TY  - JOUR 
AU  - Rehman, Hamid
AU  - Debik, Eyup
AU  - Ulucan-Altuntas, Kubra
AU  - Manav-Demir, Neslihan
AU  - Canci, Baris
AU  - Iqbal, Mazhar
AU  - Barros García, Rocío
AU  - ur Rehman, Wasif
AU  - Mohanty, Sanjay K
AU  - Khan, Aqib Hassan Ali
PY  - 2025
SN  - 2590-1230
UR  - https://hdl.handle.net/10259/11737
AB  - This review provides a comprehensive, data-driven perspective on rare earth element (REE) recoveries from
various waste streams by bioleaching, integrating mechanistic insights, microbial performance data, advanced
statistical and machine learning...
LA  - eng
PB  - Elsevier
KW  - Bioleaching
KW  - REE recovery
KW  - Machine learning
KW  - Waste management
KW  - Metals
KW  - Organic acids
KW  - Aprendizaje automático
KW  - Machine learning
KW  - Gestión de residuos
KW  - Refuse and refuse disposal
TI  - Bioleaching of waste-derived rare earth elements: An integrated approach with meta-analysis and predictive analytics for scale-up
DO  - 10.1016/j.rineng.2025.107720
T2  - Results in Engineering
VL  - 28
M2  - 107720
ER  -