245
Views
6
CrossRef citations to date
0
Altmetric
Special Issue Articles

A review exploring the adsorptive removal of organic micropollutants on tailored hierarchical carbon nanotubes

ORCID Icon, , , &
Pages 282-325 | Received 08 Oct 2020, Accepted 13 May 2021, Published online: 06 Jun 2021
 

Abstract

Compared to other existing carbon nanomaterials (CNMs), carbon nanotubes (CNTs) are recognized for their significant properties. Despite their strong adsorption affinity, the difficulty of their dispersion and separation leads to limit their application in practical water treatment. Moreover, wastewater contamination by noxious organics, such as bisphenol A (BPA) and methylene blue (MB) dye compounds has become a world-wide environmental concern because they may be harmful to humans’ health and the ecosystem. Therefore, this article aims to explore the potential of economically directly growing CNTs on porous supports, such as the powder activated carbon (AC) to develop a multiscale hybridized material and to investigate their expected potential as viable adsorbents for removing persistent organic contaminants.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Acknowledgments

The authors wish to express their thanks to the University of Technology-Iraq and the University of Malaya for funding this research.

Additional information

Funding

This work was supported by the University of Technology-Iraq and the University of Malaya.

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 2,970.00 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.