Abstract

Treated sewage effluents contain complex mixtures of micropollutants, raising concerns about effects on aquatic organisms. The addition of advanced treatment steps has therefore been suggested. However, some of these could potentially produce effluents affecting exposed organisms by unknown modes of action. Here, (1)H NMR (proton nuclear magnetic resonance spectroscopy) metabolomics of fish blood plasma was used to explore potential responses not identified by more targeted (chemical or biological) assays. Rainbow trout was exposed in parallel to six differently treated effluents (e.g., conventional activated sludge, addition of sand filter, further addition of ozonation and/or a moving bed biofilm reactor or a separate membrane bioreactor line). Multivariate data analysis showed changes in the metabolome (HDL, LDL, VLDL and glycerol-containing lipids, cholesterol, glucose, phosphatidylcholine, glutamine, and alanine) between treatment groups. This formed the basis for postulating a hypothesis on how exposure to effluent treated by certain processes, including ozonation, would affect the metabolic profiles of exposed fish. The hypothesis withstood testing in an independent study the following year. To conclude, (1)H NMR metabolomics proved suitable for identifying physiological responses not identified by more targeted assays used in parallel studies. Whether these changes are linked to adverse effects remains to be tested.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.