VISIBLE-LIGHT-DRIVEN PHOTOCATALYTIC DEGRADATION OF PHENOL USING ZnO, α-FE₂O₃, AND ZnFE₂O₄-BASED COMPOSITE PHOTOCATALYSTS

Phenol and its derivatives are persistent, toxic organic pollutants commonly found in industrial wastewater. This study investigates the synthesis, characterization, and visible-light photocatalytic activity of ZnO, α-Fe₂O₃, and ZnFe₂O₄-based composites (75Zn:25Fe, 50Zn:50Fe, and 25Zn:75Fe) for the degradation of phenol in aqueous solution. The photocatalysts were prepared via a simple co-precipitation method followed by calcination at 1000 °C and characterized by X-ray fluorescence (XRF), X-ray diffraction (XRD), and UV-V is spectroscopy. Photocatalytic experiments were conducted under natural sunlight and a 500 W halogen lamp (visible light) using 100 mg L⁻¹ phenol solutions. Among the catalysts, pure α-Fe₂O₃ exhibited the highest photocatalytic efficiency, achieving 86% phenol degradation with a rate constant of 0.3108 min⁻¹. The activity order was α-Fe₂O₃ > 25Zn:75Fe > 50Zn:50Fe > 75Zn:25Fe > ZnO. Optimal conditions included acidic pH, 1.5 g L⁻¹ catalyst loading, and low initial phenol concentration. Adsorption played a significant role and degradation followed the Langmuir–Hinshelwood kinetic model. These results demonstrated that low-cost, visible-light-active α-Fe₂O₃-based materials are promising for the treatment of phenolic wastewater using solar or artificial visible light.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-30
DOI
https://doi.org/10.5281/zenodo.20280490
Primary Topic
Iron oxide chemistry and applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

VISIBLE-LIGHT-DRIVEN PHOTOCATALYTIC DEGRADATION OF PHENOL USING ZnO, α-FE₂O₃, AND ZnFE₂O₄-BASED COMPOSITE PHOTOCATALYSTS

Johnson Tunde Fatuase, Benjamin Onyebuchi Udoye
Zenodo (CERN European Organization for Nuclear Research)
Iron oxide chemistry and applications
article

VISIBLE-LIGHT-DRIVEN PHOTOCATALYTIC DEGRADATION OF PHENOL USING ZnO, α-FE₂O₃, AND ZnFE₂O₄-BASED COMPOSITE PHOTOCATALYSTS

Johnson Tunde Fatuase, Benjamin Onyebuchi Udoye
article en

Abstract

Phenol and its derivatives are persistent, toxic organic pollutants commonly found in industrial wastewater. This study investigates the synthesis, characterization, and visible-light photocatalytic activity of ZnO, α-Fe₂O₃, and ZnFe₂O₄-based composites (75Zn:25Fe, 50Zn:50Fe, and 25Zn:75Fe) for the degradation of phenol in aqueous solution. The photocatalysts were prepared via a simple co-precipitation method followed by calcination at 1000 °C and characterized by X-ray fluorescence (XRF), X-ray diffraction (XRD), and UV-V is spectroscopy. Photocatalytic experiments were conducted under natural sunlight and a 500 W halogen lamp (visible light) using 100 mg L⁻¹ phenol solutions. Among the catalysts, pure α-Fe₂O₃ exhibited the highest photocatalytic efficiency, achieving 86% phenol degradation with a rate constant of 0.3108 min⁻¹. The activity order was α-Fe₂O₃ > 25Zn:75Fe > 50Zn:50Fe > 75Zn:25Fe > ZnO. Optimal conditions included acidic pH, 1.5 g L⁻¹ catalyst loading, and low initial phenol concentration. Adsorption played a significant role and degradation followed the Langmuir–Hinshelwood kinetic model. These results demonstrated that low-cost, visible-light-active α-Fe₂O₃-based materials are promising for the treatment of phenolic wastewater using solar or artificial visible light.

Zenodo (CERN European Organization for Nuclear Research)
Federal Polytechnic Oko (NG)
Clean water and sanitation
Openalex Percentile: Top 17%
Iron oxide chemistry and 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.