Statistical Design Approach for an Effective Catalyst in the Fenton Reaction in Case of Fe3O4-MOF MIL-88b (Fe) in Methylene Blue Degradation Kinetics

In this paper composites containing metal-organic framework MIL88b(Fe), nanoparticles magnetite (Fe3O4) or maghemite (γ-Fe2O3) modified by humic acids or ascorbic acid were synthesized and tested in the decomposition reaction of methylene blue. Analysis of predictive model based on multi-factor correlation analysis «physical-chemical properties — concentration of methylene blue after degradation» showed that in a line of selected parameters (initial iron concentration in sample, elemental cell parameter, Fe2+/Fe3+ ion ratio on sample surface, total iron ion released concentration, surface area specific, surface charge), a significant factor influencing Fenton reaction kinetics, is only the total concentration of the released iron ions (p-value = 0.0162). The influence of separate Fe2+ and Fe3+ ions and reaction time on the Fenton reaction kinetics was evaluated by multi-factor analysis. The results demonstrated that concentrations of released iron ions are statistically significant, with a square of the concentration of ions Fe2+ and the result of the reaction time to the concentration of ions Fe3+. A comparison of the sign and the coefficient values shows that an increase in ion concentration results in a reduction in methylene blue concentration, thereby accelerating the Fenton reaction rate, with Fe2+ ion concentration affecting more than Fe3+. The resulting model is proposed as a means of selecting a sample with the maximum Fenton reaction rate at a given point in time.

Authors

Institutions

Publication Details

Journal
Eurasian Journal of Chemistry
Published
2024-09-13
DOI
https://doi.org/10.31489/2959-0663/3-24-15
Citations
2
Primary Topic
Water Quality Monitoring and Analysis
Type
article
Field-Weighted Citation Impact
0.59
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Statistical Design Approach for an Effective Catalyst in the Fenton Reaction in Case of Fe3O4-MOF MIL-88b (Fe) in Methylene Blue Degradation Kinetics

Kamila A. Kydralieva, Джардималиева Гульжиан Искаковна, Daniel M. Saman, N. S. Tropskaya et al.
2 citations
Eurasian Journal of Chemistry
Water Quality Monitoring and Analysis
0.59
article

Statistical Design Approach for an Effective Catalyst in the Fenton Reaction in Case of Fe3O4-MOF MIL-88b (Fe) in Methylene Blue Degradation Kinetics

Kamila A. Kydralieva, Джардималиева Гульжиан Искаковна, Daniel M. Saman, N. S. Tropskaya, Artur A. Dzeranov, Rose K. Baimuratova, Lyubov Bondarenko
article en
2 citations

Abstract

In this paper composites containing metal-organic framework MIL88b(Fe), nanoparticles magnetite (Fe3O4) or maghemite (γ-Fe2O3) modified by humic acids or ascorbic acid were synthesized and tested in the decomposition reaction of methylene blue. Analysis of predictive model based on multi-factor correlation analysis «physical-chemical properties — concentration of methylene blue after degradation» showed that in a line of selected parameters (initial iron concentration in sample, elemental cell parameter, Fe2+/Fe3+ ion ratio on sample surface, total iron ion released concentration, surface area specific, surface charge), a significant factor influencing Fenton reaction kinetics, is only the total concentration of the released iron ions (p-value = 0.0162). The influence of separate Fe2+ and Fe3+ ions and reaction time on the Fenton reaction kinetics was evaluated by multi-factor analysis. The results demonstrated that concentrations of released iron ions are statistically significant, with a square of the concentration of ions Fe2+ and the result of the reaction time to the concentration of ions Fe3+. A comparison of the sign and the coefficient values shows that an increase in ion concentration results in a reduction in methylene blue concentration, thereby accelerating the Fenton reaction rate, with Fe2+ ion concentration affecting more than Fe3+. The resulting model is proposed as a means of selecting a sample with the maximum Fenton reaction rate at a given point in time.

Eurasian Journal of ChemistryVol. 29(3 (115))
Research Institute of Emergency Care (RU), Institute of Problems of Chemical Physics (RU), Moscow Aviation Institute (RU)
Openalex Percentile: Top 30%
Water Quality Monitoring and Analysis
0.59
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.