N, F Codoped FeOOH Nanosheets with Intercalated Carbonate Anions Rich in Oxygen Defects for Enhanced Alkaline Electrocatalytic Water Splitting.
Jia-Qi LvXinyu ChenYingfei ChangYang-Guang LiHong-Ying ZangPublished in: ACS applied materials & interfaces (2022)
Alkaline water splitting is a highly efficient and clean technology for hydrogen energy generation. However, in alkaline solutions, most catalysts suffer from extreme instability. Herein, a cross-nanostructured N, F, and CO 3 2- codoped iron oxyhydroxide composite (N,F-FeO(OH)-CO 3 -NF) rich in oxygen defects is designed for water splitting in the alkaline solution. X-ray photoelectron spectroscopy (XPS) and density functional theory (DFT) calculations show that the introduction of F and CO 3 2- can induce electron redistribution around the active center Fe, accelerate the four-electron transfer process, and optimize the d-band center, thereby improving the efficiency and stability of HER and OER. In a 1 M KOH solution, N,F-FeO(OH)-CO 3 -NF only needs the overpotential of 248 mV for OER and the overpotential of 199 mV for HER to reach the current density of 10 mA·cm -2 . Meanwhile, it can reach 100 mA·cm -2 current density at 1.55 V vs RHE and maintains a current density of 10 mA·cm -2 for 120 h in a two-electrode electrolytic water device. Compared with bulk hydroxides, the heteroatom and anion codoped composite hydroxides are more stable and have dual functions in the electrolyte solution. This is of great significance for designing a new stable water-splitting electrocatalyst.
Keyphrases
- density functional theory
- highly efficient
- solid state
- electron transfer
- molecular dynamics
- metal organic framework
- ionic liquid
- anaerobic digestion
- signaling pathway
- high resolution
- lps induced
- pi k akt
- oxidative stress
- reduced graphene oxide
- magnetic resonance
- immune response
- magnetic resonance imaging
- quantum dots
- molecular docking
- gold nanoparticles
- cell proliferation
- inflammatory response
- carbon nanotubes
- contrast enhanced
- monte carlo