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中国南方受污染沉积物中锌、铅、铜和镉的生物积累:本地植物物种和中华稻蝗的作用。

Bioaccumulation of zinc, lead, copper, and cadmium from contaminated sediments by native plant species and Acrida cinerea in South China.

机构信息

College of Environmental Science and Engineering, Hunan University, Changsha, 410082, China,

出版信息

Environ Monit Assess. 2014 Mar;186(3):1735-45. doi: 10.1007/s10661-013-3489-4. Epub 2013 Nov 19.

Abstract

This research was conducted to search and identify spontaneously growing heavy metal-tolerant plant species that are potentially useful for phytoremediation in contaminated sediment. Five sites were selected for collection of plants growing on polluted shore (river bank) sediment of the Xiang River, China. The concentrations of Zn, Pb, Cu and Cd in plants, sediments, and grasshoppers were determined using flame atomic absorption spectrophotometer (AAS700, Perkin-Elmer, USA). Considering translocation factor and bioaccumulation factor, Rumex crispus (Polygonaceae), Rumex dentatus (Polygonaceae), and Lagopsis supina (Labiatae) could be potentially useful for phytostabilization of metals. R. crispus can be considered potentially useful for phytoextraction of Cd. In light of the biomagnification factors, grasshoppers are deconcentrators for Pb and Cd, microconcentrators for Zn and macroconcentrators for Cu to the plants, respectively. To the best of our knowledge, the present study is the first report on Zn, Pb, Cu and Cd accumulation in R. crispus and L. supina, providing a pioneer contribution to the very small volume of data available on the potential use of native plant species from contaminated sediments in phytostabilization and phytoremediation technologies.

摘要

本研究旨在寻找和鉴定具有潜在应用价值的、能耐受重金属的自然生长植物物种,用于受污染沉积物的植物修复。选择了中国湘江受污染河岸(滨江)沉积物上生长的五个地点进行植物采集。采用火焰原子吸收分光光度计(AAS700,Perkin-Elmer,美国)测定植物、沉积物和蝗虫体内的 Zn、Pb、Cu 和 Cd 浓度。考虑到迁移因子和生物积累因子,酸模(蓼科)、齿果酸模(蓼科)和野豌豆(豆科)可能对重金属的植物稳定化具有潜在的应用价值。酸模可被视为 Cd 的植物提取的潜在有用方法。根据生物放大因子,蝗虫对 Pb 和 Cd 的浓缩作用为去浓缩,对 Zn 的浓缩作用为微浓缩,对 Cu 的浓缩作用为宏浓缩,分别对植物浓缩。据我们所知,本研究首次报道了酸模和野豌豆中 Zn、Pb、Cu 和 Cd 的积累情况,为利用受污染沉积物中的本地植物物种进行植物稳定化和植物修复技术提供了非常少量数据的开创性贡献。

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