Selective Photocatalytic Benzene Oxidation Using Iron‐Carbon Nitride Fragments Functionalized with Cyamelurate‐Like Groups

Abstract Carbon nitrides have emerged as promising supports for catalytically active metals in various chemical reactions. Among these, the selective oxidation of benzene to phenol stands out as particularly challenging within the chemical industry due to its traditionally low yields and complex reaction pathways. In our current investigation, we have focused on the synthesis of ionic carbon nitride fragments via a straightforward alkaline hydrolysis method. These fragments demonstrate a remarkable ability to stabilize iron cations within the carbon nitride structure (Frag‐Fe), resulting in a highly efficient photocatalyst for benzene oxidation. Employing hydrogen peroxide as the oxidant in a single‐step reaction, we achieved an impressive 47 % yield of phenol using Frag‐Fe at 12 hours, with negligible production of CO 2 as a byproduct. This compelling outcome underscores the effectiveness of our alkaline synthesis approach in generating carbon nitride‐based photocatalysts with exceptional activity for C−H oxidation reactions. Our findings not only contribute to the advancement of carbon nitride‐based catalysis, but also hold significant promise for the development of more sustainable and efficient chemical processes in the future.

Authors

Institutions

Publication Details

Journal
ChemPhotoChem
Published
2024-10-12
DOI
https://doi.org/10.1002/cptc.202400130
Citations
1
Primary Topic
Chemical Synthesis and Reactions
Type
article
Field-Weighted Citation Impact
0.25

Funders

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

Selective Photocatalytic Benzene Oxidation Using Iron‐Carbon Nitride Fragments Functionalized with Cyamelurate‐Like Groups

João Paulo de Mesquita, Walker Vinícius Ferreira do Carmo Batista, Vitor Gabriel Pastana, Marcos A. R. da Silva et al.
1 citations
ChemPhotoChem
Chemical Synthesis and Reactions
0.25
article

Selective Photocatalytic Benzene Oxidation Using Iron‐Carbon Nitride Fragments Functionalized with Cyamelurate‐Like Groups

João Paulo de Mesquita, Walker Vinícius Ferreira do Carmo Batista, Vitor Gabriel Pastana, Marcos A. R. da Silva, José Balena Gabriel Filho, Wanessa Lima de Oliveira, Taís dos Santos da Cruz, Valmor Roberto Mastelaro, Gabriel A. A. Diab, M. J. M. Pires, Ivo Freitas Teixeira, Eduarda Ferreira de Oliveira, Luana L. B. Silva
article en
1 citations

Abstract

Abstract Carbon nitrides have emerged as promising supports for catalytically active metals in various chemical reactions. Among these, the selective oxidation of benzene to phenol stands out as particularly challenging within the chemical industry due to its traditionally low yields and complex reaction pathways. In our current investigation, we have focused on the synthesis of ionic carbon nitride fragments via a straightforward alkaline hydrolysis method. These fragments demonstrate a remarkable ability to stabilize iron cations within the carbon nitride structure (Frag‐Fe), resulting in a highly efficient photocatalyst for benzene oxidation. Employing hydrogen peroxide as the oxidant in a single‐step reaction, we achieved an impressive 47 % yield of phenol using Frag‐Fe at 12 hours, with negligible production of CO 2 as a byproduct. This compelling outcome underscores the effectiveness of our alkaline synthesis approach in generating carbon nitride‐based photocatalysts with exceptional activity for C−H oxidation reactions. Our findings not only contribute to the advancement of carbon nitride‐based catalysis, but also hold significant promise for the development of more sustainable and efficient chemical processes in the future.

ChemPhotoChemVol. 9(1)
Universidade Federal de São Carlos (BR), Universidade de São Paulo (BR), Brazilian Agricultural Research Corporation (BR), Universidade Federal dos Vales do Jequitinhonha e Mucuri (BR)
Fundação de Amparo à Pesquisa do Estado de São Paulo, Conselho Nacional de Desenvolvimento Científico e Tecnológico, Fundação de Amparo à Pesquisa do Estado de Minas Gerais
Openalex Percentile: Top 48%
Chemical Synthesis and Reactions
0.25
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.