Thiele modulus having regard to the anomalous diffusion in a catalyst pellet

Zhokh, Alexey; Strizhak, P. E.

doi:10.1016/j.chaos.2018.02.016

Cited by 7 publications

(2 citation statements)

References 45 publications

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“…The significance of internal diffusion was evaluated by the Thiele modulus (Φ) (Text S1), which can reflect the ratio of maximum reaction rate to maximum diffusion rate. − The effective diffusion coefficient of the solutes in pores is typically ∼10 –6 cm 2 /s . The pore length can be approximately equal to one-third of the radius of the spherical particle .…”

Section: Results and Discussionmentioning

confidence: 99%

Electron Redistribution in Iridium–Iron Dual-Metal-Atom Active Sites Enables Synergistic Enhancement for H₂O₂ Decomposition

Wang,

Peng,

Zhu

et al. 2024

ACS Nano

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Developing efficient heterogeneous H 2 O 2 decomposition catalysts under neutral conditions is of great importance in many fields such as clinical therapy, sewage treatment, and semiconductor manufacturing but still suffers from low intrinsic activity and ambiguous mechanism understanding. Herein, we constructed activated carbon supported with an Ir−Fe dual-metal-atom active sites catalyst (IrFe-AC) by using a facile method based on a pulsed laser. The electron redistribution in Ir−Fe dual-metal-atom active sites leads to the formation of double reductive metal active sites, which can strengthen the metal−H 2 O 2 interaction and boost the H 2 O 2 decomposition performance of Ir−Fe dual-metal-atom active sites. Ir−Fe dual-metal-atom active sites show a high second-order reaction rate constant of 3.53 × 10 6 M −1 •min −1 , which is ∼10 6 times higher than that of Fe 3 O 4 . IrFe-AC is effective in removing excess intracellular reactive oxygen species, protecting DNA, and reducing inflammation under oxidative stress, indicating its therapeutic potential against oxidative stress-related diseases. This study could advance the mechanism understanding of H 2 O 2 decomposition by heterogeneous catalysts and provide guidance for the rational design of high-performance catalysts for H 2 O 2 decomposition.

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Section: Results and Discussionmentioning

confidence: 99%

Electron Redistribution in Iridium–Iron Dual-Metal-Atom Active Sites Enables Synergistic Enhancement for H₂O₂ Decomposition

Wang,

Peng,

Zhu

et al. 2024

ACS Nano

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“…Therefore, the degree of internal diffusion reflects the utilization of the catalyst. As a function of the Thiele modulus ∅, the EF directly represents the progress of the internal diffusion 47 : (a) When the catalytic reaction is in the area of low utilization, the transfer process transitions from external diffusion to internal diffusion; however, the internal diffusion is not evident at the beginning. At this time, the effective reaction area of the catalyst particles is small, thus the utilization degree of the catalyst is low.…”

Section: Catalyst Utilizationmentioning

confidence: 99%

A novel predicting method on degree of catalytic reaction in fuel cells

Pan

et al. 2020

Int J Energy Res

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Summary An accurate assessment of the utilization of a catalyst for fuel cells is beneficial for guiding the optimization of working conditions and adjustment of parameters. In this study, a composite model containing the numerical model of catalyst layers and improved support vector machine (SVM) is proposed to predict the catalyst utilization. The effectiveness factor of the field of catalytic reaction engineering is introduced into the numerical model. The adaptive learning factor and the differential evolution strategy are introduced to improve the ability of generalization and robustness of the distinguishing method in the SVM. The results indicate that the radial basis function is well‐suited as the kernel function of the SVM, and the accuracy of the prediction in the anode and cathode can be increased up to 99.31% and 99.65%, respectively. The increasing transfer coefficient leads to an enhancement of the catalytic reaction, and the particle size of the catalyst impacts the catalytic reaction mainly by changing the pattern of internal diffusion. Pressure has little impact on the Knudsen diffusion.

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Modeling Riemann–Liouville fractional differential equations for diffusion and reaction in fractal porous media

Zhang

Xiu³

et al. 2021

J Math Chem

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Thiele modulus having regard to the anomalous diffusion in a catalyst pellet

Cited by 7 publications

References 45 publications

Electron Redistribution in Iridium–Iron Dual-Metal-Atom Active Sites Enables Synergistic Enhancement for H₂O₂ Decomposition

Electron Redistribution in Iridium–Iron Dual-Metal-Atom Active Sites Enables Synergistic Enhancement for H₂O₂ Decomposition

A novel predicting method on degree of catalytic reaction in fuel cells

Modeling Riemann–Liouville fractional differential equations for diffusion and reaction in fractal porous media

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Thiele modulus having regard to the anomalous diffusion in a catalyst pellet

Cited by 7 publications

References 45 publications

Electron Redistribution in Iridium–Iron Dual-Metal-Atom Active Sites Enables Synergistic Enhancement for H2O2 Decomposition

Electron Redistribution in Iridium–Iron Dual-Metal-Atom Active Sites Enables Synergistic Enhancement for H2O2 Decomposition

A novel predicting method on degree of catalytic reaction in fuel cells

Modeling Riemann–Liouville fractional differential equations for diffusion and reaction in fractal porous media

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Product

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Electron Redistribution in Iridium–Iron Dual-Metal-Atom Active Sites Enables Synergistic Enhancement for H₂O₂ Decomposition

Electron Redistribution in Iridium–Iron Dual-Metal-Atom Active Sites Enables Synergistic Enhancement for H₂O₂ Decomposition