6ppd -醌的综合暴露途径:一个整合暴露和人类健康的源到靶点连续体

IF 9 Q1 ENVIRONMENTAL SCIENCES
Edmond Sanganyado
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引用次数: 0

摘要

N-(1,3-二甲基丁基)-N ' -苯基-对苯二胺醌(6PPD- q)是轮胎添加剂6PPD的转化产物,已越来越多地在环境隔间中检测到,但其累积风险仍未得到充分表征。本研究建立了一个聚集暴露途径(AEP)框架,以评估6PPD-Q从环境来源到人类神经元线粒体的运输机制,重点研究了珠江三角洲。证据权重评估确定了空气、道路粉尘、地表径流、地表水和生物群的关键暴露状态(KES),突出了质量通量估算、分配系数和吸收率方面的关键数据缺口。该研究发现6PPD-Q在大气沉降、污泥-土壤分配、地下水淋滤、口腔和呼吸生物可及性和生物利用度以及血脑脊液通透性方面存在显著的数据缺口。证据权重评估显示,在60%的关键过渡关系中,特别是在中间媒体、外部暴露和内部暴露方面,在经验支持和定量理解方面存在重大差距。研究结果强调,需要结合质量通量和相转移动力学的定量模型来改进暴露预测。未来的研究应着重于通过实验确定6PPD-Q在环境和生物系统中的分配系数、吸收和积累速率以及通量,以加强AEP的定量建模。通过系统地整合机械暴露数据,AEPs为改进累积风险评估和指导有针对性的缓解战略提供了结构化方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Aggregate exposure pathways for 6PPD-quinone: A source-to-target site continuum integrating exposure and human health

Aggregate exposure pathways for 6PPD-quinone: A source-to-target site continuum integrating exposure and human health
N-(1,3-Dimethylbutyl)-N′-phenyl-p-phenylenediamine quinone (6PPD-Q), a transformation product of the tire additive 6PPD, has been increasingly detected in environmental compartments, yet its cumulative risk remains poorly characterized. This study developed an Aggregate Exposure Pathway (AEP) framework to assess the mechanistic transport of 6PPD-Q from environmental sources to neuronal mitochondria in humans, focusing on the Pearl River Delta. A Weight of Evidence assessment identified key exposure states (KES) across air, road dust, surface runoff, surface water, and biota, highlighting critical data gaps in mass flux estimates, partitioning coefficients, and uptake rates. The study identified significant data gaps in atmospheric deposition, sludge-soil partitioning, groundwater leaching, oral and respiratory bioaccessibility and bioavailabity, and blood-cerebrospinal fluid permeability of 6PPD-Q. A Weight of Evidence assessment revealed significant gaps in the empirical support and quantitative understanding in 60 % of the key transitional relationships, particularly in intermediate media, external exposure and internal exposure. The findings emphasize the need for quantitative models incorporating mass fluxes and phase transfer dynamics to refine exposure predictions. Future research should focus on experimentally determining partitioning coefficients, uptake and accumulation rates, and the flux of 6PPD-Q in environmental and biological systems to enhance quantitative AEP modeling. By systematically integrating mechanistic exposure data, AEPs provide a structured approach for improving cumulative risk assessment and guiding targeted mitigation strategies.
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CiteScore
15.40
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