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评估美国新泽西州下帕塞克河沉积物和水生生物中化学污染物之间的潜在关系。

Evaluation of potential relationships between chemical contaminants in sediments and aquatic organisms from the lower Passaic River, New Jersey, USA.

机构信息

ARCADIS, Annapolis, Maryland, USA.

出版信息

Environ Toxicol Chem. 2011 Jul;30(7):1721-8. doi: 10.1002/etc.550. Epub 2011 May 13.

Abstract

The lower Passaic River, New Jersey, USA, a tidal tributary to Newark Bay and part of the New York and New Jersey Harbor Estuary, is contaminated with a variety of persistent organic pollutants (POPs) due to nearly two centuries of heavy industrialization and urbanization. Resident aquatic organisms are exposed to, and can bioaccumulate, a variety of chemical contaminants from sediments, water and other organisms. In the present study, the relationships between selected POPs detected in both surface sediments and aquatic organisms are examined statistically along with the efficacy of using empirical biota-sediment accumulation factors (BSAFs) to describe such relationships. Regression analyses were conducted on synoptic surface sediment POP data (0 to 15 cm in depth) and whole-body tissue POP data for three prominent organisms that reside in the river and which are important components of the food web: mummichog (Fundulus heteroclitus), blue crab (Callinectes sapidus), and white perch (Morone americana). Per the equilibrium partitioning theory on which the BSAF model is based, surface sediment data were normalized to total organic carbon and tissue data were normalized to lipid content for each organism. Normalized surface sediment concentrations were generally poorly correlated with normalized biota tissue concentrations. The BSAF model was not found to be a reliable means to predict concentrations of POPs in select lower Passaic River organisms, using surface sediment chemistry data.

摘要

美国新泽西州下帕塞伊克河是纽瓦克湾的潮汐支流,也是纽约和新泽西港流域的一部分,由于近两个世纪的重工业和城市化,这里受到了各种持久性有机污染物(POPs)的污染。由于受河流沉积物、水和其他生物体中各种化学污染物的影响,水生生物会暴露其中,并在体内积累这些污染物。本研究通过统计分析,检验了在河流表层沉积物和水生生物中检测到的选定持久性有机污染物之间的关系,同时还检验了使用经验生物-沉积物积累因子(BSAF)来描述这种关系的效果。对栖息在该河流中的三种重要生物(即美洲蟾鱼、蓝蟹和美洲白鲈)的表层沉积物和整体组织 POP 数据进行了同步分析,这三种生物是该河流生态系统的重要组成部分,也是食物链的重要组成部分。基于平衡分配理论,BSAF 模型是建立在该理论基础之上的,因此对表层沉积物数据进行了总有机碳归一化处理,对组织数据进行了每个生物体的脂质归一化处理。归一化后的表层沉积物浓度与归一化后的生物组织浓度相关性通常较差。使用表层沉积物化学数据,BSAF 模型并不能可靠地预测选定的下帕塞伊克河生物体中 POPs 的浓度。

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