Highly efficient hydrogenation reduction of aromatic nitro compounds using MOF derivative Co–N/C catalyst
Author:
Affiliation:
1. College of Chemical Engineering, Zhejiang University of Technology, Hangzhou, 310014, P. R. China
Abstract
Funder
National Natural Science Foundation of China
Natural Science Foundation of Zhejiang Province
Publisher
Royal Society of Chemistry (RSC)
Subject
Materials Chemistry,General Chemistry,Catalysis
Link
http://pubs.rsc.org/en/content/articlepdf/2021/NJ/D1NJ04139H
Reference31 articles.
1. Degradation of aromatic amines in textile-dyeing sludge by combining the ultrasound technique with potassium permanganate treatment
2. Primary aromatic amines and cancer: Novel mechanistic insights using 4-aminobiphenyl as a model carcinogen
3. A photochemical dehydrogenative strategy for aniline synthesis
4. Degradation of nitrogen-containing hazardous compounds using advanced oxidation processes: A review on aliphatic and aromatic amines, dyes, and pesticides
5. Morphological effects on the selectivity of intramolecular versus intermolecular catalytic reaction on Au nanoparticles
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