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Metal Removal and Recovery from Mining Wastewater and E-waste Leachate

About Metal Removal and Recovery from Mining Wastewater and E-waste Leachate

Metal contamination in the environment is a persisting global issue. The metal reservoirs in the earth have declined due to societyΓÇÖs needs and due to uncontrolled mining activities. Therefore, the idea to recover metals from waste streams has emerged. In this thesis, cost competitive technologies such as adsorption using agro-wastes and precipitation using an inverse fluidized bed (IFB) reactor were investigated, with special emphasis on the recovery of base metals. Groundnut shell showed good potential for metal (Cu, Pb and Zn) removal. From artificial neural network modeling, the performance of the sulfate reducing bacteria (SRB) was found to be strongly pH dependent; the removal efficiency of Cu and Zn in the IFB at pH 5.0 was >97%. Electronic waste is a good candidate as secondary metal resource. The recovery of Cu from computer printed circuited boards (PCBs) using biogenic sulfide precipitation was investigated as well. Using this technology, Cu could be recovered at ~0.48 g Cu/g PCBs.

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  • Language:
  • English
  • ISBN:
  • 9781138381711
  • Binding:
  • Hardback
  • Pages:
  • 146
  • Published:
  • June 29, 2020
  • Dimensions:
  • 170x240x0 mm.
  • Weight:
  • 535 g.
Delivery: 2-3 weeks
Expected delivery: December 5, 2024

Description of Metal Removal and Recovery from Mining Wastewater and E-waste Leachate

Metal contamination in the environment is a persisting global issue. The metal reservoirs in the earth have declined due to societyΓÇÖs needs and due to uncontrolled mining activities. Therefore, the idea to recover metals from waste streams has emerged.
In this thesis, cost competitive technologies such as adsorption using agro-wastes and precipitation using an inverse fluidized bed (IFB) reactor were investigated, with special emphasis on the recovery of base metals. Groundnut shell showed good potential for metal (Cu, Pb and Zn) removal. From artificial neural network modeling, the performance of the sulfate reducing bacteria (SRB) was found to be strongly pH dependent; the removal efficiency of Cu and Zn in the IFB at pH 5.0 was >97%. Electronic waste is a good candidate as secondary metal resource. The recovery of Cu from computer printed circuited boards (PCBs) using biogenic sulfide precipitation was investigated as well. Using this technology, Cu could be recovered at ~0.48 g Cu/g PCBs.

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