461
Views
8
CrossRef citations to date
0
Altmetric
Review

Developments in supported liquid membranes for treatment of metal-bearing wastewater

, , & ORCID Icon
Pages 38-56 | Received 09 Jan 2020, Accepted 15 Sep 2020, Published online: 20 Dec 2020
 

ABSTRACT

Harmful effects of aqueous metal pollutants and benefits of recycling drive the need for wastewater treatment and recovering metals for reuse. Supported liquid membrane (SLM) separation is one of the potential energy-efficient techniques that can recover metal ions selectively, but improvements in transport rate and stability are needed to improve treatment capacity and SLM lifetime. Many lab studies on SLM could demonstrate metal removal efficiencies above 70% and mass transfer coefficient in the range of 10−6 m/s, but there is more variation in reported SLM stability for different setups tested. Recently, researchers started exploring the use of green chemicals in constructing SLM. In this review, factors affecting selectivity, transport kinetics, and stability of SLMs are presented. Improvement strategies for maturing SLM technique into a technology capable for treating metal-bearing wastewater on an industrial scale are discussed.

Acknowledgments

This work was supported by the Ministry of Energy, Science, Technology, Environment and Climate Change (MESTECC), Malaysia under Grant 305.PTEKIND.613332

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 757.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.