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Probabilistic trophic magnification analysis for assessing the bioaccumulation potential of organophosphate flame retardants in freshwater ecosystems of South Koreaopen access

Authors
Kim, DokyunWon, Eun-JiCho, Ha-EunJo, Hyeong-WookChoi, Ki-YoungKim, Chang-JoonShin, Kyung-Hoon
Issue Date
Sep-2025
Publisher
Academic Press
Keywords
Amino acid stable isotope; Monte Carlo simulation; Organophosphate flame retardants; Trophic magnification factor; Trophic position
Citation
Ecotoxicology and Environmental Safety, v.302, pp 1 - 9
Pages
9
Indexed
SCIE
SCOPUS
Journal Title
Ecotoxicology and Environmental Safety
Volume
302
Start Page
1
End Page
9
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/126136
DOI
10.1016/j.ecoenv.2025.118657
ISSN
0147-6513
1090-2414
Abstract
Despite considerable efforts in recent years to quantify the trophic magnification factor (TMF) of organophosphate flame retardants (OPFRs), definitive conclusions regarding their biomagnification potential have not yet been reached. This study hypothesizes that sampling uncertainty may affect TMF calculations. To overcome the limitations of traditional regression-based methods (TMFR), we applied a Monte Carlo simulation-based probabilistic method (TMFM), which provides more reliable estimates of OPFR bioaccumulation in freshwater ecosystems. The concentrations of tributyl phosphate (TNBP), tris(2-chloroethyl) phosphate (TCEP), and tris(2-chloroisopropyl) phosphate (TCIPP) were analyzed in relation to the amino acid stable isotope-based trophic position in fish from four major rivers in Korea. The TMFM values were 1.2 ± 0.3, 1.4 ± 0.9, and 2.0 ± 1.9 for TNBP, TCEP, and TCIPP, respectively, with TCIPP exhibiting a relatively higher biomagnification potential, consistent with previous findings. In contrast, the TMFR produced extreme values (e.g., 17.8 for TCIPP), whereas TMFM moderated by approximately 50 %, reducing spatial and temporal variability. A meta-analysis of literature data further supported the TMFM estimates, revealing that 80 % of TMFs ranged between 0 and 2, while higher values were observed for top predators and specific ecosystems. These results advance the understanding of OPFR bioaccumulation by improving TMF estimation accuracy and highlight the need for ongoing monitoring and mechanistic studies. The probabilistic approach presented here offers a valuable tool for environmental risk assessment and supports informed chemical management. © 2025 The Authors
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ERICA부총장 한양인재개발원 (ERICA 창의융합교육원)
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