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Evaluating organic acids as alternative leaching reagents for metal recovery from lithium ion batteries

Musariri, Bruce, Akdogan, Guven, Dorfling, Christie, Bradshaw, Steven·2019·Minerals Engineering

Abstract

Abstract Recycling of lithium ion batteries (LIBs) is important from an environmental management perspective and because of the potential economic benefits associated with the recovery of scarce resources such as lithium and cobalt. Current hydrometallurgical metal recycling processes involve dismantling and size reduction followed by leaching with mineral acids; these lixiviants present an environmental challenge of its own. This project evaluated the technical feasibility of using organic acids, which potentially have a smaller environmental impact that mineral acids, as lixiviants to recover lithium, cobalt and nickel from LIBs. Batch atmospheric leaching tests were performed with citric acid and DL-malic acid to investigate the effect of acid concentration, leaching temperature and H2O2 addition on metal leaching. Leaching with 1–1.5 M citric acid and 2 vol% H2O2 at 95 °C achieved more than 95% Co and Li dissolution; these results suggest that organic acids can possibly substitute inorganic acids as environmentally friendly lixiviants.

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Metadata

Authors
Musariri, B., Akdogan, G., Dorfling, C., & Bradshaw, S.
Venue
Minerals Engineering
Publisher
Elsevier BV
Published
2019-06
Volume
137
Pages
108-117
ISSN
0892-6875 (ISSN-L)
OpenAlex
W2933615033
Cited by
221
References
0
FWCI
11.44
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Evaluating organic acids as alternative leaching reagents for metal recovery from lithium ion batteries. https://app.cochat.ai/papers/10.1016/j.mineng.2019.03.027
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Musariri, B., Akdogan, G., Dorfling, C., & Bradshaw, S. (2019). Evaluating organic acids as alternative leaching reagents for metal recovery from lithium ion batteries. Minerals Engineering. https://doi.org/10.1016/j.mineng.2019.03.027

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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