Combining bioavailability assays with modeling to predict PCBs in fish after reme

描述（由申请方提供）：多氯联苯等生物累积性污染物对生态和人类健康的影响主要表现为有毒化合物在高营养级生物（如鱼类）中的累积，这些生物被人类和生态系统中的顶级捕食者所食用。然而，鱼类的变化是缓慢的，因为补救行动的结果，往往要等待几年才能看到这种变化。为了及时评估补救进展情况，一种替代办法是进行适当的测量，以表明鱼类接触的主要途径的变化。虽然最近取得了一些进展，以评估孔隙水浓度使用被动采样技术，更迅速地响应原位补救措施，这种措施的关系，积累是鱼还没有得到证明。此外，在开发和利用归宿和生物摄取模型方面存在重大差距，这些模型可以使用被动采样测量，并将这些测量与摄取途径定量联系起来，并预测鱼类浓度的最终变化。这一拟议的研究项目将改进采样方法，以评估多氯联苯的摄入途径，并与从业人员合作，将这些措施纳入多氯联苯的归宿和生物摄入模型，以评估鱼类浓度随时间的变化，并通过受控的实验室接触研究和实地测量来验证这一方法。该项目的三个主要目标是：具体目标1：发展被动采样的基本基础。这项研究将使用先进的荧光显微镜，红外显微光谱和切片技术，直接测量常用的被动采样器材料（聚乙烯，聚甲醛和PDMS）中的有机分子的扩散。这一努力将导致选择和使用适当的聚合物材料进行被动平衡取样，对暴露期间达到的平衡性质有更大的信心。具体目标2：使用被动采样来测量生物利用度过程和鱼类的吸收情况。本研究的目的是通过受控实验室围隔生态系统研究，评估在实地用活性炭吸附剂修正的沉积物如何影响两种鱼类对多氯联苯的生物吸收，并与根据目标1开发的被动采样装置的吸收进行比较。具体目标3：将被动采样输入纳入多氯联苯归宿和生物累积模型。将开发一个数学模型，并用于解释结果：1）围隔生态系统暴露实验，和2）从一个受多氯联苯影响的河流现场的实地观察，以探索活性炭处理对鱼类多氯联苯积累的影响。特别令人感兴趣的是，提高模型预测的准确性，以减少孔隙水浓度和污染物的生物利用度的活性炭原位处理的好处。 公共卫生相关性：这项研究将通过改进被动采样科学，实验性地建立被动采样测量与鱼类污染物等人类健康风险驱动因素之间的联系，以及开发和测试污染物归宿和生物累积模型，这些模型可以使用被动采样测量进行决策，来推进对超级基金沉积物场地的补救有效性的评估。学术研究人员与领先的专家和现场实践者的合作为该项目提供了独特的实用视角，并将结果自然地转化为最终用户。

DESCRIPTION (provided by applicant): Ecological and human health impacts of bioaccumulative contaminants like PCBs are primarily manifested through accumulation of the toxic compounds in higher trophic level organisms like fish that are consumed by humans and top predators in the ecosystem. However, changes in fish are slow to manifest as a consequence of a remedial action and often one has to wait for several years to see such change. To make timely assessments of remediation progress, one alternative is to perform appropriate measurements that indicate changes in key pathways of exposure to fish. Although some advances have been made recently to assess porewater concentrations using passive sampling techniques which respond more rapidly to in-situ remedies, relationship of such measures to accumulation is fish has not been demonstrated. Also, there is a major gap in the development and utilization of fate and biouptake models that can use passive sampling measurements and quantitatively link those measurements to uptake pathways and predict eventual changes in fish concentrations. This proposed research project will refine sampling methods to assess PCB uptake pathways and work with practitioners to incorporate such measures into PCB fate and biouptake models to assess changes in fish concentration over time, and validate the approach through controlled laboratory exposure studies and measurements in the field. The three primary aims of this project are: Specific aim 1: Develop the fundamental basis of passive sampling. This research will use advanced fluorescence microscopy, IR microspectroscopy, and sectioning techniques to directly measure the diffusion of organic molecules in commonly used passive sampler materials (polyethylene, polyoxymethylene, and PDMS). This effort will lead to the selection and use of appropriate polymeric materials for passive equilibrium sampling with much greater confidence about the nature of equilibrium achieved during the exposure period. Specific aim 2: Use passive sampling to measure bioavailability processes and uptake in fish. This research aim will evaluate how sediments amended with activated carbon sorbents in the field impact PCB biouptake in two types of fish through controlled laboratory mesocosm studies and compare with uptake in passive sampling devices developed under Aim 1. Specific aim 3: Incorporate passive sampling inputs to PCB fate and bioaccumulation model. A mathematical model will be developed and used to interpret results from: 1) the mesocosm exposure experiments, and 2) field observations from a PCB-impacted river site to explore the effect of activated carbon treatments on PCB accumulation in fish. Of particular interest is improving the accuracy of model predictions of the benefits of in-situ treatment with activated carbon aimed at reducing pore water concentrations and contaminant bioavailability. PUBLIC HEALTH RELEVANCE: This research will advance the assessment of remediation effectiveness at Superfund sediment sites through a combination of improving the science of passive sampling, experimentally establishing the link between passive sampling measurement and human health risk drivers such as contaminants in fish, and developing and testing contaminant fate and bioaccumulation models that can use passive sampling measurements for decision making. The teaming of academic researchers with a leading expert and field practitioner affords this project an unique practical perspective and natural translation of the outcome to end users.