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Published on: June 23, 2023
Boosting the OER via the metal-support interaction and H-bond network: amorphous RuOx on fluorinated
Ziye Feng1, Zijie Peng1, Yang Xu2
1SJTU Paris Elite Institute of Technology, Shanghai Jiao Tong University, Shanghai 200240, China. chengjunfang@sjtu.edu.cn.
Abstract:
The oxygen evolution reaction (OER) is central to water electrolysis for green hydrogen production, where the development of efficient, stable, and cost-effective catalysts remains a key challenge. Ruthenium (Ru)-based catalysts are highly promising for OER, yet their practical deployment is limited by poor stability and low atomic utilization. Here, we report a fluorination-assisted loading strategy to fabricate an amorphous@crystalline composite catalyst, in which amorphous RuOx active species are anchored onto a fluorine-modified Ruddlesden-Popper (R-P) perovskite support (La1.2Sr0.8Ni0.6Fe0.4O4+δFy) to form the catalyst denoted as RuOx@LSNF-F. Fluorination induces robust metal-support interactions via electronegativity differences, stabilizing Ru4+ to balance the activity and stability while constructing an ordered hydrogen-bond network and optimizing the surface wettability. Electrochemical tests in 1.0 M KOH confirm the exceptional OER performance of RuOx@LSNF-F, which achieves an overpotential of 287 mV at 10 mA cm-2, a Tafel slope of 75 mV dec-1, and a double-layer capacitance of 3.7 mF cm-2 while maintaining stable operation for over 100 h, outperforming its non-fluorinated counterpart, the pristine support, and other benchmark Ru-based catalysts. Mechanistic studies reveal that the exceptional performance arises from the synergistic coupling of the adsorbate evolution mechanism (AEM) and lattice oxygen mechanism (LOM), enabled by the fluorination-engineered interface, while a hydrogen bond network is enhanced on the amorphous RuOx layer to accelerate deprotonation and improve the surface wettability. This work presents a strategy for designing high-performance perovskite-based OER catalysts and advances the understanding of their structure-activity relationships.

