Microwave-Induced Deep Oxidation of Brilliant Green Using Carbon Nanotube-Supported Bismuth Ferrite

Microwave-induced oxidation has emerged as an effective approach for water purification. In this study, bismuth ferrite-supporting carbon nanotubes with strong microwave absorption and magnetism were successfully fabricated for the degradation of brilliant green. The reactivity of bismuth ferrite in microwave fields and the role of carbon nanotubes was revealed by systematic characterization methods. Our results demonstrated that the addition of bismuth ferrite in microwave-induced system can enhance the ability of microwave-induced absorption and further induce the degradation and mineralization of brilliant green within 10 min, significantly surpassing conventional heating methods. The brilliant green decomposition by bismuth ferrite in microwave-induced process is a heterogeneous process. Its excellent performance achieved by active species-trap experiments can be attributed to microwave-induced holes. Overall, this study presented a promising material for microwave-induced elimination of brilliant green and other dyes in aqueous media, which can provide the basis for the environmental application of microwave radiation to water purification and wastewater treatment.

Authors

Institutions

Publication Details

Journal
Catalysts
Published
2025-10-08
DOI
https://doi.org/10.3390/catal15100964
Primary Topic
Nanomaterials for catalytic reactions
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Microwave-Induced Deep Oxidation of Brilliant Green Using Carbon Nanotube-Supported Bismuth Ferrite

Hongzhe Chen, Shaogui Yang, Qiang Zhong, Haoran Liu et al.
Catalysts
Nanomaterials for catalytic reactions
article

Microwave-Induced Deep Oxidation of Brilliant Green Using Carbon Nanotube-Supported Bismuth Ferrite

Hongzhe Chen, Shaogui Yang, Qiang Zhong, Haoran Liu, Yan Xue
article en

Abstract

Microwave-induced oxidation has emerged as an effective approach for water purification. In this study, bismuth ferrite-supporting carbon nanotubes with strong microwave absorption and magnetism were successfully fabricated for the degradation of brilliant green. The reactivity of bismuth ferrite in microwave fields and the role of carbon nanotubes was revealed by systematic characterization methods. Our results demonstrated that the addition of bismuth ferrite in microwave-induced system can enhance the ability of microwave-induced absorption and further induce the degradation and mineralization of brilliant green within 10 min, significantly surpassing conventional heating methods. The brilliant green decomposition by bismuth ferrite in microwave-induced process is a heterogeneous process. Its excellent performance achieved by active species-trap experiments can be attributed to microwave-induced holes. Overall, this study presented a promising material for microwave-induced elimination of brilliant green and other dyes in aqueous media, which can provide the basis for the environmental application of microwave radiation to water purification and wastewater treatment.

CatalystsVol. 15(10)
University of Liverpool (GB), Nanjing Normal University (CN), Fujian Institute of Oceanography (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Government of Jiangsu Province, Jiangsu Provincial Department of Education, Six Talent Peaks Project in Jiangsu Province, Jiangsu Provincial Key Research and Development Program, Qinglan Project of Jiangsu Province of China
Openalex Percentile: Top 79%
Nanomaterials for catalytic reactions
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.