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Abstract：
Given the time and monetary costs associated with traditional analytical chemistry, there remains a need to rapidly characterize environmental samples for priority analysis, especially within disaster research response (DR2). As PAHs are both ubiquitous and occur as complex mixtures at many National Priority List sites, these compounds are of interest for post-disaster exposures.
This study tests the field application of the KinExA Inline Biosensor in Galveston Bay and the Houston Ship Channel (GB/HSC) and in the Elizabeth River, characterizing the PAH profiles of these region\'s soils and sediments. To our knowledge, this is the first application of the biosensor to include soils.
The biosensor enables calculation of total free PAHs in porewater (C free), which is confirmed through gas chromatography-mass spectrometry (GC-MS) analysis. To determine potential risk of the collected soils the United States Environmental Protection (USEPA) Agency\'s Regional Screening Level (RSL) Calculator is used along with the USEPA Region 4 Ecological Screening Values (R4-ESV) and Refined Screening Values (R4-RSV).
Based on GC-MS results, all samples had PAH-related hazard indices below 1, indicating low noncarcinogenic risks, but some samples exceeded screening levels for PAH-associated cancer risks. Combining biosensor-based C free with Total Organic Carbon yields predictions highly correlated (r > 0.5) both with total PAH concentrations as well as with hazard indices and cancer risks. Additionally, several individual parent PAH concentrations in both the GB/HSC and Elizabeth River sediments exceeded the R4- ESV and R4-RSV values, indicating a need for follow-up sediment studies.
The resulting data support the utility of the biosensor for future DR2 efforts to characterize PAH contamination, enabling preliminary PAH exposure risk screening to aid in prioritization of environmental sample analysis.
This study tests the field application of the KinExA Inline Biosensor in Galveston Bay and the Houston Ship Channel (GB/HSC) and in the Elizabeth River, characterizing the PAH profiles of these region\'s soils and sediments. To our knowledge, this is the first application of the biosensor to include soils.
The biosensor enables calculation of total free PAHs in porewater (C free), which is confirmed through gas chromatography-mass spectrometry (GC-MS) analysis. To determine potential risk of the collected soils the United States Environmental Protection (USEPA) Agency\'s Regional Screening Level (RSL) Calculator is used along with the USEPA Region 4 Ecological Screening Values (R4-ESV) and Refined Screening Values (R4-RSV).
Based on GC-MS results, all samples had PAH-related hazard indices below 1, indicating low noncarcinogenic risks, but some samples exceeded screening levels for PAH-associated cancer risks. Combining biosensor-based C free with Total Organic Carbon yields predictions highly correlated (r > 0.5) both with total PAH concentrations as well as with hazard indices and cancer risks. Additionally, several individual parent PAH concentrations in both the GB/HSC and Elizabeth River sediments exceeded the R4- ESV and R4-RSV values, indicating a need for follow-up sediment studies.
The resulting data support the utility of the biosensor for future DR2 efforts to characterize PAH contamination, enabling preliminary PAH exposure risk screening to aid in prioritization of environmental sample analysis.
摘要：
考虑到与传统分析化学相关的时间和货币成本，仍然需要快速表征环境样本以进行优先分析，特别是在灾害研究响应(DR2)中。由于多环芳烃普遍存在，并且在许多国家优先清单网站上以复杂的混合物形式出现，这些化合物对灾后暴露感兴趣。
这项研究测试了KinExA直列式生物传感器在加尔维斯顿湾和休斯顿船舶通道（GB/HSC）以及伊丽莎白河中的现场应用，表征这些地区土壤和沉积物的PAH剖面。据我们所知,这是生物传感器首次应用于土壤。
生物传感器能够计算孔隙水中的总游离PAHs（无C），这通过气相色谱-质谱(GC-MS)分析得到证实。为了确定收集的土壤的潜在风险，美国环境保护局（USEPA）的区域筛选水平（RSL）计算器与USEPA区域4生态筛选值（R4-ESV）和精细筛选值（R4-RSV）一起使用。
根据GC-MS结果，所有样本的PAH相关危害指数均低于1，表明其非致癌风险较低，但一些样本超过了PAH相关癌症风险的筛查水平.将基于生物传感器的C游离与总有机碳组合产生与总PAH浓度以及危害指数和癌症风险高度相关(r>0.5)的预测。此外,GB/HSC和伊丽莎白河沉积物中的几个单独的母体PAH浓度超过R4-ESV和R4-RSV值，这表明需要进行后续沉积物研究。
所得数据支持生物传感器在未来DR2表征PAH污染方面的实用性，能够进行初步的PAH暴露风险筛查，以帮助确定环境样品分析的优先次序。
这项研究测试了KinExA直列式生物传感器在加尔维斯顿湾和休斯顿船舶通道（GB/HSC）以及伊丽莎白河中的现场应用，
生物传感器能够计算孔隙水中的总游离PAHs（无C），
根据GC-MS结果，
所得数据支持生物传感器在未来DR2表征PAH污染方面的实用性，
