Open Net Zero logo
Data for: Intraday trends of chemical biomarkers in wastewater monitored through automated real-time surveillance
L o a d i n g
Organization
Swiss Federal Institute of Aquatic Science and Technology (Eawag) - view all
Update frequencyunknown
Last updated3 weeks ago
Overview

Wastewater-based epidemiology is an established approach for monitoring population-level illicit drug use. Standard methods rely on 24-hour composite samples collected from treatment plant influent. While suitable for assessing long-term consumption patterns, composite samples obscure diurnal information on daily load dynamics - valuable for understanding substance sources and normalization strategies. Currently, the required, high manual effort limits the feasibility of diurnal monitoring applications. In this study, we deployed a transportable, automated liquid chromatography-mass spectrometry system (MS2Field) at the influent of the wastewater treatment plant in Zurich, Switzerland (serving 471,000 people). Over an eight-week period from July to September 2023 - including school holidays and two major public events - samples were analyzed every 36 min (1909 total). Loads of five exogenous population biomarkers, six common illicit drug markers, and the cocaine adulterant levamisole were quantified. In parallel, hourly mobile phone data were used to estimate de facto population size and demographic composition in the catchment. Automated analysis enabled the detection of consistent, weekday-specific intraday patterns for individual substances. Population biomarkers exhibited distinct temporal profiles: paraxanthine remained stable during working hours, while candesartan declined even at peak population times - highlighting implications for normalization, particularly with day visitors. Mobile phone-based occupancy data aligned with general trends but diverged during large events, likely due to mobile toilet use, whereas chemical markers directly reflected the contributing population. During the special events, MDMA, ketamine, and amphetamine loads rose with distinct profiles - one event showing a gradual overnight rise, the other a morning peak. Daily MDMA loads were 20-fold higher during one event than typical weekends. Ketamine showed irregular spikes, possibly due to a smaller user base, rapid excretion, or direct input. Levamisole loads rose on weekends and during events, mirroring benzoylecgonine, indicating continued presence as harmful cocaine adulterant. Automated analysis reveals short-term intraday trends, providing additional insights into the sources of chemical marker loads - such as consumption, excretion, and contributions from transient populations - that are typically averaged out in standard 24-hour composite samples.

Illicit drugsonline monitoringpopulation markerssignaling data
Additional Information
KeyValue
Harvest Object Id324a2035-baa6-4108-b46f-ee3aa8488a81
Harvest Source Idd0230d8d-fb2c-4caf-94e8-8ad52bd38ad9
Harvest Source TitleThe Eawag Research Data Institutional Repository
Share this Dataset
Trust Signals
Trust Framework(s)None
Assuranceunknown
Data Sensitivity Classunknown
Licenceunknown
Files