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Seyed Mehdi Sajjadi

Seyed Mehdi Sajjadi

Academic rank: Assistant Professor
ORCID: 0000-0003-0256-3854
Education: PhD.
ScopusId:
HIndex: 13/00
Faculty: Faculty of Interdisciplinary Sciences and Technologies
Address:
Phone: 04134783424

Research

Title
Evaluation of the various adsorption isotherm models for the photocatalytic removal of methylene blue from the wastewater by graphene oxide/TiO2/SiO2
Type
JournalPaper
Keywords
Graphene oxide/TiO2/SiO2 photocatalyst, Methylene blue, Wastewater, Isotherms
Year
2024
Journal Journal of Applied Research in Water and Wastewater
DOI
Researchers Seyed Mehdi Sajjadi

Abstract

Treatment of wastewater is a crucial step in reducing pollution from the textile and dyeing industries. One of the best techniques for dye removal is photocatalytic processes, and TiO2 is frequently employed in numerous wastewater treatment applications. In this study, different adsorption isotherm models and experimental data from the removal of the methylene blue dye from wastewater by applying GO/TiO2/SiO2 nanocomposite were compared. The correlation coefficient values (R2) for the Langmuir isotherm type 1 (Hanes-Woolf), Temkin, and Freundlich were determined to be, respectively, 0.9957, 0.9823, and 0.9515. Additionally, the R2 values for the Redlich-Peterson, Sips, and Toth isotherms models were 0.9575, 0.9626, and 0.9629, respectively. Therefore, Langmuir isotherm type 1 has the highest R2 and is the best model for surface adsorption of methylene blue on GO/TiO2/SiO2 photocatalyst. As a result, monolayer adsorption was most likely dominating during the adsorption. Furthermore, this photocatalyst proved suitable for lower methylene blue concentrations and systems with lower temperature sensitivity.