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一种基于新型抗体的生物传感器方法,用于快速测定牡蛎中的多环芳烃污染。

A novel antibody-based biosensor method for the rapid measurement of PAH contamination in oysters.

作者信息

Prossner Kristen M, Vadas George G, Harvey Ellen, Unger Michael A

机构信息

Virginia Institute of Marine Science, William & Mary, P.O. Box 1346, Gloucester Point, VA 23062, USA.

出版信息

Environ Technol Innov. 2022 Nov;28. doi: 10.1016/j.eti.2022.102567. Epub 2022 Apr 21.

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 () - 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

传统的多环芳烃(PAH)分析方法既耗时又昂贵,限制了它们在对时间敏感的事件(如石油泄漏和洪水)中或广泛环境监测中的应用。旨在对样本进行优先级排序以便进行更广泛分析的不可靠且低效的筛选方法加剧了这一问题。基于抗体的生物传感器技术被用作一种定量筛选方法,以测量成年牡蛎中的总PAH浓度(成年牡蛎是一种具有生态和商业意义的著名生物指示物种)。在美国弗吉尼亚州历史上受污染的伊丽莎白河流域对单个牡蛎进行了分析。当该方法针对不同的PAH监管子集进行校准时,生物传感器与气相色谱 - 质谱(GC - MS)测量之间观察到显著的正相关。整个流域牡蛎中PAH浓度的测绘证明了该技术在环境监测中的实用性。通过对平衡分配的一种新颖扩展,生物传感器技术有望成为一种经济高效的分析方法,用于快速预测整个动物的暴露情况,以更好地评估人类健康风险并改进监测工作。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d8b3/9531917/9a820405342f/nihms-1802151-f0001.jpg

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