Simultaneous adsorption of heavy metals from aqueous matrices by nanocomposites: A first systematic review of the evidence

IF 1.3 Q4 ENVIRONMENTAL SCIENCES Environmental Health Engineering and Management Journal Pub Date : 2021-12-22 DOI:10.34172/ehem.2022.02
S. A. Mirzaee, Neemat Jaafarzadeh, S. Martinez, Z. Noorimotlagh
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引用次数: 2

Abstract

Background: Nanocomposites have received remarkable attention as effective adsorbents for removal of coexisting pollutants over the last decades. The presence of heavy metals (HMs) in wastewater has caused a global health concern. Therefore, the aim of this study was to review the most relevant publications reporting the use of nanostructures to simultaneous adsorption of HMs in mixed aqueous systems. Methods: In this systematic review, 9 studies were included through a systematic search in the three databases (ISI, Scopus, and PubMed) during 1990-2021. The optimal value of simultaneous adsorption parameters such as initial concentration, contact time, adsorbent dosage, and pH was discussed. Results: Findings indicate that the Langmuir and Freundlich models and the pseudo-second-order kinetic model have been widely used and the most popular models to describe the equilibrium of HMs by nanoadsorbents. This study confirmed that the simultaneous removal rate of HMs decreased with an increase in pH value. It was found that the major mechanisms of HMs adsorption onto nanostructures were electrostatic interactions and precipitation. Conclusion: Nanocomposites have remarkable adsorption performance for HMs with the highest adsorption capacity (qe(mg/g)).
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纳米复合材料同时吸附水性基质中的重金属:证据的首次系统综述
背景:在过去的几十年里,纳米复合材料作为去除共存污染物的有效吸附剂受到了极大的关注。废水中重金属的存在引起了全球健康问题。因此,本研究的目的是综述最相关的出版物,这些出版物报道了使用纳米结构在混合水系统中同时吸附HMs。方法:在这项系统综述中,通过对1990-2021年期间三个数据库(ISI、Scopus和PubMed)的系统搜索,纳入了9项研究。讨论了初始浓度、接触时间、吸附剂用量和pH等同时吸附参数的最佳值。结果:研究结果表明,Langmuir和Freundlich模型以及伪二阶动力学模型已被广泛使用,是描述纳米吸附剂对HMs平衡的最流行的模型。该研究证实,HMs的同时去除率随着pH值的增加而降低。研究发现,HMs在纳米结构上吸附的主要机制是静电相互作用和沉淀。结论:纳米复合材料对HMs具有显著的吸附性能,吸附量最高(qe(mg/g))。
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来源期刊
CiteScore
2.40
自引率
37.50%
发文量
17
审稿时长
12 weeks
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