Handling concentration data below the analytical limit in environmental mixture risk assessment: A case-study on pesticide river monitoring.

Autor: Noventa S; Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA), 30015 Chioggia, Italy. Electronic address: seta.noventa@isprambiente.it., Pace E; Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA), via Vitaliano Brancati 48, 00144 Roma, Italy., Esposito D; Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA), via Vitaliano Brancati 48, 00144 Roma, Italy., Libralato G; Department of Biology, University of Naples Federico II, Via Vicinale Cupa Cintia 26, 80126 Napoli, Italy; Department of Marine Biotechnology, Stazione Zoologica Anton Dohrn, Villa Comunale, 80121 Napoli, Italy., Manfra L; Istituto Superiore per la Protezione e la Ricerca Ambientale (ISPRA), via Vitaliano Brancati 48, 00144 Roma, Italy; Department of Marine Biotechnology, Stazione Zoologica Anton Dohrn, Villa Comunale, 80121 Napoli, Italy.
Jazyk: angličtina
Zdroj: The Science of the total environment [Sci Total Environ] 2024 Jan 10; Vol. 907, pp. 167670. Date of Electronic Publication: 2023 Oct 16.
DOI: 10.1016/j.scitotenv.2023.167670
Abstrakt: Aquatic organisms are exposed to ever-changing complex mixtures of chemicals throughout their lifetime. Component-Based Mixture Risk Assessment (CBMRA) is a well-established methodology for water contaminant-mixture management, the use of which is growing due to improved access to reference ecotoxicity data and extensive monitoring datasets. It enables the translation of measured exposure concentrations of chemicals into biological effect values, and thus to quantitatively estimate the risk of the whole water sample (i.e., as a mixture). However, many factors can bias the final risk decision by impacting the risk metric components; thus, a careful design of the CBMRA is needed, taking into primary consideration the specific features of the dataset and mixture risk assessment assignments. This study systematically addressed the effects of the most common approaches used for handling the concentrations of chemicals below the limit of detection/quantification (LOD/LOQ) in CBMRA. The main results included: i) an informed CBMRA procedure that enables the tracking of the risk decisions triggered by substances below LOD/LOQ, ii) a conceptual map and guidance criteria to support the selection of the most suitable approach for specific scenarios and related interpretation; iii) a guided implementation of the informed CBMRA on dataset of pesticide concentrations in Italian rivers in 2020 (702,097 records).
Competing Interests: Declaration of competing interest The authors declare that they have no competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2023 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE
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