PDF(Pubmed)
Abstract：
Conventional PAH analytical methods are time-consuming and expensive, limiting their utility in time sensitive events (i.e. oil spills and floods) or for widespread environmental monitoring. Unreliable and inefficient screening methods intended to prioritize samples for more extensive analyses exacerbate the issue. Antibody-based biosensor technology was implemented as a quantitative screening method to measure total PAH concentration in adult oysters (Crassostrea virginica) - a well-known bioindicator species with ecological and commercial significance. Individual oysters were analyzed throughout the historically polluted Elizabeth River watershed (Virginia, USA). Significant positive association was observed between biosensor and GC-MS measurements that persisted when the method was calibrated for different regulatory subsets of PAHs. Mapping of PAH concentrations in oysters throughout the watershed demonstrates the utility of this technology for environmental monitoring. Through a novel extension of equilibrium partitioning, biosensor technology shows promise as a cost-effective analysis to rapidly predict whole animal exposure to better assess human health risk as well as improve monitoring efforts.
摘要：
传统的PAH分析方法耗时且昂贵，限制其在时间敏感事件（即漏油和洪水）或广泛的环境监测中的效用。不可靠和低效的筛选方法旨在对样品进行更广泛的分析，这加剧了这一问题。基于抗体的生物传感器技术被实施为定量筛选方法，以测量成年牡蛎（Crassostreavirginica）中的总PAH浓度，这是一种具有生态和商业意义的著名生物指示物种。在整个历史上受到污染的伊丽莎白河流域（弗吉尼亚州，美国）。在生物传感器和GC-MS测量之间观察到显着的正相关，当该方法针对PAHs的不同调节子集进行校准时，这种相关性仍然存在。整个流域牡蛎中PAH浓度的映射表明了该技术在环境监测中的实用性。通过平衡分配的新扩展，生物传感器技术有望作为一种具有成本效益的分析，快速预测整个动物暴露，以更好地评估人类健康风险，并改善监测工作。
