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利用褐藻昆布生物量还原六价铬的柱实验研究

Column study on Cr(VI)-reduction using the brown seaweed Ecklonia biomass.

作者信息

Park Donghee, Yun Yeoung-Sang, Lee Dae Sung, Lim Seong-Rin, Park Jong Moon

机构信息

Advanced Environmental Biotechnology Research Center, Pohang University of Science and Technology, Pohang 790-784, South Korea.

出版信息

J Hazard Mater. 2006 Oct 11;137(3):1377-84. doi: 10.1016/j.jhazmat.2006.03.044. Epub 2006 May 2.

Abstract

The potential use of the brown seaweed, Ecklonia, biomass as a bioreductant for reducing Cr(VI) was examined in a continuous packed-bed column. The effects of the operating parameters, such as influent Cr(VI) concentration, influent pH, biomass concentration, flow rate and temperature, on the Cr(VI) reduction were investigated. Increases in the influent Cr(VI) concentration and flow rate or a decrease in the biomass concentration inside the column led to a higher breakthrough of the Cr(VI) ions in the effluent. Particularly, the influent pH and temperature most significantly affected on the breakthrough curve of Cr(VI); a decrease in the influent pH or an increase in the temperature enhanced the Cr(VI) reduction in the column. For process application, a non-parametric model using neural network was used to predict the breakthrough curves of the column. Finally, the potential of the column packed with Ecklonia biomass for Cr(VI) detoxification was demonstrated.

摘要

在连续填充床柱中研究了褐藻昆布生物质作为生物还原剂还原六价铬的潜在用途。考察了进水六价铬浓度、进水pH值、生物质浓度、流速和温度等操作参数对六价铬还原的影响。进水六价铬浓度和流速的增加或柱内生物质浓度的降低导致流出物中六价铬离子的穿透率更高。特别是,进水pH值和温度对六价铬的穿透曲线影响最为显著;进水pH值的降低或温度的升高增强了柱内六价铬的还原。对于工艺应用,使用基于神经网络的非参数模型来预测柱的穿透曲线。最后,证明了填充昆布生物质的柱用于六价铬解毒的潜力。

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