Issue 31, 2017
From the journal:

Dalton Transactions

High-performance adsorption and separation of anionic dyes in water using a chemically stable graphene-like metal–organic framework†

Jun-Jiao Li,a   Chong-Chen Wang, ORCID logo *ab   Hui-fen Fu,a   Jing-Rui Cui,a   Peng Xu,c   Jie Guoa  and  Jian-Rong Li*d  

* Corresponding authors

a Beijing Key Laboratory of Functional Materials for Building Structure and Environment Remediation, Beijing University of Civil Engineering and Architecture, Beijing, China
E-mail: chongchenwang@126.com

b Beijing Advanced Innovation Centre for Future Urban Design, Beijing University of Civil Engineering and Architecture, Beijing, China

c CAS Key Laboratory of Standardization and Measurement for Nanotechnology, National Centre for Nanoscience and Technology, Beijing, P. R China

d Department of Chemistry and Chemical Engineering, College of Environmental and Energy Engineering, Beijing University of Technology, Beijing 100022, China
E-mail: jianrongli@bjut.edu.cn

Abstract

A highly stable graphene-like metal–organic framework (BUC-17) was prepared and used as an adsorbent to carry out the adsorption of anionic dyes from simulated wastewater, which exhibited excellent adsorption performance, particularly towards Congo red (CR) up to 4923.7 mg g−1 at room temperature. It was used to fix a SPE column to conduct rapid separation of anionic dyes from an organic dye matrix. A related mechanism was also proposed.

Graphical abstract: High-performance adsorption and separation of anionic dyes in water using a chemically stable graphene-like metal–organic framework

About
Cited by
Related
Download options Please wait...

Supplementary files

Article information

DOI
https://doi.org/10.1039/C7DT02208E
Article type
Communication
Submitted
18 Jun 2017
Accepted
03 Jul 2017
First published
07 Jul 2017

Dalton Trans., 2017,46, 10197-10201

Permissions

Request permissions

High-performance adsorption and separation of anionic dyes in water using a chemically stable graphene-like metal–organic framework

J. Li, C. Wang, H. Fu, J. Cui, P. Xu, J. Guo and J. Li, Dalton Trans., 2017, 46, 10197 DOI: 10.1039/C7DT02208E

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements