LAPSE:2023.0166
Published Article
LAPSE:2023.0166
Incidence of Electric Field and Sulfuric Acid Concentration in Electrokinetic Remediation of Cobalt, Copper, and Nickel in Fresh Copper Mine Tailings
Rodrigo Ortiz-Soto, Daniela Leal, Claudia Gutierrez, Alvaro Aracena, Marcelo León, Andrea Lazo, Pamela Lazo, Lisbeth Ottosen, Henrik Hansen
February 17, 2023
In the present study, the assessment of heavy metal contaminant migration from fresh mine tailings was conducted using the electrokinetic remediation technique (EKR). In this sense, a pilot EKR cell was designed to evaluate the recovery potential of copper, nickel, and cobalt species. In particular, the focus was on the impacts of electric field intensity and pH in initial mixture and testing their interaction in copper, nickel, and cobalt migration. Experiments were made using a 22 factorial experimental design with a central point, using DC electric fields from 1.0 to 2.0 V cm−1 and H2SO4 pretreatment solutions from 1.0 to 2.0 mol L−1, along with an ANOVA test with error reduction. The metal removal rates were approximately 7% for cobalt, neglectable for copper, and 6% for nickel. In the best cases, the highest concentrations by migration at the cathodic zone were 11%, 31%, and 30%, respectively. According to ANOVA tests, factor interaction was proven for each metal in the half cell near the cathode and the closest zone from the cathode specifically. Both factors affected metal concentrations, which indicates that when the goal aims for species accumulation in a narrower section, each factor has a significant effect, and their interaction makes a proven enhancement. Thus, using 2.0 V cm−1 and 2.0 mol L−1 showed a high improvement in metal concentration in the cathodic zone.
Keywords
electrokinetic remediation, heavy metal removal, mine tailing
Suggested Citation
Ortiz-Soto R, Leal D, Gutierrez C, Aracena A, León M, Lazo A, Lazo P, Ottosen L, Hansen H. Incidence of Electric Field and Sulfuric Acid Concentration in Electrokinetic Remediation of Cobalt, Copper, and Nickel in Fresh Copper Mine Tailings. (2023). LAPSE:2023.0166
Author Affiliations
Ortiz-Soto R: Escuela de Ingeniería Química, Pontificia Universidad Católica de Valparaíso, Avenida Brasil 2162, Valparaíso 2340025, Chile [ORCID]
Leal D: Departamento de Ingeniería Química y Ambiental, Universidad Técnica Federico Santa María, Avenida España 1680, Valparaíso 2390123, Chile
Gutierrez C: Departamento de Ingeniería Química y Ambiental, Universidad Técnica Federico Santa María, Avenida España 1680, Valparaíso 2390123, Chile
Aracena A: Escuela de Ingeniería Química, Pontificia Universidad Católica de Valparaíso, Avenida Brasil 2162, Valparaíso 2340025, Chile
León M: Escuela de Ingeniería Química, Pontificia Universidad Católica de Valparaíso, Avenida Brasil 2162, Valparaíso 2340025, Chile [ORCID]
Lazo A: Departamento de Ingeniería Química y Ambiental, Universidad Técnica Federico Santa María, Avenida España 1680, Valparaíso 2390123, Chile [ORCID]
Lazo P: Instituto de Química y Bioquímica, Facultad de Ciencias, Universidad de Valparaíso, Avenida Gran Bretaña 1111, Valparaíso 2360102, Chile [ORCID]
Ottosen L: Department of Civil Engineering, Technical University of Denmark, 2800 Kongens Lyngby, Denmark
Hansen H: Departamento de Ingeniería Química y Ambiental, Universidad Técnica Federico Santa María, Avenida España 1680, Valparaíso 2390123, Chile
Journal Name
Processes
Volume
11
Issue
1
First Page
108
Year
2022
Publication Date
2022-12-30
Published Version
ISSN
2227-9717
Version Comments
Original Submission
Other Meta
PII: pr11010108, Publication Type: Journal Article
Record Map
Published Article

LAPSE:2023.0166
This Record
External Link

doi:10.3390/pr11010108
Publisher Version
Download
Files
[Download 1v1.pdf] (1.2 MB)
Feb 17, 2023
Main Article
License
CC BY 4.0
Meta
Record Statistics
Record Views
62
Version History
[v1] (Original Submission)
Feb 17, 2023
 
Verified by curator on
Feb 17, 2023
This Version Number
v1
Citations
Most Recent
This Version
URL Here
https://psecommunity.org/LAPSE:2023.0166
 
Original Submitter
Auto Uploader for LAPSE
Links to Related Works
Directly Related to This Work
Publisher Version