Research Article

Optimization of Coagulation Process Parameters for Reactive Red 120 Dye Using Ferric Chloride via Response Surface Methodology

Volume: 8 Number: 5 September 15, 2025
TR EN

Optimization of Coagulation Process Parameters for Reactive Red 120 Dye Using Ferric Chloride via Response Surface Methodology

Abstract

In this study, the removal of Reactive Red 120, a dye commonly present in textile wastewater, was investigated using Ferric Chloride (FeCl₃) as a coagulant. Process optimization was carried out through Response Surface Methodology based on a four-factor experimental design, considering initial pH (2–12), coagulant dose (100–500 mg/L), mixing speed (50–250 rpm), and initial dye concentration (25–250 mg/L). A second-order polynomial model was developed and evaluated by ANOVA to assess the individual and interactive effects of these parameters on color removal efficiency. The maximum removal efficiency of 96.28% was obtained at pH 3, coagulant dose 400 mg/L, mixing speed 100 rpm, and dye concentration 200 mg/L. The Response Surface Methodology model showed good agreement with the experimental data and predicted a theoretical maximum efficiency of 98.33% under optimized conditions. Overall, the results confirm that FeCl₃-based coagulation, when optimized by Response Surface Methodology, is a robust and scalable pretreatment option for textile wastewater, capable of achieving near-complete decolorization and providing practical operating ranges for implementation.

Keywords

Ethical Statement

Ethics committee approval was not required for this study because of there was no study on animals or humans.

References

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Details

Primary Language

English

Subjects

Clean Production Technologies

Journal Section

Research Article

Early Pub Date

September 11, 2025

Publication Date

September 15, 2025

Submission Date

August 16, 2025

Acceptance Date

September 9, 2025

Published in Issue

Year 2025 Volume: 8 Number: 5

APA
Tırınk, S. (2025). Optimization of Coagulation Process Parameters for Reactive Red 120 Dye Using Ferric Chloride via Response Surface Methodology. Black Sea Journal of Engineering and Science, 8(5), 1595-1604. https://doi.org/10.34248/bsengineering.1766799
AMA
1.Tırınk S. Optimization of Coagulation Process Parameters for Reactive Red 120 Dye Using Ferric Chloride via Response Surface Methodology. BSJ Eng. Sci. 2025;8(5):1595-1604. doi:10.34248/bsengineering.1766799
Chicago
Tırınk, Sevtap. 2025. “Optimization of Coagulation Process Parameters for Reactive Red 120 Dye Using Ferric Chloride via Response Surface Methodology”. Black Sea Journal of Engineering and Science 8 (5): 1595-1604. https://doi.org/10.34248/bsengineering.1766799.
EndNote
Tırınk S (September 1, 2025) Optimization of Coagulation Process Parameters for Reactive Red 120 Dye Using Ferric Chloride via Response Surface Methodology. Black Sea Journal of Engineering and Science 8 5 1595–1604.
IEEE
[1]S. Tırınk, “Optimization of Coagulation Process Parameters for Reactive Red 120 Dye Using Ferric Chloride via Response Surface Methodology”, BSJ Eng. Sci., vol. 8, no. 5, pp. 1595–1604, Sept. 2025, doi: 10.34248/bsengineering.1766799.
ISNAD
Tırınk, Sevtap. “Optimization of Coagulation Process Parameters for Reactive Red 120 Dye Using Ferric Chloride via Response Surface Methodology”. Black Sea Journal of Engineering and Science 8/5 (September 1, 2025): 1595-1604. https://doi.org/10.34248/bsengineering.1766799.
JAMA
1.Tırınk S. Optimization of Coagulation Process Parameters for Reactive Red 120 Dye Using Ferric Chloride via Response Surface Methodology. BSJ Eng. Sci. 2025;8:1595–1604.
MLA
Tırınk, Sevtap. “Optimization of Coagulation Process Parameters for Reactive Red 120 Dye Using Ferric Chloride via Response Surface Methodology”. Black Sea Journal of Engineering and Science, vol. 8, no. 5, Sept. 2025, pp. 1595-04, doi:10.34248/bsengineering.1766799.
Vancouver
1.Sevtap Tırınk. Optimization of Coagulation Process Parameters for Reactive Red 120 Dye Using Ferric Chloride via Response Surface Methodology. BSJ Eng. Sci. 2025 Sep. 1;8(5):1595-604. doi:10.34248/bsengineering.1766799

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