Electron Beam Irradiation Modified UiO-66 Supported Pt Catalysts for Low-Temperature Ethyl Acetate Catalytic Degradation

Nowadays, volatile organic compounds (VOCs) increasingly jeopardize ecosystem sustainability and human well-being. In this study, UiO-66 and its different electron beam (EB) irradiation doses (100, 300, 500 kGy) modified materials supported Pt catalysts, Pt/UiO-66 and Pt/UiO-66-X (X = 100, 300, and 500, representing the irradiation doses), were synthesized, and a series of characterizations were conducted on the samples. On this basis, the effectiveness of these catalysts was evaluated through the degradation of ethyl acetate. The study findings indicated that the sample irradiated at 100 kGy demonstrated superior catalytic performance. Thereafter, extensive tests with regard to water resistance, stability, and cycle performance indicated that the Pt/UiO-66-100 catalyst was characterized by satisfactory reusability and catalytic stability, even when faced with high heat and humidity. Further work with in situ diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) and thermal desorption–gas chromatography–mass spectrometry (TD-GC–MS) uncovered the process of degradation of ethyl acetate. This research provides a guideline for the design of high-performance VOC degradation catalysts through EB modification.

Authors

Institutions

Publication Details

Journal
Catalysts
Published
2025-02-26
DOI
https://doi.org/10.3390/catal15030220
Citations
26
Primary Topic
Catalytic Processes in Materials Science
Type
article
Field-Weighted Citation Impact
13.46

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Electron Beam Irradiation Modified UiO-66 Supported Pt Catalysts for Low-Temperature Ethyl Acetate Catalytic Degradation

Yanxuan Wang, Xiaodong Zhang, Jianghua Huang, Jiani Chen et al.
26 citations
Catalysts
Catalytic Processes in Materials Science
13.46
article

Electron Beam Irradiation Modified UiO-66 Supported Pt Catalysts for Low-Temperature Ethyl Acetate Catalytic Degradation

Yanxuan Wang, Xiaodong Zhang, Jianghua Huang, Jiani Chen, Shuting Ma, Fukun Bi, Yiyang Zhang
article en
26 citations

Abstract

Nowadays, volatile organic compounds (VOCs) increasingly jeopardize ecosystem sustainability and human well-being. In this study, UiO-66 and its different electron beam (EB) irradiation doses (100, 300, 500 kGy) modified materials supported Pt catalysts, Pt/UiO-66 and Pt/UiO-66-X (X = 100, 300, and 500, representing the irradiation doses), were synthesized, and a series of characterizations were conducted on the samples. On this basis, the effectiveness of these catalysts was evaluated through the degradation of ethyl acetate. The study findings indicated that the sample irradiated at 100 kGy demonstrated superior catalytic performance. Thereafter, extensive tests with regard to water resistance, stability, and cycle performance indicated that the Pt/UiO-66-100 catalyst was characterized by satisfactory reusability and catalytic stability, even when faced with high heat and humidity. Further work with in situ diffuse reflectance infrared Fourier transform spectroscopy (DRIFTS) and thermal desorption–gas chromatography–mass spectrometry (TD-GC–MS) uncovered the process of degradation of ethyl acetate. This research provides a guideline for the design of high-performance VOC degradation catalysts through EB modification.

CatalystsVol. 15(3)
University of Shanghai for Science and Technology (CN)
National Natural Science Foundation of China, Shanghai Rising-Star Program
Openalex Percentile: Top 1%
Catalytic Processes in Materials Science
13.46
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.