Photocatalytic treatment of AO7 and real textile wastewater using green-synthesized ZnO nanoparticles: RSM and Taguchi approach

L. peel extract, and their photocatalytic performances for the removal of Acid Orange 7 (AO7) dye and real textile wastewater were investigated. The effects of pH, initial dye concentration, and catalyst dosage on AO7 removal were optimized using a Box-Behnken experimental design and Response Surface Methodology (RSM). Under the optimum conditions (pH 10, initial dye concentration of 10 ppm, and catalyst dosage of 0.13 g), 100% dye removal was achieved within 270 min. The photocatalytic treatment of real textile wastewater was optimized using a Taguchi experimental design, and a color removal efficiency of 98.1% was achieved under the optimum conditions (pH 7, constant wastewater volume of 50 mL, and catalyst dosage of 0.13 g). Additionally, radical scavenging experiments performed to elucidate the photocatalytic mechanism indicated that hydroxyl radicals (•OH) play a significant role in the photocatalytic degradation of AO7. The synthesized ZnO nanoparticles exhibited high photocatalytic stability, good reusability and acted as efficient photocatalysts even under low-energy UV light conditions. Overall, the green-synthesized ZnO nanoparticles demonstrated promising potential as an effective photocatalyst for the removal of dyes and color from real textile wastewater.

Authors

Institutions

Publication Details

Journal
International Journal of Phytoremediation
Published
2026-11-04
DOI
https://doi.org/10.1080/15226514.2026.2755977
Primary Topic
Advanced Photocatalysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Photocatalytic treatment of AO7 and real textile wastewater using green-synthesized ZnO nanoparticles: RSM and Taguchi approach

Remziye Aysun Kepekçi, Olcayto Keskinkan, Sultan TÜRKOĞLU
International Journal of Phytoremediation
Advanced Photocatalysis Techniques
article

Photocatalytic treatment of AO7 and real textile wastewater using green-synthesized ZnO nanoparticles: RSM and Taguchi approach

Remziye Aysun Kepekçi, Olcayto Keskinkan, Sultan TÜRKOĞLU
article en

Abstract

L. peel extract, and their photocatalytic performances for the removal of Acid Orange 7 (AO7) dye and real textile wastewater were investigated. The effects of pH, initial dye concentration, and catalyst dosage on AO7 removal were optimized using a Box-Behnken experimental design and Response Surface Methodology (RSM). Under the optimum conditions (pH 10, initial dye concentration of 10 ppm, and catalyst dosage of 0.13 g), 100% dye removal was achieved within 270 min. The photocatalytic treatment of real textile wastewater was optimized using a Taguchi experimental design, and a color removal efficiency of 98.1% was achieved under the optimum conditions (pH 7, constant wastewater volume of 50 mL, and catalyst dosage of 0.13 g). Additionally, radical scavenging experiments performed to elucidate the photocatalytic mechanism indicated that hydroxyl radicals (•OH) play a significant role in the photocatalytic degradation of AO7. The synthesized ZnO nanoparticles exhibited high photocatalytic stability, good reusability and acted as efficient photocatalysts even under low-energy UV light conditions. Overall, the green-synthesized ZnO nanoparticles demonstrated promising potential as an effective photocatalyst for the removal of dyes and color from real textile wastewater.

International Journal of Phytoremediation
Cukurova University (TR), Gaziantep University (TR)
Openalex Percentile: Top 36%
Advanced Photocatalysis Techniques
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.

Laika access coming soon