Assessing sediment hazard through a weight of evidence approach with bioindicator organisms: a practical model to elaborate data from sediment chemistry, bioavailability, biomarkers and ecotoxicological bioassays.
Assessing sediment hazard through a weight of evidence approach with bioindicator organisms: a practical model to elaborate data from sediment chemistry, bioavailability, biomarkers and ecotoxicological bioassays.
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DOI：
10.1016/j.chemosphere.2010.12.064
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发表时间：
2011-04
期刊：
影响因子：
8.8
通讯作者：
F. Piva;Francesco Ciaprini;F. Onorati;M. Benedetti;D. Fattorini;A. Ausili;F. Regoli
中科院分区：
文献类型：
--
作者：
F. Piva;Francesco Ciaprini;F. Onorati;M. Benedetti;D. Fattorini;A. Ausili;F. Regoli
质量评估对所有与清除和管理沉积物有关的活动至关重要。根据多学科、证据权重的方法，提出了一个新的模型，用于综合评价与污染沉积物相关的危害。考虑的证据包括沉淀物化学、生物利用度评估、对生物标志物的亚致死效应和生态毒理学生物测定。根据若干化学和生物参数、规范性准则或科学证据，开发了一个概念性和软件辅助的模型，并用逻辑流程图详细阐述了每一条证据的结果；因此，这些数据被总结为四个具体的综合指数，然后将其纳入全面的沉积物危害评估。该模型以欧洲鳗(安圭拉鳗鱼)为生物指示物种，在实验室条件下暴露于工业现场的沉积物中，并在两个港区的野外条件下被笼养，从而验证了该模型。与港口沉积物相比，工业沉积物中脂肪烃、多环芳烃和痕量金属的浓度要高得多，因此暴露在鳗鱼肝脏和鳃中的生物积累在不同的条件下表现出明显的差异。在生物标志物中，观察到细胞色素P450相关反应、氧化应激生物标志物、溶酶体稳定性和遗传毒性效应的显著差异；与细菌、藻类和桡足类标准生态毒理学生物测定数据一样，这些数据的总体阐述证实了工业沉积物的生物危害水平较高。根据与专家判断的比较，该模型有效地区分了各种条件，无论是作为单独的模块还是作为综合的最终评估，它似乎是支持更复杂的环境风险评估过程的强大工具。
Quality assessments are crucial to all activities related to removal and management of sediments. Following a multidisciplinary, weight of evidence approach, a new model is presented here for comprehensive assessment of hazards associated to polluted sediments. The lines of evidence considered were sediment chemistry, assessment of bioavailability, sub-lethal effects on biomarkers, and ecotoxicological bioassays. A conceptual and software-assisted model was developed with logical flow-charts elaborating results from each line of evidence on the basis of several chemical and biological parameters, normative guidelines or scientific evidence; the data are thus summarized into four specific synthetic indices, before their integration into an overall sediment hazard evaluation. This model was validated using European eels (Anguilla anguilla) as the bioindicator species, exposed under laboratory conditions to sediments from an industrial site, and caged under field conditions in two harbour areas. The concentrations of aliphatic hydrocarbons, polycyclic aromatic hydrocarbons and trace metals were much higher in the industrial compared to harbour sediments, and accordingly the bioaccumulation in liver and gills of exposed eels showed marked differences between conditions seen. Among biomarkers, significant variations were observed for cytochrome P450-related responses, oxidative stress biomarkers, lysosomal stability and genotoxic effects; the overall elaboration of these data, as those of standard ecotoxicological bioassays with bacteria, algae and copepods, confirmed a higher level of biological hazard for industrial sediments. Based on comparisons with expert judgment, the model presented efficiently discriminates between the various conditions, both as individual modules and as an integrated final evaluation, and it appears to be a powerful tool to support more complex processes of environmental risk assessment.