JOURNAL ARTICLE

Promoting Electrocatalytic Glycerol C─C Bond Cleavage to Formate Coupled with H2 Production Over a CuxNi2–xP Catalyst.

  • Published In: Advanced Energy Materials, 2024, v. 14, n. 34. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Ma, Lili; Miao, Yucong; Yang, Jiangrong; Fu, Yu; Yan, Yifan; Zhang, Zhiyuan; Li, Zhenhua; Shao, Mingfei 3 of 3

Abstract

Electrocatalytic oxidation of glycerol, an oversupplied byproduct of the biodiesel industry, into high‐valued chemicals is alluring to diminishing current dependence on fossil energy. Formic acid is an important glycerol oxidation product that serves as a high‐energy‐density fuel and crucial precursor for the fine chemical industry while developing an electrocatalyst to efficiently convert glycerol into formic acid remains a challenge. Herein, a Cu‐doped nickel phosphide (CuxNi2–xP) electrocatalyst, achieving formate productivity of ≈11 mol m−2 h−1 at 1.54 V versus RHE over a broad glycerol concentration range (10–100 mm) is reported, which is greater than threefolds than that of Ni2P. Furthermore, CuxNi2–xP can enhance the cleavage of C─C bond in glycerol, reducing the production of intermediates and thus attaining high selectivity of formate. In situ experiments integrated with density functional theory (DFT) calculation revealed that the doping of Cu can promote the generation of NiIII─OOH species and enrich glycerol substrates in local environments on CuxNi2–xP surface, thus facilitating reaction efficiency. Finally, the study designed a membrane‐free flow electrolyzer for continuous upgrading glycerol to formate, attaining 16.4 mmol of formate coupled with 0.68 L of H2 at 1.75 V in 8 h. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Advanced Energy Materials. 2024/09, Vol. 14, Issue 34, p1
  • Document Type:Article
  • Subject Area:Chemistry
  • Publication Date:2024
  • ISSN:1614-6832
  • DOI:10.1002/aenm.202401061
  • Accession Number:180042656
  • Copyright Statement:Copyright of Advanced Energy Materials 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.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.