Recent Advances on Carbon-Based Metal-Free Electrocatalysts for Energy and Chemical Conversions.
Qingfeng ZhaiHetaishan HuangTom LawsonZhenhai XiaPaolo GiustoMarkus AntoniettiMietek JaroniecManish ChhowallaJong-Beom BaekYun LiuShizhang QiaoLiming DaiPublished in: Advanced materials (Deerfield Beach, Fla.) (2024)
Over the last decade, carbon-based metal-free electrocatalysts (C-MFECs) have become important in electrocatalysis. This field is started thanks to the initial discovery that nitrogen atom doped carbon can function as a metal-free electrode in alkaline fuel cells. A wide variety of metal-free carbon nanomaterials, including 0D carbon dots, 1D carbon nanotubes, 2D graphene, and 3D porous carbons, has demonstrated high electrocatalytic performance across a variety of applications. These include clean energy generation and storage, green chemistry, and environmental remediation. The wide applicability of C-MFECs is facilitated by effective synthetic approaches, e.g., heteroatom doping, and physical/chemical modification. These methods enable the creation of catalysts with electrocatalytic properties useful for sustainable energy transformation and storage (e.g., fuel cells, Zn-air batteries, Li-O 2 batteries, dye-sensitized solar cells), green chemical production (e.g., H 2 O 2 , NH 3 , and urea), and environmental remediation (e.g., wastewater treatment, and CO 2 conversion). Furthermore, significant advances in the theoretical study of C-MFECs via advanced computational modeling and machine learning techniques have been achieved, revealing the charge transfer mechanism for rational design and development of highly efficient catalysts. This review offers a timely overview of recent progress in the development of C-MFECs, addressing material syntheses, theoretical advances, potential applications, challenges and future directions.
Keyphrases
- highly efficient
- carbon nanotubes
- wastewater treatment
- induced apoptosis
- metal organic framework
- machine learning
- cell cycle arrest
- solar cells
- solid state
- human health
- small molecule
- risk assessment
- antibiotic resistance genes
- signaling pathway
- endoplasmic reticulum stress
- reduced graphene oxide
- mental health
- oxidative stress
- artificial intelligence
- cell proliferation
- deep learning
- single cell
- life cycle
- big data