Szefer P, Fowler S W, Ikuta K, Osuna F Paez, Ali A A, Kim B-S, Fernandes H M, Belzunce M-J, Guterstam B, Kunzendorf H, Wołowicz M, Hummel H, Deslous-Paoli M
Department of Food Sciences, Medical University of Gdansk, Al. Gen. J. Hallera 107, PL 80-416 Gdansk, Poland.
Environ Pollut. 2006 Jan;139(1):70-8. doi: 10.1016/j.envpol.2005.04.031. Epub 2005 Jul 14.
Existing data on metal concentrations in mussels from subarctic, temperate, subtropical and tropical waters were analyzed using multivariate statistics in order to assess regional variations in metal contamination. Potential errors were reduced by only analyzing data from surveys that employed the same protocols, analytical methodologies and analysts. Factor analysis demonstrated that mussels inhabiting extremely contaminated areas (e.g. from Japanese and Swedish metallurgy sources) could be separated from mussels from other contaminated areas, and that metals such as Cd, Pb, Cu and Zn could be used to identify heavily contaminated samples while Co, Fe, Cr and Ni concentrations were good markers for exposure to inputs from different industrial sources. Furthermore byssus, like soft tissue, selectively and sensitively reflects variations of certain metal concentrations in ambient waters and thus serves as a reliable biomonitor for these contaminants in a variety of coastal and estuarine areas.
利用多元统计分析方法,对来自亚北极、温带、亚热带和热带水域贻贝中的金属浓度现有数据进行了分析,以评估金属污染的区域差异。通过仅分析采用相同方案、分析方法和分析人员的调查数据,减少了潜在误差。因子分析表明,栖息在极度污染区域(如来自日本和瑞典冶金源)的贻贝可与来自其他污染区域的贻贝区分开来,镉、铅、铜和锌等金属可用于识别严重污染的样本,而钴、铁、铬和镍的浓度是暴露于不同工业源输入的良好指标。此外,足丝与软组织一样,能选择性且灵敏地反映环境水中某些金属浓度的变化,因此在各种沿海和河口地区可作为这些污染物的可靠生物监测指标。