journal article·2018-10-12

Mixed-Node Metal–Organic Frameworks as Efficient Electrocatalysts for Oxygen Evolution Reaction

Xiaohua Zhao, Brian Pattengale, Donghua Fan, Zehua Zou, Yongqing Zhao, Jing Du, Jier Huang, Cailing Xu

ACS Energy Letters· Volume 3· Issue 10
Publisher page

Abstract

Metal organic frameworks (MOFs), an emerging class of nanoporous crystalline materials, have become increasingly attractive for solar energy applications. In this work, we report a newly designed mixed-node MOF catalyst, CoxFe1–x-MOF-74 (0 < x ≤ 1), which acts as a highly efficient electrocatalyst for oxygen evolution reaction (OER) in alkaline solution with remarkably low overpotential (280 mV at a current density of 10 mA/cm2), small Tafel slope (56 mV/dec), and high faradic efficiency (91%) and can deliver a current density of 20 mA/cm2 at 1.58 V for overall water splitting. Moreover, using the combination of multiple spectroscopic methods, including X-ray absorption, electron spin resonance, and X-ray photoelectron spectroscopy, etc., we unraveled the mechanistic origin of the enhanced catalytic performance of CoxFe1–x-MOF-74 compared to its single-metal counterparts. We show the mixed-node MOF can provide more open metal sites and an enhanced electron-rich environment, which facilitates efficient charge transfer and results in significantly enhanced OER activity.
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Research context

OpenAlex topics: Electrocatalysts for Energy Conversion · Metal-Organic Frameworks: Synthesis and Applications · Advanced Photocatalysis Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Applied Organic Chemistry, Laboratory of Special Function Materials and Structure Design of the Ministry of Education, College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China

Department of Chemistry, Marquette University, Milwaukee, Wisconsin 53201, United States

School of Applied Physics and Materials, Wuyi University, Jiangmen 529020, China

Funding

National Natural Science Foundation of China · Gansu Province

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