Treatment of Sugar Industry Wastewater via Fenton Oxidation with Zero-Valent Iron

Ceren Orak

doi:10.17776/csj.1328817

EN

Treatment of Sugar Industry Wastewater via Fenton Oxidation with Zero-Valent Iron

Abstract

The sugar industry is a significant contributor to wastewater production, primarily due to its substantial water usage. The treatment and reuse of this wastewater have become pressing concerns. In the present study, sugar industry wastewater was treated via Fenton oxidation using zero-valent iron (ZVI). The study focused on assessing the impact of key reaction parameters, namely pH, ZVI amount, [H2O2]0 on the removal of TOC. Optimal reaction conditions for the Fenton oxidation process were identified, with a pH of 3.5, 2 g/L of ZVI, and 4 mM of H2O2, resulting in nearly 65% of TOC removal. The kinetic study revealed that the observed reaction adhered to a second-order kinetic reaction model. Furthermore, the activation energy for this observed reaction was determined as 49.14 kJ/mol. These findings suggest that Fenton oxidation, utilizing ZVI, holds promise as an effective method for treating wastewater originating from the sugar industry.

Keywords

Thanks

I would like to thank Assoc. Prof. Dr. Aslı Yüksel Özşen and Assoc. Prof. Dr. Gülin Ersöz for allowing me to use their laboratory infrastructure to carry out this study.

References

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Details

Primary Language

English

Subjects

Separation Science , Free Radical Chemistry

Journal Section

Research Article

Authors

Ceren Orak ^*
0000-0001-8864-5943
Türkiye

Publication Date

March 28, 2024

Submission Date

July 17, 2023

Acceptance Date

January 2, 2024

Published in Issue

Year 2024 Volume: 45 Number: 1

DOI

https://doi.org/10.17776/csj.1328817

IZ

https://izlik.org/JA74WF36AD

Cite

RIS / Bibtex

APA

Orak, C. (2024). Treatment of Sugar Industry Wastewater via Fenton Oxidation with Zero-Valent Iron. Cumhuriyet Science Journal, 45(1), 100-104. https://doi.org/10.17776/csj.1328817

Predictive Modeling of Photocatalytic Hydrogen Production: Integrating Experimental Insights with Machine Learning on Fe/g-C3N4 Catalysts

Industrial & Engineering Chemistry Research

https://doi.org/10.1021/acs.iecr.4c03919

Waste-to-energy insight: Coupled photocatalytic amoxicillin degradation and hydrogen evolution with NiFe-LDH

Balıkesir Üniversitesi Fen Bilimleri Enstitüsü Dergisi

https://doi.org/10.25092/baunfbed.1692004

Treatment of Sugar Industry Wastewater via Fenton Oxidation with Zero-Valent Iron

Öz

Treatment of Sugar Industry Wastewater via Fenton Oxidation with Zero-Valent Iron

Abstract

Keywords

Thanks

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite

Cited By

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Predictive Modeling of Photocatalytic Hydrogen Production: Integrating Experimental Insights with Machine Learning on Fe/g-C3N4 Catalysts

Waste-to-energy insight: Coupled photocatalytic amoxicillin degradation and hydrogen evolution with NiFe-LDH