Box–Behnken Experimental Design for the Removal of Chemical Oxygen Demand in Food Processing Wastewater by Hybrid Titania‐Based Composite

ABSTRACT A hybrid composite of titania, alumina, and carbon nanotubes (TiO 2 /Al 2 O 3 /CNT) was synthesized and applied as a photocatalyst for the degradation of organic pollutants in sauce processing wastewater. The structural, morphological, and surface properties of the composite were characterized using Fourier‐transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), Brunauer–Emmett–Teller (BET) surface area analysis, and X‐ray diffraction (XRD). Photocatalytic performance was evaluated under ultraviolet light‐emitting diode (UV‐LED) irradiation. Key operational parameters, namely catalyst dosage, irradiation time, and solution pH, were optimized using a Box–Behnken design (BBD). The resulting quadratic models exhibited high predictive accuracy ( R 2 > 0.986), and under optimized conditions, chemical oxygen demand (COD) removal reached up to 75%. Kinetic analysis confirmed that the ternary TiO 2 ‐based composite outperformed both binary and single‐phase systems, highlighting its potential as an effective photocatalyst for treating industrial organic wastewater.

Authors

Institutions

Publication Details

Journal
Environmental Quality Management
Published
2025-12-01
DOI
https://doi.org/10.1002/tqem.70247
Primary Topic
TiO2 Photocatalysis and Solar Cells
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Box–Behnken Experimental Design for the Removal of Chemical Oxygen Demand in Food Processing Wastewater by Hybrid Titania‐Based Composite

Mahani Yusoff, Asanah Radhi, Rozidaini Mohd Ghazi, Nik Raihan Nik Yusoff et al.
Environmental Quality Management
TiO2 Photocatalysis and Solar Cells
article

Box–Behnken Experimental Design for the Removal of Chemical Oxygen Demand in Food Processing Wastewater by Hybrid Titania‐Based Composite

Mahani Yusoff, Asanah Radhi, Rozidaini Mohd Ghazi, Nik Raihan Nik Yusoff, Siti Munirah Abd Wahib
article en

Abstract

ABSTRACT A hybrid composite of titania, alumina, and carbon nanotubes (TiO 2 /Al 2 O 3 /CNT) was synthesized and applied as a photocatalyst for the degradation of organic pollutants in sauce processing wastewater. The structural, morphological, and surface properties of the composite were characterized using Fourier‐transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), Brunauer–Emmett–Teller (BET) surface area analysis, and X‐ray diffraction (XRD). Photocatalytic performance was evaluated under ultraviolet light‐emitting diode (UV‐LED) irradiation. Key operational parameters, namely catalyst dosage, irradiation time, and solution pH, were optimized using a Box–Behnken design (BBD). The resulting quadratic models exhibited high predictive accuracy ( R 2 > 0.986), and under optimized conditions, chemical oxygen demand (COD) removal reached up to 75%. Kinetic analysis confirmed that the ternary TiO 2 ‐based composite outperformed both binary and single‐phase systems, highlighting its potential as an effective photocatalyst for treating industrial organic wastewater.

Environmental Quality ManagementVol. 35(2)
Universiti Malaysia Kelantan (MY)
Universiti Malaysia Kelantan
Openalex Percentile: Top 71%
TiO2 Photocatalysis and Solar Cells
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.

Box–Behnken Experimental Design for the Removal of Chemical Oxygen Demand in Food Processing Wastewater by Hybrid Titania‐Based Composite — Mahani Yusoff, Asanah Radhi, et al. · Environmental Quality Management (2025) | TGRS Research Map | TGRS