High-efficiency Pd nanoparticles loaded porous organic polymers membrane catalytic reactors-Reference-Cited by-同舟云学术

High-efficiency Pd nanoparticles loaded porous organic polymers membrane catalytic reactors

Published:2021 Issue:25 Volume:57 Page:3131-3134
ISSN:1359-7345
Container-title:Chemical Communications
language:en
Short-container-title:Chem. Commun.

Author:

Chen Yaohan¹²³⁴⁵,Li Yonggang¹²³⁴⁵,Dai Lei¹²³⁴⁵,Qin Guorui¹²³⁴⁵^ORCID,Guo Jing¹²³⁴⁵,Zhang Qifeng¹²³⁴⁵,Li Shenghai¹²³⁴⁵^ORCID,Sherazi Tauqir A.⁶⁷⁸⁹^ORCID,Zhang Suobo¹²³⁴⁵^ORCID

Affiliation:

1. Key Laboratory of Polymer Ecomaterials

2. Changchun Institute of Applied Chemistry

3. Chinese Academy of Sciences

4. Changchun 130022

5. P. R. China

6. Department of Chemistry

7. COMSATS University Islamabad

8. Abbottabad 22060

9. Pakistan

Abstract

Cross-linked porous organic polymer membranes were fabricated via interfacial azo-coupling polymerization and demonstrated to be a high-performance membrane catalytic reactor with a flux of 27.3 t m⁻² day⁻¹ for reducing the nitrophenols.

Funder

National Natural Science Foundation of China

Jilin Scientific and Technological Development Program

Chinese Academy of Sciences

Higher Education Commision, Pakistan

Publisher

Royal Society of Chemistry (RSC)

Subject

Materials Chemistry,Metals and Alloys,Surfaces, Coatings and Films,General Chemistry,Ceramics and Composites,Electronic, Optical and Magnetic Materials,Catalysis

Link

http://pubs.rsc.org/en/content/articlepdf/2021/CC/D0CC08097G

Reference23 articles.

1. Synthesis and stabilization of metal nanocatalysts for reduction reactions – a review

2. Two-dimensional covalent organic frameworks as self-template derived nitrogen-doped carbon nanosheets for eco-friendly metal-free catalysis

3. Improved Adsorption of 4-Nitrophenol onto a Novel Hyper-Cross-Linked Polymer

4. Amino-MIL-53(Al) sandwich-structure membranes for adsorption of p-nitrophenol from aqueous solutions

5. Palladium nanoparticle loaded β-cyclodextrin monolith as a flow reactor for concentration enrichment and conversion of pollutants based on molecular recognition

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