Chemical Characterization and Leaching Kinetics of Metals From Iron Ores

A. Itodo, I. Eneji, B O B O Mnenga Mnenga, M A M A Tseen Tseen
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引用次数: 2

Abstract

The impact of mineral deposit on their host agricultural soil, available water bodies and near atmospheric environment is of great concern. In this study, mineralogical characterization and leaching kinetics of metals from iron ores in Kogi States, were reported. Physicochemical parameters namely; electrical density, pH, bulk density and moisture content were also investigated. The SEM image of the iron ore appear compact with irregular shape. XRF analysis showed that, iron ore consist of 63.44 % Fe as major element, with the oxide composition of 90.71%. The XRD analysis of iron ore unveiled the presence of magnetite (88 %), hematite (9 %) and quartz (3 %) as associated mineral. Low concentration of iron (0.77-1.70 ppm) was observed to be leached from iron ore in the acidic medium, 0.35-1.10 ppm from basic medium and 0.32-0.88 ppm in the aqueous medium, The Shrinking core, Product-layer diffusion and leaching, controlled by diffusion were the three equations used to model the leaching parameters. The leaching experimental data of iron ore fit best into the diffusion- controlled model, with R2 = 0.94 for the acidic medium Hence, the rate determining step. The analysis shows good fit for the other kinetic models. Overall, result proved that, the environment around mining sites is chiefly contaminated by the metals leached from the ore (mineral) deposits. Hence, the need to monitor the pollution indices, the role of leaching, pollutant fate (transport and reaction) and the subsequent distribution of metals to neighboring environment.
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铁矿石中金属的化学表征及浸出动力学
矿床对其宿主土壤、有效水体和近大气环境的影响引起了广泛关注。在这项研究中,矿物学表征和浸出动力学的金属从铁矿石在科吉州,报告。理化参数即;测定了电密度、pH、容重和含水量。矿石的SEM图像呈致密状,形状不规则。XRF分析表明,该矿石铁为主元素含量为63.44%,氧化物含量为90.71%。对铁矿石进行XRD分析,发现伴生矿物为磁铁矿(88%)、赤铁矿(9%)和石英(3%)。在酸性介质、碱性介质和含水介质中分别可浸出低浓度的铁(0.77 ~ 1.70 ppm)、0.35 ~ 1.10 ppm和0.32 ~ 0.88 ppm,采用缩心、产品层扩散和扩散控制下的浸出三个方程来模拟浸出参数。铁矿浸出实验数据最符合扩散控制模型,对于酸性介质R2 = 0.94,因此确定速率步骤。分析结果与其他动力学模型吻合较好。综上所述,矿区周边环境主要受到矿(矿)层浸出金属的污染。因此,需要监测污染指数、淋滤作用、污染物命运(迁移和反应)以及随后金属向邻近环境的分布。
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