225
Views
14
CrossRef citations to date
0
Altmetric
Leaching

Removal of iron, copper, and lead from aqueous solutions with zeolite, bentonite, and steel slag

ORCID Icon, ORCID Icon &
Pages 2989-3000 | Received 04 Sep 2020, Accepted 15 Dec 2020, Published online: 23 Dec 2020
 

ABSTRACT

The removal efficiency of lead, iron, and copper ions from aqueous solutions with the use of zeolite, bentonite, and steel slag as adsorbents was investigated. Adsorption experiments were conducted at room temperature with aqueous solutions of individual metal ions of lead, copper, and iron, and an equimolar aqueous mixture of all three metal ions. The influence of pH value and initial concentration of the solutions and interaction of the selected ions and their impact on the adsorption have been studied. Experimental adsorption data were analyzed with the Langmuir and Freundlich isotherm model. The experiments showed promising results. In solutions with single metal ion removal percent obtained by bentonite were 98.1% for lead, 99.81% for copper, and 98.16% for iron. By using zeolite removal percent was 99.53% for lead, 98.47% for copper, and 96.11% for iron, while by using steel slag it was 99.98% for iron, 99.96% for copper, and 85.92% for lead. By examining the trinary solution, it could be seen that higher initial concentrations promote adsorption of lead and iron on zeolite and bentonite in the presence of other ions. When using steel slag removal percent of lead was noticeably higher in the trinary solution.

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 681.00 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.