Integrating Biological Early Warning Systems with High-Resolution Online Chemical Monitoring in Wastewater Treatment Plants

Detection of micropollutants (MPs) in wastewater effluents using traditional toxicity tests or chemical analysis with discrete samples is challenging due to concentration dynamics. This study evaluates a continuous monitoring approach for detecting MPs in wastewater effluents using a combination of biological early warning systems (BEWS). Three BEWS with <i>Chlorella vulgaris</i>, <i>Daphnia magna</i>, and <i>Gammarus pulex</i> were operated in parallel in a full-scale municipal wastewater treatment plant. Concentrations of MPs were monitored by simultaneous online chemical analysis using high performance liquid chromatography-high resolution mass spectrometry (MS2Field). Over 5 weeks, behavioral changes observed in the BEWS occasionally exceeded acute toxicity thresholds, triggering alarms. These changes were related to MPs identified by the MS2Field, to abiotic factors, or to operational parameters of the BEWS. For one toxic event, behavioral responses were linked to a pesticide, not authorized in Switzerland, at concentrations close to literature EC<sub>50</sub> values. Verification tests confirmed that the pesticide in the effluent was the most likely cause for the organism response. The study demonstrates the potential of BEWS as a stand-alone technique for detecting contamination peaks in wastewater, and identifies key limitations and critical factors that need to be addressed to optimize the use of BEWS in wastewater monitoring.

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Publication Details

Journal
Environmental Science & Technology
Published
2024-12-18
DOI
https://doi.org/10.1021/acs.est.4c07316
Citations
5
Primary Topic
Advanced Chemical Sensor Technologies
Type
article
Field-Weighted Citation Impact
0.92

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article

Integrating Biological Early Warning Systems with High-Resolution Online Chemical Monitoring in Wastewater Treatment Plants

Miriam Langer, Cornelia Kienle, Ali Kizgin, Danina Schmidt et al.
5 citations
Environmental Science & Technology
Advanced Chemical Sensor Technologies
0.92
article

Integrating Biological Early Warning Systems with High-Resolution Online Chemical Monitoring in Wastewater Treatment Plants

Miriam Langer, Cornelia Kienle, Ali Kizgin, Danina Schmidt, Heinz Singer, Eberhard Morgenroth, Juliane Hollender, Julian Bosshard
article en
5 citations

Abstract

Detection of micropollutants (MPs) in wastewater effluents using traditional toxicity tests or chemical analysis with discrete samples is challenging due to concentration dynamics. This study evaluates a continuous monitoring approach for detecting MPs in wastewater effluents using a combination of biological early warning systems (BEWS). Three BEWS with <i>Chlorella vulgaris</i>, <i>Daphnia magna</i>, and <i>Gammarus pulex</i> were operated in parallel in a full-scale municipal wastewater treatment plant. Concentrations of MPs were monitored by simultaneous online chemical analysis using high performance liquid chromatography-high resolution mass spectrometry (MS2Field). Over 5 weeks, behavioral changes observed in the BEWS occasionally exceeded acute toxicity thresholds, triggering alarms. These changes were related to MPs identified by the MS2Field, to abiotic factors, or to operational parameters of the BEWS. For one toxic event, behavioral responses were linked to a pesticide, not authorized in Switzerland, at concentrations close to literature EC<sub>50</sub> values. Verification tests confirmed that the pesticide in the effluent was the most likely cause for the organism response. The study demonstrates the potential of BEWS as a stand-alone technique for detecting contamination peaks in wastewater, and identifies key limitations and critical factors that need to be addressed to optimize the use of BEWS in wastewater monitoring.

Environmental Science & TechnologyVol. 58(52)
FHNW University of Applied Sciences and Arts Northwestern Switzerland (CH), ETH Zurich (CH), Institute of Environmental Engineering (PL), Department of Physiological Sciences (RU), Swiss Federal Institute of Aquatic Science and Technology (CH), University of Tübingen (DE)
Eidgenössische Technische Hochschule Zürich, Eidgenössische Anstalt für Wasserversorgung Abwasserreinigung und Gewässerschutz
Clean water and sanitation
Openalex Percentile: Top 27%
Advanced Chemical Sensor Technologies
0.92
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