Highly Efficient and Selective Hydrogenation of Cinnamaldehyde over Pt Nanoparticles and Single Atoms on Co <sub>2</sub> AlO <sub>4</sub> under Mild Conditions

Authors

Luna Ruan
Lihua Zhu (ORCID: https://orcid.org/0000-0001-5339-9025)
Weizhen Wang (ORCID: https://orcid.org/0000-0001-7549-8374)
Rui Wang
Xule Hong
Huan Zhang
Hengqiang Ye
Zhiqing Yang

Institutions

Hong Kong Polytechnic University (HK)
Ji Hua Laboratory (CN)
Jiangxi University of Science and Technology (CN)
Jiangxi Normal University (CN)

Publication Details

Journal: Langmuir
Published: 2026-04-16
DOI: https://doi.org/10.1021/acs.langmuir.6c01031
Primary Topic: Catalysis for Biomass Conversion
Type: article
Field-Weighted Citation Impact: 0.00

Funders

National Natural Science Foundation of China
Natural Science Foundation of Jiangxi Province
Jiangxi University of Science and Technology
Education Department of Jiangxi Province
Science Fund for Distinguished Young Scholars of Jiangxi Province

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article

Highly Efficient and Selective Hydrogenation of Cinnamaldehyde over Pt Nanoparticles and Single Atoms on Co ₂ AlO ₄ under Mild Conditions

Luna Ruan, Lihua Zhu, Weizhen Wang, Rui Wang et al.

Apr 16, 2026

Langmuir

Catalysis for Biomass Conversion

article

Highly Efficient and Selective Hydrogenation of Cinnamaldehyde over Pt Nanoparticles and Single Atoms on Co ₂ AlO ₄ under Mild Conditions

Luna Ruan, Lihua Zhu, Weizhen Wang, Rui Wang, Xule Hong, Huan Zhang, Hengqiang Ye, Zhiqing Yang

April 16, 2026article en

Abstract

No abstract available for this paper.

LangmuirVol. 42(16)

Hong Kong Polytechnic University (HK), Ji Hua Laboratory (CN), Jiangxi University of Science and Technology (CN), Jiangxi Normal University (CN)

National Natural Science Foundation of China, Natural Science Foundation of Jiangxi Province, Jiangxi University of Science and Technology, Education Department of Jiangxi Province, Science Fund for Distinguished Young Scholars of Jiangxi Province

Openalex Percentile: Top 19%

Catalysis for Biomass Conversion

DOI Source OpenAlex

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