Mer Molécules Sante (MMS), Université Catholique de l'Ouest, 3 place André Leroy, BP10808, 49008 Angers Cedex 01, France.
Laboratoire Angevin de Recherche en Ingénierie des Systèmes (LARIS), EA-7315, Université Catholique de l'Ouest, 3 place André Leroy, BP10808, 49008 Angers Cedex 01, France.
Mar Pollut Bull. 2018 Apr;129(1):81-85. doi: 10.1016/j.marpolbul.2018.02.006. Epub 2018 Feb 20.
Identification of contamination in estuarine ecosystems that are impacted by anthropogenic pressures, such as the Seine estuary, is difficult to determine without considering the role environmental variation plays on the end points selected. Currently, there is interest in identifying methods in which the influence of confounding factors can be described and accounted for. In this context, the aim of this study was to define a baseline assessment criteria (BAC) for enzymatic biomarkers in ragworms (Hediste diversicolor) collected in a reference site (Authie). The model took into consideration the weight, temperature and salinity of the site. Values collected in the Seine estuary were analyzed with the model to determine if differences between the sites could potentially be due to contamination or were explained by environmental variation. In general, biomarker responses from the Seine estuary fell within the range of BAC, suggesting that environmental variation could explain some of the results.
在鉴定受到人为压力影响的河口生态系统中的污染时,如果不考虑环境变化对所选终点的影响,很难确定。目前,人们有兴趣确定可以描述和解释混杂因素影响的方法。在这种情况下,本研究的目的是为在参考点(Authie)收集的沙蚕(Hediste diversicolor)中的酶生物标志物定义一个基线评估标准(BAC)。该模型考虑了地点的重量、温度和盐度。利用该模型分析了在塞纳河河口采集的样本,以确定这些地点之间的差异是否可能是由于污染造成的,或者是否可以用环境变化来解释。一般来说,来自塞纳河河口的生物标志物反应都在 BAC 范围内,这表明环境变化可以解释部分结果。