Skip to main navigation Skip to search Skip to main content

Oxygen vacancy-engineered BaTiO3/g-C3N4 nanocomposites for highly selective and efficient photocatalytic CO2 reduction to CH4

  • Fangyuan Xing
  • , Jun Yan Li
  • , Qian Yi Li
  • , Yongliang Shen
  • , Chengzhi Wang
  • , Haibo Jin
  • , Jingbo Li*
  • *Corresponding author for this work
  • Beijing Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

Achieving high selectivity and high conversion in the photocatalytic reduction of CO2 to a single fuel remains a significant challenge, primarily due to the multitude of potential products and their similar reduction potentials. Herein, we design a photocatalyst composed of g-C3N4-supported BaTiO3 (BTO) nanoparticles coated with an oxygen vacancy (VO)-rich amorphous layer, denoted as VO-BTO/CN. This catalyst achieves a CH4 yield of 26.8 μmol g−1 h−1 and nearly 100% exclusive selectivity for CH4 over CO in photocatalytic CO2 reduction, without the need for any sacrificial agents or cocatalysts. Both experimental and theoretical calculation results demonstrate that surface VO and adjacent low-valence Ti3+ ions in BTO can efficiently adsorb and activate CO2 molecules via the formation of a −C−O⋯⋮⋮−Ti−VO− adsorption intermediate. This configuration plays a pivotal role in achieving high selectivity: it not only lowers the overall activation energy barrier but also steers the reaction pathway toward CH4 formation rather than CO. As a result, VO-BTO/CN achieves nearly 100% selectivity for visible-light-driven CO2 reduction to CH4. This work highlights the great potential of dual-active-site design through vacancy engineering for developing advanced photocatalysts toward efficient and selective CO2 reduction.

Original languageEnglish
Article number175095
JournalChemical Engineering Journal
Volume534
DOIs
Publication statusPublished - 15 Apr 2026

Keywords

  • Adsorption configuration
  • High CH selectivity
  • Oxygen vacancy
  • Photocatalytic CO reduction

Fingerprint

Dive into the research topics of 'Oxygen vacancy-engineered BaTiO3/g-C3N4 nanocomposites for highly selective and efficient photocatalytic CO2 reduction to CH4'. Together they form a unique fingerprint.

Cite this