Overall
- Language
- English
- Conflict of Interest
- In relation to this article, we declare that there is no conflict of interest.
- Publication history
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Received December 11, 2024
Revised May 25, 2025
Accepted July 26, 2025
Available online September 25, 2025
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This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits
unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Most Cited
Comparative Study on the Eff ect of Reaction Parameters on Low-temperature Catalytic Ozonation of Singleand Multi-component VOCs Using Response Surface Methodology
https://doi.org/10.1007/s11814-025-00528-8
Abstract
Recently, ozone catalytic oxidation technology has been widely concerned because it can effi ciently remove VOCs at low
temperatures. However, the infl uence of diff erent factors on the catalytic ozonation of VOCs, especially of multi-component
VOCs, is still indeterminate. Herein, the eff ect of each reaction parameter on catalytic ozonation of single- and multi-component
of toluene and dimethyl carbonate was systematically evaluated using a highly effi cient catalyst (Mn/Y). Simultaneously,
a multiple quadratic regression model was established by response surface methodology to compare the diff erence of
the contribution of diff erent reaction conditions to single- and multi-component VOCs reaction systems. It was found that
the eff ect of diff erent factors on VOCs conversion followed reaction temperature > space velocity > input concentration of
ozone. In addition, the eff ect of the reaction conditions on ozone conversion in DMC reaction system and CO x selectivity
in toluene reaction system (reaction temperature > input concentration of ozone > space velocity) is diff erent from the other
reaction systems (reaction temperature > space velocity > input concentration of ozone). Satisfactorily, the results of the catalytic
reaction experiment are highly consistent with the data fi tted by the multiple quadratic regression model. It can provide
theoretical guidance for optimizing the reaction parameters of catalytic ozonation of VOCs in diff erent reaction systems.

