Adsorption of zinc and Iron from acidic industrial effluent using basic oxygen furnace slag

Thabo Falayi, Freeman Ntuli

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Basic oxygen furnace (BOF) slags was used as an adsorbent to remove heavy metals from steel processing plant effluent. The effluent had above legal limits content of Fe and Zn. A 0.75% solid loading of BOF slag was found to remove over 97% of Fe and 99%v of Zn. BOF slag was also able to raise the pH of the effluent from 2.5 to 6.8 after 30 mins. The adsorption of Fe and Zn followed Langmuir isotherm and first order kinetics. The metal loaded BOF slag could be used in three cycles of adsorption experiments and was stable against further leaching. This research therefore provides opportunity for the utilisation of the slag as an adsorbent for acidic industrial effluents containing heavy metals.

Original languageEnglish
Title of host publicationHNICEM 2017 - 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781538609101
DOIs
Publication statusPublished - 2 Jul 2017
Event9th IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2017 - Manila, Philippines
Duration: 29 Nov 20171 Dec 2017

Publication series

NameHNICEM 2017 - 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management
Volume2018-January

Conference

Conference9th IEEE International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2017
Country/TerritoryPhilippines
CityManila
Period29/11/171/12/17

Keywords

  • BOF slag
  • adsorption
  • effluent
  • langmiur isotherm

ASJC Scopus subject areas

  • Ecological Modeling
  • Management, Monitoring, Policy and Law
  • Computer Networks and Communications
  • Computer Science Applications
  • Human-Computer Interaction
  • Information Systems
  • Control and Optimization
  • Artificial Intelligence

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