Suppr超能文献

利用基于生化标志物的分类尺度监测突尼斯沿海的污染,研究生物为多毛纲沙蚕属(Hediste) Diversicolor。

Monitoring pollution in Tunisian coasts using a scale of classification based on biochemical markers in worms Nereis (Hediste) diversicolor.

机构信息

Laboratoiry of Biochemistry and Ecotoxicology, Higher Institute of Agronomy, 4042, Chott-Mariem, Sousse, Tunisia.

出版信息

Environ Monit Assess. 2010 May;164(1-4):691-700. doi: 10.1007/s10661-009-0921-x. Epub 2009 Apr 29.

Abstract

This paper aims to assess the marine environment quality along the Tunisian coasts using a statistical approach based on biomarkers response in the polychaete worms Nereis (Hediste) diversicolor. Worms were collected from six sites: Bizerta Lagoon, Gargour, Nakta, Mahres, Skhira and from Teboulba considered as a reference site. The biomarkers selected in this work were (1) the activities of cytochrome P450-dependent NADPH cytochrome c reductase (NADPH red) as phase I enzyme, (2) glutathione S-transferase as phase II enzyme and (3) the acetylcholinesterase activity as neurotoxicity marker. Oxidative stress was evaluated using catalase activity and malondialdehyde accumulation. For each biomarker, a discriminatory factor was calculated and a response index was allocated. For each site, a multi-marker pollution index was calculated as the sum of the response index of each of the five more discriminating biomarkers. The results show differences between sites compared with the reference samples. The multi-marker approach confirms that worms from Bizerta and Mahress have been submitted to highly polluted environment. Mahress shows the highest multi-marker pollution index, indicating a highly contamination status.

摘要

本文旨在采用基于多毛环节蠕虫 Nereis(Hediste)diversicolor 生物标志物反应的统计方法来评估突尼斯沿海的海洋环境质量。从 Bizerta 泻湖、Gargour、Nakta、Mahres、Skhira 以及作为参照点的 Teboulba 等六个地点采集了这些蠕虫。在这项工作中选择的生物标志物有:(1)细胞色素 P450 依赖性 NADPH 细胞色素 c 还原酶(NADPH red)作为 I 相酶的活性,(2)谷胱甘肽 S-转移酶作为 II 相酶,以及(3)乙酰胆碱酯酶活性作为神经毒性标志物。通过测定过氧化氢酶活性和丙二醛积累来评估氧化应激。对于每种生物标志物,都计算了一个判别因子,并分配了一个反应指数。对于每个地点,通过将五种更具判别力的生物标志物中的每一种的反应指数相加来计算多标志物污染指数。结果表明,与参照样本相比,各地点之间存在差异。多标志物方法证实,Bizerta 和 Mahres 的蠕虫受到了高度污染的环境影响。Mahres 显示出最高的多标志物污染指数,表明其污染程度很高。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验