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Open System Analysis of Bioextracted Iron during Leaching of Iron Oxide Ore using Acidithiobacillus Ferrooxidans

机译:酸性硫代氧化亚铁氧化铁浸出氧化铁矿过程中生物提取铁的开放系统分析

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This paper presents an open systemic analysis of bioextracted iron during leaching of iron oxide ore using acidithiobacillus ferrooxidans. The analysis showed prediction of the concentration of bioextracted iron at varying initial bioleaching solution pH and as-beneficiated Fe content of the ore. An empirical model was derived, validated and used as a tool for the analysis. The validity of the polynomial model expressed as; ζ = 0.0077v~3 - 0.1618v~2 + 0.9345v + 0.0002s + 0.0931 was found to be rooted on the core expression ζ - 0.0002s - 0.0931 = 0.0077v~3 - 0.1618v~2 + 0.9345v where both sides of the expression are correspondingly approximately equal. Statistical analysis of the extracted iron concentration as obtained from experiment and derived model for each value of the initial bioleaching solution pH used shows standard errors of 0.3917 and 0.3780 respectively. Extracted iron concentrations per unit initial bioleaching solution pH as obtained from experiment and derived model are 0.0917 and 0.0784% Deviational analysis indicates that the maximum deviation of the model-predicted iron extraction (from experimental results) was less than 11%, implying a confidence level above 89%.
机译:本文介绍了使用酸性铁硫杆菌氧化铁浸出氧化铁矿石期间对生物提取铁的开放系统分析。分析表明,在不同的初始生物浸出溶液pH值和原矿中的铁含量变化的情况下,可以预测生物提取铁的浓度。得出了经验模型,对其进行了验证并用作分析的工具。多项式模型的有效性表示为: ζ= 0.0077v〜3-0.1618v〜2 + 0.9345v + 0.0002s + 0.0931根植于核心表达式ζ-0.0002s-0.0931 = 0.0077v〜3-0.1618v〜2 + 0.9345v表达式的相应地近似相等。从实验和衍生模型获得的提取的铁浓度的统计分析,分别针对所使用的初始生物浸提溶液pH的每个值,分别显示了0.3917和0.3780的标准误差。从实验和衍生模型获得的每单位初始生物浸提溶液pH的提取铁浓度分别为0.0917和0.0784%偏差分析表明,模型预测的铁提取物(根据实验结果)的最大偏差小于11%,这表明置信水平高于89%。

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