137
Views
3
CrossRef citations to date
0
Altmetric
Research Articles

Stability of emulsion liquid membrane using blended nonionic surfactant and multi-walled carbon nanotubes (MWCNTs) for methylparaben removal

, &
Pages 1020-1026 | Received 18 Nov 2022, Accepted 18 Mar 2023, Published online: 08 Apr 2023
 

Abstract

The emulsion instability is a significant drawback of the emulsion liquid membrane (ELM) technique for large-scale industrial separations. The synergistic effect of blended surfactant (Span 80 and Span 20) and multi-walled carbon nanotubes (MWCNTs) on ELM stability for methylparaben removal were studied. Emulsion (Span 80 + Span 20 + MWCNTs; HLB 5.7) possesses the highest ESI values at all time intervals. The %swelling of emulsion is reduced by 42% by using blended surfactants (Span 80 and Span 20) and nanoparticles (MWCNTs). The overall mass transfer coefficient is increased by 4.746% by adding MWCNTs to the ELM system. The energy (E) needed to detach a particle from the interface is estimated as 0.7286 × 10−13 J (1.7727 × 107 kT). This indicates effective irreversible adsorption of particles at the interfaces and influences the particles capability to stabilize the emulsion.

Graphical abstract

Disclosure statement

The authors declare that they have no conflict of interest.

Additional information

Funding

The authors thank the Ministry of Human Resource Development, Government of India, for their support.

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 666.00 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.