生物质/煤基炭材料作为氧还原反应电催化剂的研究进展OA
Progress of biomass/coal-based carbon materials as electrocatalysts for oxygen reduction reaction
氧还原反应(ORR)是燃料电池和金属-空气电池的核心,但其缓慢动力学和高过电位限制了电池性能.传统铂基催化剂成本高、储量有限且稳定性差,阻碍大规模商业化.本工作综述了近年来生物质/煤基ORR炭材料电催化剂的最新研究进展.涵盖原料特性、制备方法、结构调控等关键内容,旨在为开发高性能、低成本的ORR炭材料电催化剂提供理论指导.同时指出,保障原料均一性、精准调控活性位点、优化结构设计以及开发大规模制备工艺的深入探索将成为推动炭基ORR电催化剂性能突破和产业化进程的关键发展方向.
The oxygen reduction reaction(ORR)is essential for fuel cells and metal-air batteries,but its slow kinetics and high overpotential restrict battery performance.Traditional platinum-based catalysts are expensive,have limited reserves and exhibit poor stability,hindering large-scale commercialization.This paper reviews recent advances in the research of biomass/coal/-based electrocatalysts for ORR.Covering key aspects such as raw material properties,preparation methods,structural regulation,and practical application cases,this work aims to provide theoretical guidance for developing high-performance,low-cost non-precious metal ORR carbon electrocatalysts.In order to improve the performance of carbon-based ORR electrocatalysts and promote their industrialization,future investigations into guaranteeing raw material homogeneity,precisely regulating of active sites,optimizing structural design,and developing large-scale preparation procedures will serve as the key directions for its further breakthrough in performance and industrialization.
赵晓婷;王志青;路军;房倚天;刘哲语
中国科学院山西煤炭化学研究所煤炭高效低炭利用全国重点实验室,山西太原 030001||中国科学院大学,北京 100049中国科学院山西煤炭化学研究所煤炭高效低炭利用全国重点实验室,山西太原 030001中国科学院山西煤炭化学研究所煤炭高效低炭利用全国重点实验室,山西太原 030001中国科学院山西煤炭化学研究所煤炭高效低炭利用全国重点实验室,山西太原 030001中国科学院山西煤炭化学研究所煤炭高效低炭利用全国重点实验室,山西太原 030001
化学化工
生物质/煤基电催化剂氧还原反应燃料电池金属-空气电池结构调控
biomass/coal-based electrocatalystoxygen reduction reactionfuel cellsmetal-air batteriesstructural regulation
《燃料化学学报(中英文)》 2026 (8)
124-134,11
Supported by the National Science Foundation of China(22378410),the National Key Research and Development Program of China(2021YFC1808904),the Strategic Priority Research Program of the Chinese Academy of Sciences(XDB1190202).国家自然科学基金(22378410),国家重点研发计划(2021YFC1808904)和中国科学院战略性前沿专项(XDB1190202)资助
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