Effect of precursor on the solar photocatalytic production of hydrogen using C3N4

• Precursors control g-C 3 N 4 photocatalytic performance. • g-C 3 N 4 crystallinity fundamental for photocatalytic activity. • H 2 production controlled by a scavenger presence. • Triethanolamine and the photocatalyst valence band control the photocatalytic mechanism. The production of hydrogen via photocatalytic water splitting with semiconductors is considered an eco-friendly alternative to reduce the use of traditional fossil fuels. Diverse photocatalytic semiconductors have been studied for water splitting, highlighting graphitic carbon nitride (C 3 N 4 ) as one of the most promising due to its good characteristics of light harvesting and photocatalytic activity. In the present work, C 3 N 4 photocatalysts were synthesized by thermal decomposition of different precursors, namely, urea, melamine and dicyandiamide. These materials were subsequently tested for hydrogen production under simulated solar light irradiation. For this purpose, triethanolamine, lactic acid or ethanol were selected as scavengers to improve hydrogen production. Using Pt as cocatalyst, all the scavengers yielded significant hydrogen production. The best results were obtained with the photocatalyst sample prepared from urea and using triethanolamine as a scavenger (810 µmol H 2 ·g cat −1 ·h −1 ), while with lactic acid and ethanol, 427 and 114 µmol H 2 ·g cat −1 ·h −1 were obtained respectively. This order of production, based on the scavenger used, was due to the reactivity of the hydroxyl groups present in the molecular structure and the adsorption capacity on the catalyst surface. Triethanolamine stood out due to its multiple reactive sites, maximizing the capture of photogenerated holes. Based on the band structure of the C 3 N 4 and the radicals detection, it seems confirmed that the triethanolamine molecules consume the photo-generated holes from the valence band, thus improving the reduction of the water molecules by the photogenerated electrons located on the conduction band of C 3 N 4 . This semiconductor is postulated as a promising material for constructing novel photocatalysts, where not only the suitable band edge is a key factor for continuous hydrogen production, but also its electrochemical properties and its behavior when exposed to radiation need to be analyzed.

Authors

Institutions

Publication Details

Journal
Separation and Purification Technology
Published
2025-03-29
DOI
https://doi.org/10.1016/j.seppur.2025.132686
Citations
8
Primary Topic
Advanced Photocatalysis Techniques
Type
article
Field-Weighted Citation Impact
2.91

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Effect of precursor on the solar photocatalytic production of hydrogen using C3N4

Jorge Bedia, Carolina Belver, Lorena Gudiño, Juan J. Rodrı́guez
8 citations
Separation and Purification Technology
Advanced Photocatalysis Techniques
2.91
article

Effect of precursor on the solar photocatalytic production of hydrogen using C3N4

Jorge Bedia, Carolina Belver, Lorena Gudiño, Juan J. Rodrı́guez
article en
8 citations

Abstract

• Precursors control g-C 3 N 4 photocatalytic performance. • g-C 3 N 4 crystallinity fundamental for photocatalytic activity. • H 2 production controlled by a scavenger presence. • Triethanolamine and the photocatalyst valence band control the photocatalytic mechanism. The production of hydrogen via photocatalytic water splitting with semiconductors is considered an eco-friendly alternative to reduce the use of traditional fossil fuels. Diverse photocatalytic semiconductors have been studied for water splitting, highlighting graphitic carbon nitride (C 3 N 4 ) as one of the most promising due to its good characteristics of light harvesting and photocatalytic activity. In the present work, C 3 N 4 photocatalysts were synthesized by thermal decomposition of different precursors, namely, urea, melamine and dicyandiamide. These materials were subsequently tested for hydrogen production under simulated solar light irradiation. For this purpose, triethanolamine, lactic acid or ethanol were selected as scavengers to improve hydrogen production. Using Pt as cocatalyst, all the scavengers yielded significant hydrogen production. The best results were obtained with the photocatalyst sample prepared from urea and using triethanolamine as a scavenger (810 µmol H 2 ·g cat −1 ·h −1 ), while with lactic acid and ethanol, 427 and 114 µmol H 2 ·g cat −1 ·h −1 were obtained respectively. This order of production, based on the scavenger used, was due to the reactivity of the hydroxyl groups present in the molecular structure and the adsorption capacity on the catalyst surface. Triethanolamine stood out due to its multiple reactive sites, maximizing the capture of photogenerated holes. Based on the band structure of the C 3 N 4 and the radicals detection, it seems confirmed that the triethanolamine molecules consume the photo-generated holes from the valence band, thus improving the reduction of the water molecules by the photogenerated electrons located on the conduction band of C 3 N 4 . This semiconductor is postulated as a promising material for constructing novel photocatalysts, where not only the suitable band edge is a key factor for continuous hydrogen production, but also its electrochemical properties and its behavior when exposed to radiation need to be analyzed.

Separation and Purification TechnologyVol. 365
Universidad Autónoma de Madrid (ES)
Ministry of Communications and Information, Singapore, Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación
Openalex Percentile: Top 9%
Advanced Photocatalysis Techniques
2.91
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.