Adsorptive removal of Cr(VI) and Cu(II) ions from aqueous solutions by a natural moss

IF 2.1 4区 环境科学与生态学 Q2 ENGINEERING, CIVIL
Sengul Tugba Ozeken, Duygu Ozdes, Celal Duran
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引用次数: 0

Abstract

Abstract The aim of the present research is to develop a new, fast, and easily applicable adsorption method for the removal of hazardous Cr(VI) and Cu(II) ions from the polluted industrial wastewater by using Racomitrium ericoides (Brid.) Brid. (REB), a type of moss. Although there are studies in the literature in which different moss species were used for the removal of heavy metals (HMs), REB was used for the first time in this study. Adsorption experiments were carried out through a batch system. The impact of significant experimental parameters showed that the optimum values of initial pH were 2.0 for Cr(VI) retention and 5.0 for Cu(II), and 360 min was selected as the optimum contact time for both HMs. An artificial neural network (ANN) model was applied to create a predictive model for the uptake efficiency of HMs. Adsorption kinetics of Cr(VI) and Cu(II) ions followed the pseudo-second order model. The maximum adsorption capacities of REB identified through the Langmuir model were 41.2 mg g−1 for Cr(VI) and 22.7 mg g−1 for Cu(II) ions. The results of the study demonstrated that REB can be utilized as an abundant, low-cost, and effective adsorbent in removal of HMs from aqueous solutions.
天然苔藓吸附去除水溶液中的铬(VI)和铜(II)离子
摘要:本研究旨在开发一种新的、快速的、易于应用的吸附方法,用于去除工业废水中有害的Cr(VI)和Cu(II)离子。Brid。(REB),一种苔藓虽然文献中也有利用不同苔藓物种去除重金属的研究,但本研究是首次使用REB。通过间歇式吸附系统进行了吸附实验。实验参数的影响表明,Cr(VI)和Cu(II)的最佳初始pH分别为2.0和5.0,两种HMs的最佳接触时间均为360 min。应用人工神经网络(ANN)模型,建立了中药吸收效率的预测模型。Cr(VI)和Cu(II)离子的吸附动力学符合准二级模型。通过Langmuir模型确定REB对Cr(VI)和Cu(II)离子的最大吸附量分别为41.2 mg g−1和22.7 mg g−1。研究结果表明,REB可以作为一种丰富、低成本、有效的吸附剂用于去除水溶液中的HMs。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
4.10
自引率
21.10%
发文量
0
审稿时长
20 weeks
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