Hydrogenation of Nitrophenol via Nickel-Based Catalytic Membranes with Engineered Surface Affinity

Selective hydrogenation of nitro groups to amino groups is a crucial reaction in industries, with the hydrogenation of p-nitrophenol (PNP) to p-aminophenol (PAP) being a key step in the production of fine chemicals and environmental pollution mitigation. Conventional catalysts often suffer from nanoparticle agglomeration and poor separation, limiting their efficiency. Here, we developed Ni-based catalytic membranes derived from metal–organic frameworks (MOFs) with –NH2 groups to enhance catalytic performance and stability. The Ni/CMs were prepared by growing Ni-based precursors in situ on ceramic membranes (CMs) via hydrothermal synthesis and pyrolysis. Among three different Ni/CMs, Ni/CM-ABDC, using 2-aminobenzene dicarboxylic acid (ABDC) as the ligand, exhibited the highest catalytic activity, achieving the PNP reduction rate of 14.3 h–1 and its complete conversion in 90 min and maintaining high stability over five reaction cycles. This was due to the uniform dispersion of Ni nanoparticles (Ni NPs), the mesoporous N-doped carbon matrix, and the highest Ni0/Ni2+ ratio. In contrast, Ni/CM-Urea and Ni/CM-BDC showed inferior performance. Mechanistic studies revealed that the N-doped carbon matrix enhanced selective adsorption of PNP and desorption of PAP, promoting the hydrogenation process. This work demonstrates the potential of MOF-derived Ni/CMs for efficient hydrogenation of nitro-groups.

Authors

Institutions

Publication Details

Journal
Industrial & Engineering Chemistry Research
Published
2025-06-18
DOI
https://doi.org/10.1021/acs.iecr.5c01244
Citations
1
Primary Topic
Nanomaterials for catalytic reactions
Type
article
Field-Weighted Citation Impact
0.94

Funders

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

Hydrogenation of Nitrophenol via Nickel-Based Catalytic Membranes with Engineered Surface Affinity

Weihong Xing, Rizhi Chen, Zhenchen Tang, Zhengyan Qu et al.
1 citations
Industrial & Engineering Chemistry Research
Nanomaterials for catalytic reactions
0.94
article

Hydrogenation of Nitrophenol via Nickel-Based Catalytic Membranes with Engineered Surface Affinity

Weihong Xing, Rizhi Chen, Zhenchen Tang, Zhengyan Qu, Hong Jiang, Jiuxuan Zhang, Yiqun Liu
article en
1 citations

Abstract

Selective hydrogenation of nitro groups to amino groups is a crucial reaction in industries, with the hydrogenation of p-nitrophenol (PNP) to p-aminophenol (PAP) being a key step in the production of fine chemicals and environmental pollution mitigation. Conventional catalysts often suffer from nanoparticle agglomeration and poor separation, limiting their efficiency. Here, we developed Ni-based catalytic membranes derived from metal–organic frameworks (MOFs) with –NH2 groups to enhance catalytic performance and stability. The Ni/CMs were prepared by growing Ni-based precursors in situ on ceramic membranes (CMs) via hydrothermal synthesis and pyrolysis. Among three different Ni/CMs, Ni/CM-ABDC, using 2-aminobenzene dicarboxylic acid (ABDC) as the ligand, exhibited the highest catalytic activity, achieving the PNP reduction rate of 14.3 h–1 and its complete conversion in 90 min and maintaining high stability over five reaction cycles. This was due to the uniform dispersion of Ni nanoparticles (Ni NPs), the mesoporous N-doped carbon matrix, and the highest Ni0/Ni2+ ratio. In contrast, Ni/CM-Urea and Ni/CM-BDC showed inferior performance. Mechanistic studies revealed that the N-doped carbon matrix enhanced selective adsorption of PNP and desorption of PAP, promoting the hydrogenation process. This work demonstrates the potential of MOF-derived Ni/CMs for efficient hydrogenation of nitro-groups.

Industrial & Engineering Chemistry ResearchVol. 64(26)
Nanjing Tech University (CN), Suzhou Research Institute (CN), State Key Laboratory of Materials-Oriented Chemical Engineering
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, National Key Research and Development Program of China
Openalex Percentile: Top 25%
Nanomaterials for catalytic reactions
0.94
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.