Surface Reconstruction of an FeNi Foam Substrate for Efficient Oxygen Evolution.

Inorg Chem

Institute of Environmental Health & Green Chemistry, School of Public Health, Nantong University, Nantong226019, Jiangsu, China.

Published: December 2022

Designing earth-abundant electrocatalysts that are highly active, low-cost, and stable for the oxygen evolution reaction (OER) is crucial for electrochemical water splitting. However, in conventional electrode fabrication strategies, NiFe layered double hydroxide (NiFe LDH) catalysts are usually coated onto substrates as external components, which suffers from poor conductivity, easily detaches from the substrate, and hinders their long-term utilization. Herein, the surface-reconstruction strategy is used to synthesize in situ autologous NiFe LDH to increase the surficial active sites numbers. The FeNi foam (FNF) serves as both the metal source and substrate, and the obtained NiFe LDH nanosheets (NSs) are firmly anchored in the monolithic FNF. What needs to be emphasized is that the strategy does not involve any high-temperature or high-pressure processes, apart from a cost-effective etching and a specified drying treatment. The nanostructure of NiFe LDH and the synergistic effect between Fe and Ni simultaneously lead to an enhanced catalytic effect for the OER. Remarkably, the -FNF46 requires only an ultralow overpotential of 283 mV to achieve a current density of 100 mA cm for the OER in 1 M KOH electrolyte, and exhibits excellent stability. Thus, the obtained electrode holds promise for electrocatalytic applications. Finally, the formation mechanism of NiFe LDH NSs due to surface reconstruction is investigated and discussed in detail.

Download full-text PDF

Source
http://dx.doi.org/10.1021/acs.inorgchem.2c03482DOI Listing

Publication Analysis

Top Keywords

nife ldh
20
surface reconstruction
8
feni foam
8
oxygen evolution
8
nife
6
ldh
5
reconstruction feni
4
foam substrate
4
substrate efficient
4
efficient oxygen
4

Similar Publications

Unveiling the role of NiFeM hydroxide (M = Pt, Ru, Ir, Rh) cocatalysts for robust H production in photocatalytic water splitting.

Chem Commun (Camb)

January 2025

Fujian Provincial Key Laboratory of Polymer Materials, College of Materials Science and Engineering, Fujian Normal University, Fuzhou 350007, China.

In this study, the NiFe-LDH doped with different Pt group metals (Pt, Ru, Ir, Rh) was prepared as a cocatalyst for photocatalytic H production over g-CN. It is found that the doped NiFe-LDH loaded g-CN generally displays higher photocatalytic activity than the raw NiFe-LDH modified one, where the NiFeRu-LDH loaded g-CN shows the optimal H evolution rate of 77.4 μmol h, about 5.

View Article and Find Full Text PDF

Polycalmagite Coating Enables Long-Term Alkaline Seawater Oxidation Over NiFe Layered Double Hydroxide.

Small

January 2025

College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan, Shandong, 250014, China.

Renewable energy-powered seawater electrolysis is a green and attractive technique for producing high-purity hydrogen. However, severe chlorideions (Cl) and their derivatives tend to corrode anodic catalysts at ampere-level current densities and hinder the application of seawater-to-H systems. Herein, a polycalmagite (PCM)-coated NiFe layered double hydroxide is presented on Ni foam (NiFe LDH@PCM/NF) that exhibits exceptional stability in alkaline seawater.

View Article and Find Full Text PDF

Recently, photo-assisted electrocatalysis as an emerging catalytic approach that combines the technologies of photocatalysis and electrocatalysis has attracted great interest among researchers. Under this circumstance, the NiFe-LDH compounded with PbS based (PbS@NFHS) heterojunction with both photoactive and electrocatalytic properties was constructed for the first time through an ambient etching route and a subsequent low-temperature hydrothermal method. The as-prepared catalyst displayed a novel hierarchical 3D open structure based on nanosheets, which offered numerous electrochemically active sites, facilitated the swift diffusion of ions and enhanced both electrical conductivity and catalytic stability, thus significantly improving the catalytic performance.

View Article and Find Full Text PDF

NiFe-based arrays with manganese dioxide enhance chloride blocking for durable alkaline seawater oxidation.

J Colloid Interface Sci

April 2025

College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan 250014 Shandong, China; Center for High Altitude Medicine, West China Hospital, Sichuan University, Chengdu 610041 Sichuan, China. Electronic address:

Seawater splitting is increasingly recognized as a promising technique for hydrogen production, while the lack of good electrocatalysts and detrimental chlorine chemistry may hinder further development of this technology. Here, the interfacial engineering of manganese dioxide nanoparticles decorated on NiFe layered double hydroxide supported on nickel foam (MnO@NiFe LDH/NF) is reported, which works as a robust catalyst for alkaline seawater oxidation. Density functional theory calculations and experiment findings reveal that MnO@NiFe LDH/NF can selectively enrich OH and repel Cl in oxygen evolution reaction (OER).

View Article and Find Full Text PDF

Transition-metal layered double hydroxides are widely utilized as electrocatalysts for the oxygen evolution reaction (OER), undergoing dynamic transformation into active oxyhydroxides during electrochemical operation. Nonetheless, our understanding of the non-equilibrium structural changes that occur during this process remains limited. In this study, utilizing in situ energy-dispersive X-ray absorption spectroscopy and machine learning analysis, we reveal the occurrence of deprotonation and elucidate the role of incorporated iron in facilitating the transition from nickel-iron layered double hydroxide (NiFe LDH) into its active oxyhydroxide.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!