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Potential of Sargassum wightii biomass for copper(II) removal from aqueous solutions: Application of different mathematical models to batch and continuous biosorption data

机译:从水中去除铜(II)的Sargassum wightii生物量的潜力:不同数学模型在批量和连续生物吸附数据中的应用

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摘要

This paper reports biosorption of copper(II) ions onto Sargassum wightii biomass in batch and continuous mode of operation. Batch experiments were fundamentally aimed to determine the favorable pH for copper(II) biosorption. Langmuir model was used to describe the copper(II) biosorption isotherm and maximum uptake of 115 mg/g was obtained at pH 4.5. Continuous experiments in a packed column (2 cm i.d. and 35 cm height) were performed to study the influence of bed height, flow rate and inlet solute concentration on copper(II) biosorption. The highest bed height (25 cm), lowest flow rate (5 ml/min) and highest inlet Cu(II) concentration (100 mg/l) resulted in highest copper(II) uptake of 52.6 mg/g, compared to other conditions examined. Column data obtained at different conditions were described using the Thomas, Yoon-Nelson and modified dose-response models. All three models were able to predict breakthrough curves; in particular, the breakthrough curve prediction by the Thomas and Yoon-Nelson models were found to be very satisfactory. Also, the well-established design model, the Bed depth-service time (BDST) model was used to analyze the experimental data. The BDST model plot at 5 ml/min (flow rate) and 100 mg/l (inlet solute concentration) was used to predict bed depth-service time data at different conditions. The BDST model predicted values always coincide with experimental values with high correlation coefficients.
机译:本文以分批和连续的方式报道了铜离子对白线藻生物的生物吸附。批处理实验的根本目的是确定铜(II)生物吸附的适宜pH值。用Langmuir模型描述铜(II)的生物吸附等温线,在pH 4.5时最大吸收量为115 mg / g。在填充柱(内径2厘米,高35厘米)中进行了连续实验,以研究床高,流速和入口溶质浓度对铜(II)生物吸附的影响。与其他条件相比,最高床高(25 cm),最低流速(5 ml / min)和最高进口Cu(II)浓度(100 mg / l)导致最高吸收铜(II)52.6 mg / g检查。使用Thomas,Yoon-Nelson和修改后的剂量反应模型描述了在不同条件下获得的色谱柱数据。这三个模型都能够预测突破曲线。特别是,通过Thomas和Yoon-Nelson模型预测的突破曲线非常令人满意。此外,使用完善的设计模型,床深服务时间(BDST)模型来分析实验数据。在5 ml / min(流速)和100 mg / l(入口溶质浓度)下的BDST模型图用于预测不同条件下的床层深度服务时间数据。 BDST模型的预测值始终与具有高相关系数的实验值一致。

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