1. Selective lithium extraction from spent lithium-ion batteries using siderophores produced by Pseudomonas aeruginosa: Efficacy, kinetics, and artificial neural network modeling.
- Author
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Vishwakarma, Anusha and Hait, Subrata
- Subjects
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ARTIFICIAL neural networks , *SIDEROPHORES , *PSEUDOMONAS aeruginosa , *BACTERIAL cultures , *X-ray diffraction , *BACTERIAL leaching - Abstract
In this study, microbial siderophore-mediated Li bioleaching from cathode active material (CAM) of spent LIBs was attempted. Pseudomonas aeruginosa was used to produce siderophores. For maximum siderophore production, favourable conditions like initial pH of Fe-free medium (5–9) and glucose (0.5–5 g/L) were assessed. Under optimal siderophore production conditions, Li bioleaching from CAM powder was studied at varying pulp densities (PD: 1–5 g/L), using bacterial cultures cultivated for 48 h and 120 h. Maximum siderophore production of ∼52 psu occurred at pH 7 and 1 g/L glucose after 48 h. Qualitative and quantitative analyses confirmed the production of mixed-type siderophores (catecholate and hydroxamate), which was further corroborated by FTIR analysis. Produced siderophores using 120 h old bacterial culture showed maximum Li extraction of >99 % at 1 g/L PD in 144 h. Artificial neural network model accurately predicted the response (R2=0.9997; RMSE=0.4955). Following the shrinking core model, kinetics analysis revealed the microbial siderophore-mediated Li bioleaching mechanism followed the diffusion of lixiviant into CAM particles and dissolution of product layer away from the particle surface, which further substantiated by XRD and FESEM analyses. This study offers an alternative bioleaching approach for sustainable Li extraction from spent LIBs employing microbial siderophores. [Display omitted] • Siderophore-mediated lithium (Li) extraction from spent Li-ion batteries was studied. • Pseudomonas aeruginosa produced mixed-type siderophores: catecholate and hydroxamate. • Maximum Li extraction of more than 99 % achieved in 144 h at 1 g/L of pulp density. • Diffusion is the rate-controlling step of Li extraction from cathode active material. • Artificial neural network model reliably predicted siderophore-mediated Li extraction. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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