The treatment of acid mine drainage (AMD) using a combination of selective precipitation and bio-sorption techniques: A hybrid and stepwise approach for AMD valorization and environmental pollution control
Year 2024,
Volume: 7 Issue: 3, 313 - 334, 30.09.2024
Nguegang Beauclair
,
Abayneh Ambushe
Abstract
In this study, selective precipitation using magnesium oxide (MgO) and bio-sorption with banana peels (BPs) were explored for the treatment and valorization of acid mine drainage (AMD). The treatment chain comprised two distinct stages of which selective precipitation of chemical species using MgO (step1) and polishing of pre-treated AMD using BPs (step 2). In stage 1, 2.0 L of AMD from coal mine were used for selective precipitation and recovery of chemical species using MgO. The results revealed that chemical species of concern were precipitated and recovered at different pH gradients with Fe(III) precipitated at pH ≤ 4, Al at pH ≥ 4-5, Fe(II), Mn and Zn at pH ≥ 8 while Ca and SO42─ were precipitated throughout the pH range. In stage 2, the pre-treated AMD water was polished using BPs. The results revealed an overall increase of pH from 1.7 to 10, and substantial removal of chemical species in the following removal efficiency: Al, Cu and Zn (100% each), ≥ Fe and Mn (99.99% each), ≥ Ni (99.93%), and ≥ SO42─ (90%). The chemical treatment step removed pollutants partially, whereas the bio-sorption step acted as a polishing stage by removing residual pollutants.
Ethical Statement
The project is supported by the Water Research Commission (WRC) of South Africa, Project Number C2022/2023-00933.
Supporting Institution
Water Research Commission (WRC)
Project Number
C2022/2023-00933
Thanks
The authors would like to acknowledge the Faculty of Science, University of Johannesburg for postdoctoral scholarship for NB. We acknowledge the University of Johannesburg Research Centre for Synthesis and Catalysis and Spectrum for the facility.
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Year 2024,
Volume: 7 Issue: 3, 313 - 334, 30.09.2024
Nguegang Beauclair
,
Abayneh Ambushe
Project Number
C2022/2023-00933
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