Recovery of Rare Earth Elements by Carbon-Based Nanomaterials-A Review
authors Cardoso, CED; Almeida, JC; Lopes, CB; Trindade, T; Vale, C; Pereira, E
nationality International
journal NANOMATERIALS
author keywords carbon nanostructures; E-waste; rare earth elements; solid phase extraction; sorption
keywords SOLID-PHASE EXTRACTION; HEALTH-RISK ASSESSMENT; GRAPHENE OXIDE; AQUEOUS-SOLUTIONS; GRAPHITE OXIDE; IONIC LIQUIDS; MINING AREAS; ADSORPTION; PRECONCENTRATION; EU(III)
abstract Modern societies depend strongly on electronic and electric equipment (EEE) which has a side effect result on the large production of electronic wastes (e-waste). This has been regarded as a worldwide issue, because of its environmental impact-namely due to non-adequate treatment and storage limitations. In particular, EEE is dependent on the availability of rare earth elements (REEs), considered as the vitamins of modern industry, due to their crucial role in the development of new cutting-edge technologies. High demand and limited resources of REEs in Europe, combined with potential environmental problems, enforce the development of innovative low-cost techniques and materials to recover these elements from e-waste and wastewaters. In this context, sorption methods have shown advantages to pre-concentrate REEs from wastewaters and several studies have reported the use of diverse nanomaterials for these purposes, although mostly describing the sorption of REEs from synthetic and mono-elemental solutions at unrealistic metal concentrations. This review is a one-stop-reference by bringing together recent research works in the scope of the application of carbon nanomaterials for the recovery of REEs from water.
publisher MDPI
issn 2079-4991
year published 2019
volume 9
issue 6
digital object identifier (doi) 10.3390/nano9060814
web of science category Nanoscience & Nanotechnology; Materials Science, Multidisciplinary
subject category Science & Technology - Other Topics; Materials Science
unique article identifier WOS:000475352900008
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  impact metrics
journal analysis (jcr 2019):
journal impact factor 4.324
5 year journal impact factor 4.514
category normalized journal impact factor percentile 65.762
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