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Sustainability insights into photocatalytic CO2-to-CH4 conversion utilizing g-C3N4-based photocatalysts: Flaws, progress, and prospectives

  • Felipe de J. Silerio-Vázquez
  • , Babak Kakavandi
  • , Muhammad Tayyab
  • , Omirserik Baigenzhenov
  • , Ahmad Hosseini-Bandegharaei*
  • , José B. Proal-Nájera*
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

18 Scopus citations

Abstract

Atmospheric carbon dioxide (CO2) levels increased from 419.3 ppm (ppm) in 2023 to 425.4 ppm in 2024, 51 % above preindustrial levels, with emissions rising from 37.01 to 37.41 billion metric tons. This surge has driven record global temperatures, with annual mean surface temperatures reaching 1.45 °C and 1.55 °C above preindustrial averages in 2023 and 2024, intensifying glacial melt, sea-level rise, and extreme weather events. Photocatalytic CO2 reduction to methane (CH4) has emerged as a promising pathway to mitigate CO2 emissions while producing an energy carrier compatible with existing infrastructure. This review focuses on advancements in photocatalysts based on graphitic carbon nitride (g-C3N4) for photocatalytic CO2-to-CH4 conversion, offering a sustainability-centered perspective often overlooked in previous reviews. In addition to summarizing progress in dopant integration, heterojunction formation, and charge separation strategies, this work critically examines the environmental footprint of precursor materials and the energy consumption of thermal, microwave, and plasma-assisted synthesis methods. It highlights the potential of solar and LED light sources as scalable, energy-efficient alternatives to conventional lamps. The review also addresses practical challenges such as CO2 purification, impurity tolerance in exhaust-fed systems, and the feasibility of CH4 recovery and separation. Furthermore, it explores the integration of photocatalytic CO2 reduction with emerging approaches like direct air capture, electrocatalysis, biophotocatalysis, and computational tools including machine learning and multiphysics modeling. By aligning CH4 production performance with system-level sustainability criteria, this review establishes a framework to guide future developments toward environmentally viable photocatalytic CO2-to-CH4 technologies.

Original languageEnglish
Article number216901
JournalCoordination Chemistry Reviews
Volume542
DOIs
StatePublished - 1 Nov 2025

Bibliographical note

Publisher Copyright:
© 2025 Elsevier B.V.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy
  2. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Carbon neutrality
  • Carbon recycling
  • CO reduction
  • Greenhouse gas reduction
  • Photocatalytic efficiency
  • Solar fuels

ASJC Scopus subject areas

  • General Chemistry
  • Physical and Theoretical Chemistry
  • Inorganic Chemistry
  • Materials Chemistry

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