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Title:In situ evaluation of an active-passive sampling (APS) technique for monitoring psychoactive compounds in effluent wastewater
Authors:ID Anies, Allen Jun (Author)
ID Laimou-Geraniou, Maria (Author)
ID Quireyns, Maarten (Author)
ID Verovšek, Taja, Institut "Jožef Stefan" (Author)
ID Heath, David John, Institut "Jožef Stefan" (Author)
ID Heath, Ester, Institut "Jožef Stefan" (Author)
ID Town, Raewyn M. (Author), et al.
Files:URL URL - Source URL, visit https://www.sciencedirect.com/science/article/pii/S0269749126003003
 
.pdf PDF - Presentation file, download (6,36 MB)
MD5: C700376C8112C9DAF2B4E1C20B149C7E
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo IJS - Jožef Stefan Institute
Abstract:Monitoring of psychoactive drugs and their metabolites in wastewater is critical to understanding their environmental fate and potential impacts. Passive sampling offers a complementary approach to conventional composite sampling, providing time-integrated monitoring, while offering insights into bioavailable fractions of compounds. This study evaluates the applicability of an active-passive sampling (APS) approach for monitoring eight psychoactive compounds in effluent wastewater, integrating field deployments with predictive modelling of sorbent-to-water partition coefficients (K[sw]). APS and diffusive gradients in thin films (DGT) samplers, equipped with hydrophilic-lipophilic balanced (HLB) and mixed-mode cation exchange (MCX) sorbents were deployed alongside daily composite sampling during 2023-2024 monitoring campaigns in Belgium and Slovenia. APS exhibited non-linear uptake kinetics indicative of non-ideal sink behaviour and additional mass-transfer limitations, including interfacial effects, while DGT uptake remained predominantly diffusion-controlled over the deployment periods. K[SW] values were predicted using tree-based machine-learning models (Random Forest and XGBoost), enabling robust interpretation of APS data under near-equilibrium conditions. APS and DGT measurements generally showed good agreement, though APS concentrations were systematically higher for most compounds, with differences influenced by sorbent type and environmental factors. The controlled laminar flow of APS enhanced sorption consistency under variable wastewater conditions. Comparisons with composite sampling highlighted the complementary nature of these approaches, with APS providing additional insights on bioavailable and particle-bound fractions. Overall, APS presents a robust and versatile tool for monitoring psychoactive compounds, supporting quantitative assessment of contaminant dynamics, bioavailability, and fate in aquatic systems.
Keywords:wastewater monitoring, diffusive gradients in thin films, psychoactive compounds, uptake kinetics, predictice modelling
Publication status:Published
Publication version:Version of Record
Submitted for review:23.01.2026
Article acceptance date:05.03.2026
Publication date:10.03.2026
Publisher:Elsevier
Year of publishing:2026
Number of pages:str. 1-12
Numbering:Vol. 397, [article no.] 127930
Source:Nizozemska
PID:20.500.12556/DiRROS-28381 New window
UDC:54
ISSN on article:1873-6424
DOI:10.1016/j.envpol.2026.127930 New window
COBISS.SI-ID:271814915 New window
Copyright:© 2026 The Authors.
Note:Nasl. z nasl. zaslona; Soavtorji iz Slovenije: Maria Laimou-Geraniou, Taja Verovšek, David Heath, Ester Heath; Opis vira z dne 16. 3. 2026;
Publication date in DiRROS:16.03.2026
Views:33
Downloads:18
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Record is a part of a journal

Title:Environmental pollution
Publisher:Elsevier
ISSN:1873-6424
COBISS.SI-ID:23167749 New window

Document is financed by a project

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:P1-0143-2020
Name:Kroženje snovi v okolju, snovna bilanca in modeliranje okoljskih procesov ter ocena tveganja

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:N1-0047-2016
Name:Zamenjave bisfenola A: prehajanje iz materialov v stiku z živili, kroženje in izpostavljenost ljudi

Funder:ARIS - Slovenian Research and Innovation Agency
Project number:L7-4422-2022
Name:"UPTAKE": PONOVNA UPORABA VODE IN BLATA IZ ČISTILNIH NAPRAV V KMETIJSTVU: PRIVZEM IN PORAZDELITEV PRIORITETNIH ONESNAŽIL V MODELNI RASTLINI PARADIŽNIKA

Funder:Research Foundation - Flanders
Project number:G060920N

Funder:Research Foundation - Flanders
Project number:1148622N

Funder:Research Foundation - Flanders
Project number:1225924N

Licences

License:CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
Link:http://creativecommons.org/licenses/by-nc/4.0/
Description:A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.
Licensing start date:10.03.2026
Applies to:VoR

Secondary language

Language:Slovenian
Keywords:monitoring odpadnih voda, psihoaktivne spojine, kinetika privzema


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