Sulfone‐Functionalized Covalent Heptazine Polymeric Networks for Selective CO <sub>2</sub> Photoreduction in Water: Mechanistic Insights into Sacrificial Donor‐Dependent Selectivity

Abstract The urgent need to mitigate CO 2 emissions and develop sustainable energy alternatives has driven extensive research into photocatalytic CO 2 reduction. In this study, a rationally designed sulfone‐functionalized covalent heptazine polymeric networks (HSF) that achieves highly efficient and selective CO 2 photoreduction in pure water is reported. The introduction of sulfone units enhances photogenerates charge separation, optimizes CO 2 adsorption, and improves protonation properties, leading to a remarkable CO production rate in pure water with &gt;99% selectivity under visible light irradiation. An exceptionally high apparent quantum yield (AQY) of 32.13% at λ = 400 nm has been achieved‐ the highest ever reported to date for any metal‐free photocatalyst. Intriguingly, by introducing triethylamine (TEA) as a sacrificial electron donor, the product selectivity shifts from CO to CH 4 , achieving 80% CH 4 selectivity. Mechanistic insights from in situ transient absorption spectroscopy and density functional theory (DFT) calculations reveal that the sulfone moiety plays a pivotal role in facilitating charge carrier dynamics and modulating the adsorption configuration of CO 2 . Furthermore, it shows that TEA not only acts as a hole scavenger but also functions as a proton transfer agent, enabling efficient protonation and the stepwise reduction of *CO to CH 4 .

Authors

Institutions

Publication Details

Journal
Advanced Functional Materials
Published
2025-09-29
DOI
https://doi.org/10.1002/adfm.202520764
Primary Topic
Covalent Organic Framework Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sulfone‐Functionalized Covalent Heptazine Polymeric Networks for Selective CO 2 Photoreduction in Water: Mechanistic Insights into Sacrificial Donor‐Dependent Selectivity

Manvi Sachdeva, Himanshu Bhatt, Kamalakannan Kailasam, Hirendra N. Ghosh et al.
Advanced Functional Materials
Covalent Organic Framework Applications
article

Sulfone‐Functionalized Covalent Heptazine Polymeric Networks for Selective CO 2 Photoreduction in Water: Mechanistic Insights into Sacrificial Donor‐Dependent Selectivity

Manvi Sachdeva, Himanshu Bhatt, Kamalakannan Kailasam, Hirendra N. Ghosh, Amit Kumar, Dibyajyoti Ghosh, Neha Saini, Bhawna Kamboj
article en

Abstract

Abstract The urgent need to mitigate CO 2 emissions and develop sustainable energy alternatives has driven extensive research into photocatalytic CO 2 reduction. In this study, a rationally designed sulfone‐functionalized covalent heptazine polymeric networks (HSF) that achieves highly efficient and selective CO 2 photoreduction in pure water is reported. The introduction of sulfone units enhances photogenerates charge separation, optimizes CO 2 adsorption, and improves protonation properties, leading to a remarkable CO production rate in pure water with &gt;99% selectivity under visible light irradiation. An exceptionally high apparent quantum yield (AQY) of 32.13% at λ = 400 nm has been achieved‐ the highest ever reported to date for any metal‐free photocatalyst. Intriguingly, by introducing triethylamine (TEA) as a sacrificial electron donor, the product selectivity shifts from CO to CH 4 , achieving 80% CH 4 selectivity. Mechanistic insights from in situ transient absorption spectroscopy and density functional theory (DFT) calculations reveal that the sulfone moiety plays a pivotal role in facilitating charge carrier dynamics and modulating the adsorption configuration of CO 2 . Furthermore, it shows that TEA not only acts as a hole scavenger but also functions as a proton transfer agent, enabling efficient protonation and the stepwise reduction of *CO to CH 4 .

Advanced Functional MaterialsVol. 36(15)
National Institute of Science Education and Research (IN), Indian Institute of Science Education and Research Mohali (IN), Indian Institute of Technology Delhi (IN)
Openalex Percentile: Top 79%
Covalent Organic Framework Applications
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.