0
Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Detection Methods Environmental Sources Human Health Effects Policy & Risk Remediation Sign in to save

Integrating species sensitivity distributions and toxicity thresholds: A probabilistic risk assessment of microplastics in Yazhou Bay, South China Sea

Emerging contaminants 2025 Score: 48 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Lang Lin, Xiang‐Rong Xu Lang Lin, Xiang‐Rong Xu Julie B. Wang, Julie B. Wang, Lang Lin, Xiang‐Rong Xu Lang Lin, Lang Lin, Hengxiang Li, Rui Hou, Tingting Xu, Xiang‐Rong Xu Xiang‐Rong Xu Lang Lin, Hengxiang Li, Hengxiang Li, Lang Lin, Hengxiang Li, Hengxiang Li, Lang Lin, Lang Lin, Lang Lin, Lang Lin, Rui Hou, Hengxiang Li, Xiang‐Rong Xu Xiang‐Rong Xu Xiang‐Rong Xu Lang Lin, Lang Lin, Lang Lin, Xuedong Zhou, Lang Lin, Qian-Yi Huang, Qian-Yi Huang, Hengxiang Li, Lang Lin, Hengxiang Li, Lang Lin, Xiang‐Rong Xu Lang Lin, Lang Lin, Hengxiang Li, Hengxiang Li, Lang Lin, Hengxiang Li, Hengxiang Li, Lang Lin, Lang Lin, Lang Lin, Hengxiang Li, Hengxiang Li, Hengxiang Li, Lang Lin, Lang Lin, Lang Lin, Lang Lin, Lang Lin, Lang Lin, Lang Lin, Lang Lin, Lang Lin, Lang Lin, Lang Lin, Hengxiang Li, Hengxiang Li, Hengxiang Li, Hengxiang Li, Xiang‐Rong Xu Xiang‐Rong Xu Xiang‐Rong Xu Shan Liu, Lang Lin, Lang Lin, Lang Lin, Lang Lin, Lang Lin, Lang Lin, Lang Lin, Lang Lin, Lang Lin, Hengxiang Li, Hengxiang Li, Lang Lin, Xuedong Zhou, Lang Lin, Lang Lin, Xiang‐Rong Xu Xiang‐Rong Xu Xiang‐Rong Xu Xiang‐Rong Xu Hengxiang Li, Rui Hou, Xiang‐Rong Xu Xiang‐Rong Xu Xiang‐Rong Xu Rui Hou, Lang Lin, Lang Lin, Xiang‐Rong Xu Rui Hou, Lang Lin, Lang Lin, Rui Hou, Rui Hou, Lang Lin, Hengxiang Li, Hengxiang Li, Xiang‐Rong Xu Rui Hou, Xiang‐Rong Xu Rui Hou, Lang Lin, Hengxiang Li, Lang Lin, Xiang‐Rong Xu Xiang‐Rong Xu Hengxiang Li, Hengxiang Li, Hengxiang Li, Shan Liu, Shan Liu, Rui Hou, Hengxiang Li, Lang Lin, Rui Hou, Xiang‐Rong Xu Xiang‐Rong Xu Rui Hou, Xiang‐Rong Xu Xiang‐Rong Xu Xiang‐Rong Xu Rui Hou, Xiang‐Rong Xu Xiang‐Rong Xu Hengxiang Li, Xiang‐Rong Xu Xiang‐Rong Xu Xiang‐Rong Xu Xiang‐Rong Xu Xiang‐Rong Xu Xiang‐Rong Xu Shan Liu, Rui Hou, Xiang‐Rong Xu Xiang‐Rong Xu Xiang‐Rong Xu Xiang‐Rong Xu Zhijian Jiang, Xiang‐Rong Xu Xiang‐Rong Xu Xiang‐Rong Xu Xiang‐Rong Xu Xiang‐Rong Xu Xiang‐Rong Xu Xiang‐Rong Xu Lang Lin, Xiang‐Rong Xu Lang Lin, Xiang‐Rong Xu Xiang‐Rong Xu Xiang‐Rong Xu Xiang‐Rong Xu Xiang‐Rong Xu Zhen Yuan, Hengxiang Li, Xiang‐Rong Xu Xiang‐Rong Xu Xiang‐Rong Xu Zhijian Jiang, Hengxiang Li, Xiang‐Rong Xu

Summary

Researchers assessed microplastic abundance and ecological risk in Yazhou Bay, South China Sea, finding surface water concentrations of 3,437 n/m³ with a modeled estimate reaching 241,000 n/m³ when accounting for smaller particle sizes. Species sensitivity distribution analysis identified significant ecological risk to marine organisms at detected concentrations.

Study Type Environmental

This study systematically assessed microplastics (MPs) pollution status and ecological risk in Yazhou Bay, South China Sea. The results revealed that the abundance of MPs in the surface water of Yazhou Bay was 3,436.67 ± 1,581.37 n/m 3 , while the abundance estimated based on a power-law distribution reached as high as 2.41 × 10 5 n/m 3 . Within biota, the abundance of MPs ranged from 0 to 0.40 ± 0.52 n/Ind, predominantly consisting of transparent polyester fibers (1∼2 mm), indicating a relatively low contamination level. Characterization of MPs showed significant differences in particle size, color, and type between those in water and biota, reflecting selectivity in biological ingestion. To evaluate the ecological risk of MPs, species sensitivity distribution (SSD) was constructed using antioxidant enzyme activities as toxicity endpoints, combined with risk quotient (RQ) and joint probability curve (JPC) methods. The results indicated that although RQ values exceeded 1 at some sampling sites, suggesting potential threats, the JPC analysis revealed that the overall ecological risk in Yazhou Bay waters was low, with insignificant oxidative stress impacts on local biota. The innovation of this study lies in being the first to construct an SSD model using a single oxidative stress indicator, integrating literature data with laboratory results. This approach provides more precise toxicity data for MPs ecological risk assessment and explores the potential application of key biomarkers in risk evaluation. This methodology offers a new perspective and reference for future research. Future studies should investigate the sources of fiber pollution, while policymakers could prioritize reducing polyesters in wastewater treatment to mitigate MPs pollution. • SSD was constructed using the same toxicity endpoints for consistency. • SSD results varied across different toxicity endpoints. • MPs abundance in Yazhou Bay was 3,436.67±1,581.37 n/m 3 . • Most MPs were transparent polyester fibers (1∼2 mm). • RQ and JPC results indicated low ecological risk in Yazhou Bay.

Sign in to start a discussion.

Share this paper