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Deriving Antibiotic Thresholds Under a One Health Framework: Integrating Bioaccumulation and Human Exposure in the Yangtze River Estuary Food Web

  • School of Global Health
  • Shanghai Jiao Tong University
  • Key Laboratory of Geographic Information Science of the Ministry of Education
  • East China Normal University
  • School of Public Health
  • Huazhong University of Science and Technology
  • Institute of Environment and Ecology
  • Tsinghua University
  • School of Public Health

Research output: Contribution to journal › Article › peer-review

Abstract

Antibiotics are widely detected in aquatic environments, yet current environmental thresholds rarely integrate ecological and human health risks under a One Health framework. Here, we developed a bioaccumulation- and human exposure-based approach to derive health-protective environmental thresholds for antibiotics in the Yangtze River Estuary (YRE). Total antibiotic concentrations averaged 6.64 ± 5.91 ng/L in water, 9.65 ± 7.55 ng/g in sediment, and 56.4 ± 80.9 ng/g in aquatic organisms, with significant cross-compartmental variability and distinct compositional patterns among environmental matrices. Chloramphenicol (CAP) exhibited the strongest bioaccumulation potential (BCF up to 20,190 L/g) and was the only compound showing trophic magnification (TMF = 2.97), whereas most other antibiotics displayed trophic dilution. Derived thresholds ranged from 2.04 × 10–5–434 ng/L for water and 3.01 × 10–4–17.0 ng/g for sediment, several orders of magnitude lower than thresholds derived using traditional ecotoxicity-based approaches in previous studies. CAP, norfloxacin, and ofloxacin were identified as priority risk compounds, demonstrating that even moderate environmental concentrations can bioaccumulate through aquatic food webs and pose notable dietary exposure risks to consumers. This framework provides a more protective basis for antibiotic pollution management and environmental standard development under a One Health perspective.

Original languageEnglish
Pages (from-to)23862-23876
Number of pages15
JournalEnvironmental Science and Technology
Volume60
Issue number34
DOIs
StatePublished - 1 Sep 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • food web structure
  • marine environment
  • risk threshold divergence
  • species sensitivity distribution (SSD)

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