinant of the environmental impact of these contaminants. However, RE data are available for only a few chemicals due to the time and cost required for conventional target analysis. In the present study, we applied non-target screening analysis to evaluate the RE of polar contaminants, by analyzing influent and effluent samples from a Swedish WWTP with direct injection UHPLC-Orbitrap-MS/MS. Matrix effects were evaluated by spiking the samples with isotope-labeled standards of 40 polar contaminants. For 85% of the compounds, the matrix effects in the influent and effluent were not significantly different. Approximately 10000 compounds were detected in the wastewater, of which 319 were identified by using the online database mzCloud. Level 1 identification confidence was achieved for 31 compounds for which we had reference standards, and level 2 was achieved for the remainder. RE was calculated from the ratio of the peak areas in the influent and the effluent from the non-target analysis. Good agreement was found with RE determined from the target analysis of the target compounds. The method generated reliable estimates of RE for large numbers of contaminants with comparatively low effort and is foreseen to be particularly useful in applications where information on a large number of chemicals is needed.

sted, utgiver, år, opplag, sider
2018. Vol. 20, nr 3, s. 561-571
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URN: urn:nbn:se:su:diva-156129DOI: 10.1039/c7em00552kISI: 000428988500013PubMedID: 29479595OAI: oai:DiVA.org:su-156129DiVA, id: diva2:1203353
Tilgjengelig fra: 2018-05-03 Laget: 2018-05-03 Sist oppdatert: 2018-05-03bibliografisk kontrollert

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