Bo Niu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Bo Niu has a total of 41 co-authors. Here are the top co-authors by number of shared publications:
- Zhenming Xu
State Key Laboratory of Green Papermaking and Resource Recycling, School of Environmental Science and Engineering, Shanghai Jiao Tong University, Shanghai, People’s Republic of China
6 shared publications Shanshan E
College of Mechanical and Electrical Engineering, Hebei Agricultural University, Hebei, Baoding 07100, People's Republic of China
5 shared publicationsZhenming Xu
School of Environmental Science and Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai, 200240, People's Republic of China
5 shared publicationsBoyang Xu
Key Laboratory of Farmland Ecological Environment of Hebei Province, College of Resources and Environmental Science, Hebei Agricultural University, Hebei, Baoding, 071000, People's Republic of China
4 shared publicationsBing Han
School of Agriculture, Food and Ecosystem Sciences, Faculty of Science, The University of Melbourne, Parkville, VIC, 3010, Australia
3 shared publicationsRuitong Gao
College of Chemistry and Chemical Engineering, Institute for Sustainable Energy and Resources, Qingdao University, 308 Ningxia Road, Qingdao, 266071, China
3 shared publications
Latest Publications
- 18 July 2026
- Published by Elsevier in Journal of Environmental Management
- Vol. 414, 130509
Cu2+-mediated adsorption–photocatalytic removal of tetracycline by eggshell-derived CaCO3/g-C3N4 composite from livestock wastewater
- 18 July 2026
- Published by Elsevier in Journal of Environmental Management
- Vol. 414, 130509
Cu2+-mediated adsorption–photocatalytic removal of tetracycline by eggshell-derived CaCO3/g-C3N4 composite from livestock wastewater
- 24 May 2026
- Published by Elsevier in Journal of Environmental Management
- Vol. 409, 130043
From trial-and-error to intelligent prediction: Machine learning drives eco-efficient gold leaching in e-waste
- 24 May 2026
- Published by Elsevier in Journal of Environmental Management
- Vol. 409, 130043
From trial-and-error to intelligent prediction: Machine learning drives eco-efficient gold leaching in e-waste
- 15 September 2025
- Published by Elsevier in Waste Management
- Vol. 207, 115132
Machine learning for efficient prediction and optimization of platinum group metal recovery from spent automotive catalysts
- 15 September 2025
- Published by Elsevier in Waste Management
- Vol. 207, 115132
Machine learning for efficient prediction and optimization of platinum group metal recovery from spent automotive catalysts
- 18 August 2025
- Published by Royal Society of Chemistry (RSC) in Green Chemistry
- Vol. 27 (35) , 10291-10315
From lithium-last technology to lithium-first technology: technical mapping and collaborative strategies for sustainable lithium-ion battery recycling
The lithium-ion battery (LIB) industry faces a critical challenge in achieving sustainable resource circularity amid surging global demand. While LIB recycling technologies have advanced, a disconnect persists between academia and industry: novel methods remain confined to labs, while industry relies on traditional hydrometallurgy with high pollution risks. This review redefines LIB recycling technologies as “lithium-last technology” (LLT) and “lithium-first technology” (LFT) paradigms, establishing a technical mapping to bridge this gap. LLT, driven by transition metal (TM) recovery, employs hydrogen-/nitrogen-based extractants or bio-extractants but suffers from inefficiency and environmental costs. LFT prioritizes selective lithium extraction via product- or process-oriented strategies, enhancing sustainability and shortening recycling routes. However, industrial adoption of LFT is hindered by operational complexity, impurity management, and scalability barriers. Life-cycle assessments reveal that emerging oxidative extraction and direct regeneration show promise for low-carbon development, yet traditional methods dominate due to rigid infrastructure and market immaturity. Future challenges include handling low-value LIBs (e.g., LFP), mitigating overcapacity, and integrating AI for pre-evaluation. This work provides actionable insights to align academic innovation with industrial needs, fostering eco-friendly and economically viable LIB recycling.
- 18 August 2025
- Published by Royal Society of Chemistry (RSC) in Green Chemistry
- Vol. 27 (35) , 10291-10315
From lithium-last technology to lithium-first technology: technical mapping and collaborative strategies for sustainable lithium-ion battery recycling
The lithium-ion battery (LIB) industry faces a critical challenge in achieving sustainable resource circularity amid surging global demand. While LIB recycling technologies have advanced, a disconnect persists between academia and industry: novel methods remain confined to labs, while industry relies on traditional hydrometallurgy with high pollution risks. This review redefines LIB recycling technologies as “lithium-last technology” (LLT) and “lithium-first technology” (LFT) paradigms, establishing a technical mapping to bridge this gap. LLT, driven by transition metal (TM) recovery, employs hydrogen-/nitrogen-based extractants or bio-extractants but suffers from inefficiency and environmental costs. LFT prioritizes selective lithium extraction via product- or process-oriented strategies, enhancing sustainability and shortening recycling routes. However, industrial adoption of LFT is hindered by operational complexity, impurity management, and scalability barriers. Life-cycle assessments reveal that emerging oxidative extraction and direct regeneration show promise for low-carbon development, yet traditional methods dominate due to rigid infrastructure and market immaturity. Future challenges include handling low-value LIBs (e.g., LFP), mitigating overcapacity, and integrating AI for pre-evaluation. This work provides actionable insights to align academic innovation with industrial needs, fostering eco-friendly and economically viable LIB recycling.
- 17 July 2025
- Published by Springer Nature in Nature Reviews Methods Primers
- Vol. 5 (1) , 1-2
Tackling the complexity of e-waste for its reuse in functional materials
- 17 July 2025
- Published by Springer Nature in Nature Reviews Methods Primers
- Vol. 5 (1) , 1-2
Tackling the complexity of e-waste for its reuse in functional materials
- Open Access
- 27 April 2025
- Published by Elsevier in Science of The Total Environment
- Vol. 979, 179502
Mechanistic insights into oxychar’ s role in mitigating ammonia volatilization from fertilised alkaline soils
- 27 April 2025
- Published by Elsevier in Science of The Total Environment
- Vol. 979, 179502
Open AccessMechanistic insights into oxychar’ s role in mitigating ammonia volatilization from fertilised alkaline soils
- 7 February 2025
- Published by Elsevier in Waste Management
- Vol. 195, 145-154
Intelligent leaching of Zn and Mn from spent disposable batteries to avoid traditional optimizing experiments
- 7 February 2025
- Published by Elsevier in Waste Management
- Vol. 195, 145-154
Intelligent leaching of Zn and Mn from spent disposable batteries to avoid traditional optimizing experiments