Photocatalytic performance of graphitic carbon nitride (g-C 3 N 4 ): tuning factors, mechanisms, challenges, and opportunities

Abstract Graphitic carbon nitride (g-C3N4) has emerged as the most significant metal-free photocatalyst owing to its suitable band gap, chemical stability, and low-cost synthesis. However, its practical photocatalytic performance is limited by rapid charge recombination, low surface area, and insufficient visible-light absorption. This review provides a comprehensive and critical analysis of the key factors governing the photocatalytic activity of g-C 3 N 4 and the strategies employed to tune its performance. Fundamental properties like electronic structure and photocatalytic mechanisms are first discussed to establish a theoretical foundation. Subsequently, various tuning approaches like morphology control, heteroatom doping, heterojunction engineering, defect creation, co-catalyst loading, and synthesis optimization are systematically analyzed with mechanistic insights. A comparative evaluation highlights the advantages and limitations of each strategy. The review further explores major applications in environmental remediation, hydrogen evolution, CO 2 reduction, and pollutant degradation. Finally, critical challenges like scalability, stability, and mechanistic ambiguity are addressed followed by future research directions. This work aims to provide a clear roadmap for the rational design of high-performance g-C3N4–based photocatalysts.

Authors

Institutions

Publication Details

Journal
Reviews in Inorganic Chemistry
Published
2026-10-28
DOI
https://doi.org/10.1515/revic-2026-0060
Primary Topic
Advanced Photocatalysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Photocatalytic performance of graphitic carbon nitride (g-C 3 N 4 ): tuning factors, mechanisms, challenges, and opportunities

Muhammad Arif
2 links
Reviews in Inorganic Chemistry
Advanced Photocatalysis Techniques
article

Photocatalytic performance of graphitic carbon nitride (g-C 3 N 4 ): tuning factors, mechanisms, challenges, and opportunities

Muhammad Arif
article en

Abstract

Abstract Graphitic carbon nitride (g-C3N4) has emerged as the most significant metal-free photocatalyst owing to its suitable band gap, chemical stability, and low-cost synthesis. However, its practical photocatalytic performance is limited by rapid charge recombination, low surface area, and insufficient visible-light absorption. This review provides a comprehensive and critical analysis of the key factors governing the photocatalytic activity of g-C 3 N 4 and the strategies employed to tune its performance. Fundamental properties like electronic structure and photocatalytic mechanisms are first discussed to establish a theoretical foundation. Subsequently, various tuning approaches like morphology control, heteroatom doping, heterojunction engineering, defect creation, co-catalyst loading, and synthesis optimization are systematically analyzed with mechanistic insights. A comparative evaluation highlights the advantages and limitations of each strategy. The review further explores major applications in environmental remediation, hydrogen evolution, CO 2 reduction, and pollutant degradation. Finally, critical challenges like scalability, stability, and mechanistic ambiguity are addressed followed by future research directions. This work aims to provide a clear roadmap for the rational design of high-performance g-C3N4–based photocatalysts.

Reviews in Inorganic Chemistry
University of Management and Technology (PK)
Openalex Percentile: Top 35%
Advanced Photocatalysis Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon