JOURNAL ARTICLE

Self‐Powered Electrocatalytic Aldehyde Reforming Fuel Cell for Sustainable H2 Generation with ∼200% Faradaic Efficiency.

  • Published In: Angewandte Chemie International Edition, 2025, v. 64, n. 26. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Hu, Fen; Chen, Kai; Lu, Zhiwen; Gao, Jiyuan; Lan, Senchen; Chen, Junxiang; Ci, Suqin; Wen, Zhenhai 3 of 3

Abstract

Formaldehyde (HCHO), a promising yet challenging hydrogen carrier, offers a unique opportunity for efficient hydrogen generation through electro‐oxidation, simultaneously eliminating harmful HCHO and contributing to environmental sustainability. This study rises to the challenge by pioneering a hybrid acid/alkali formaldehyde hydrogen production fuel cell (h‐AAFHFC), an integrated system that integrates anodic partial electro‐reforming of aldehydes at low potential with the cathodic hydrogen evolution reaction (HER). The device introduces a new self‐powered paradigm for hydrogen generation, driven by electrochemical neutralization energy (ENE), featuring high Faradaic efficiency for hydrogen production, co‐generation of electricity, and HCOOH. The h‐AAFHFC attains an open‐circuit voltage (OCV) of 1.11 V and a peak power density of 94 mW cm−2, enabling simultaneous hydrogen production at both electrodes with an extraordinary Faradaic efficiency of approximately 200%. This breakthrough marks a transformative shift, moving from traditional electricity‐driven systems to self‐sustaining H2 generation. Our work demonstrates a promising pathway for sustainable hydrogen production, advancing the potential of clean hydrogen energy technologies. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Angewandte Chemie International Edition. 2025/06, Vol. 64, Issue 26, p1
  • Document Type:Article
  • Subject Area:Environmental Sciences
  • Publication Date:2025
  • ISSN:1433-7851
  • DOI:10.1002/anie.202504894
  • Accession Number:186112902
  • Copyright Statement:Copyright of Angewandte Chemie International Edition is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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