4.7 Article

Recovery of nickel from spent multilayer ceramic capacitors: A novel and sustainable route based on sequential hydrometallurgical and photocatalytic stages

Journal

SEPARATION AND PURIFICATION TECHNOLOGY
Volume 326, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.seppur.2023.124780

Keywords

Green leaching; Spent capacitors; Nickel recovery; Nickel dissolution; Photodeposition

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The study focuses on the extraction of nickel from secondary resources using a chloride-based solution containing cupric ions. Optimal operating conditions were identified, resulting in the complete dissolution of metallic nickel from waste materials. The proposed method also shows potential for selective metal recovery through precipitation and photodeposition on titanium dioxide.
The depletion of primary metal sources and the extensive use of nickel necessitate its extraction from secondary resources. In this study, we employed a chloride-based solution containing cupric ions (NaCl/CuCl2) to enable a straightforward recovery process for nickel from Ni-containing waste materials. Prior to application in real systems, we evaluated different operating conditions using metallic nickel particles, including chloride and cupric ion concentrations, system temperature, and pH. Optimal efficiency was achieved at T = 60 degrees C, pH = 5.0, [Cu(II)]0 = 5.0 x 10-3 M, and [Cl]0 = 6.0 M, resulting in complete dissolution of metallic Ni (58 ppm) within 180 min. This optimized leaching system was then applied to exhausted nickel-containing multilayer ceramic capacitors (MLCCs) matrixes, leading to 80% Ni recovery. FESEM-EDX and XRD analysis characterized both synthetic and real matrixes. Additionally, we proposed a viable route for selective metal recovery through precipitation and photodeposition on titanium dioxide. Complete copper photodeposition occurred after 150 min, while Ni precipitation as Ni(OH)2 was achieved by adjusting the solution pH to 10. Experimental data from runs with the synthetic matrix were analyzed using a shrinking spherical particle model.

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