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CHARACTERIZATION OF HEAVY METAL REMOVAL FROM AQUEOUS SOLUTIONS USING NATURAL FIBER IMPREGNATED WITH METALLIC NANOPARTICLES

机译:使用浸有金属纳米粒子的天然纤维表征水溶液中的重金属

摘要

Heavy metals are found in varying concentrations in anthropogenically influenced water sources including waste water discharge from mining operations. The heavy metals need to be removed to meet applicable discharge standards and to eliminate potential health effects. There has been substantial research recently in the field of water treatment technologies to produce low-cost materials that have metal-binding capabilities. The goal of this research is to characterize the toxic metal removal capabilities of a novel, low cost water treatment system.This research uses a natural fiber substrate and incorporates specific nanometallic particles to remove toxic heavy metals from water. Natural fiber (NF) and metallic nanoparticle treated fiber (MNP) were subjected to various concentrations of copper, cadmium, nickel, and zinc. The research included kinetic experiments, adsorption isotherm experiments, and flow through column tests.The results indicated that the fibers performed consistently well in removing copper with all metal removal efficiencies between 41%-58% for NF and 56%-77% for MNP in a mixed metal solution where the metals were each present at 1 mg/L. NF and MNP were both found to follow a pseudo first order kinetic adsorption model and had processes that followed Langmuir and Freundlich isotherms. MNP was able to reduce initial metals concentrations of 1 mg/L by 50% in 10-30 minutes whereas NF took 20-50 minutes. Metal adsorption is mass transfer limited and concentration gradients appear to be the driving force behind the adsorption rate.Flow through column tests using synthetic mixtures of the four metals of concern, showed consistently high reduction in copper ranging from 78%-90%. Zinc consistently had the lowest removal efficiency and ranged between 24%-62%. A fortified mine tailing water solution with metals was also tested and removal efficiencies reached as high as 87%. MNP performed better overall in experimentation than NF. The fiber filter system is proven to be effective for treating heavy metal contamination from industrial waste streams.
机译:在人为影响的水源(包括采矿作业的废水排放)中发现了不同浓度的重金属。需要去除重金属以满足适用的排放标准并消除潜在的健康影响。最近在水处理技术领域进行了大量研究,以生产具有金属结合能力的低成本材料。这项研究的目的是表征一种新型,低成本水处理系统的有毒金属去除能力。该研究使用天然纤维基质并结合特定的纳米金属颗粒以去除水中的有毒重金属。天然纤维(NF)和金属纳米颗粒处理的纤维(MNP)经受了各种浓度的铜,镉,镍和锌的处理。该研究包括动力学实验,吸附等温线实验和通过柱测试的结果。结果表明,纤维在去除铜上性能始终如一,对NF的所有金属去除效率在41%-58%和MNP的56%-77%之间。一种混合金属溶液,其中每种金属的含量为1 mg / L。 NF和MNP都遵循伪一级动力学吸附模型,并且具有遵循Langmuir和Freundlich等温线的过程。 MNP能够在10-30分钟内将1 mg / L的初始金属浓度降低50%,而NF则需要20-50分钟。金属的吸附受到传质的限制,浓度梯度似乎是吸附速率的驱动力。使用四种所关注金属的合成混合物进行的柱试验表明,铜的还原率始终很高,范围从78%-90%。锌的去除效率始终最低,介于24%-62%之间。还测试了带有金属的强化矿山尾矿水溶液,去除效率高达87%。在实验中,MNP的整体表现优于NF。事实证明,纤维过滤器系统可有效处理工业废水中的重金属污染。

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    Hutchenson Samantha;

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  • 年度 2016
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