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Nano Research 2022, 15(3): 2599-2607 https://doi.org/10.1007/s12274-021-3821-1
Research Article | Issue | Published: 07 September 2021

Raman imaging-assisted customizable assembly of MOFs on cellulose aerogel

Show Author's Information Zhanhong Yuan1,  Dingding Meng2,  Yingzhu Wu1,  Guangqing Tang1,  Ping Liang2( ),  John H. Xin3,  Dongdong Ye1( )
School of Textile Materials and Engineering, Wuyi University, Jiangmen 529020, China
School of Applied Physics and Materials, Wuyi University, Jiangmen 529020, China
Institute of Textiles & Clothing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China
Keywords:
aerogel, metal–organic framework, cellulose nanofiber, Raman imaging, ion distribution
Topics:
Organic frameworks
Cite this article:
Yuan Z, Meng D, Wu Y, et al. Raman imaging-assisted customizable assembly of MOFs on cellulose aerogel. Nano Research, 2022, 15(3): 2599-2607. https://doi.org/10.1007/s12274-021-3821-1
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Abstract Full text About this article

Because of a weak interface-bonding force between metal–organic frameworks (MOFs) and substrates and the loss of customization in structural designs owing to the lack of the regulation of ion sites, MOFs tend to escape from the constructed composite template. In this study, the as-prepared 2,2,6,6-tetramethylpiperidyl-1-oxyl (TEMPO)-oxidized algae cellulose nanofibers (TACFs) were used to chelate metal ions at controllable sites and subsequently firmly entangle the assembled MOF crystals. The distribution of ions and synthesized MOFs inside the gel was monitored using Raman imaging technology, which provided an intuitive approach for visually observing the ions and MOF distribution. Using this technology, the synthesized customizable TACFs@ZIF-67 aerogels exhibited a high specific surface area (734.7 m2/g), low density (6.18 mg/cm3), controlled particle distribution, good underwater structural stability, and excellent adsorption of dyes. This study provides a way for solving the dispersion problem of MOFs in nanofibrous aerogels using Raman imaging technology–assisted microcosmic fixed-point design.


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About this article

Raman imaging-assisted customizable assembly of MOFs on cellulose aerogel

Show Author's information Zhanhong Yuan1, Dingding Meng2, Yingzhu Wu1, Guangqing Tang1, Ping Liang2( ), John H. Xin3, Dongdong Ye1( )
School of Textile Materials and Engineering, Wuyi University, Jiangmen 529020, China
School of Applied Physics and Materials, Wuyi University, Jiangmen 529020, China
Institute of Textiles & Clothing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China

Abstract

Because of a weak interface-bonding force between metal–organic frameworks (MOFs) and substrates and the loss of customization in structural designs owing to the lack of the regulation of ion sites, MOFs tend to escape from the constructed composite template. In this study, the as-prepared 2,2,6,6-tetramethylpiperidyl-1-oxyl (TEMPO)-oxidized algae cellulose nanofibers (TACFs) were used to chelate metal ions at controllable sites and subsequently firmly entangle the assembled MOF crystals. The distribution of ions and synthesized MOFs inside the gel was monitored using Raman imaging technology, which provided an intuitive approach for visually observing the ions and MOF distribution. Using this technology, the synthesized customizable TACFs@ZIF-67 aerogels exhibited a high specific surface area (734.7 m2/g), low density (6.18 mg/cm3), controlled particle distribution, good underwater structural stability, and excellent adsorption of dyes. This study provides a way for solving the dispersion problem of MOFs in nanofibrous aerogels using Raman imaging technology–assisted microcosmic fixed-point design.

Keywords: aerogel, metal–organic framework, cellulose nanofiber, Raman imaging, ion distribution

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Publication history
Copyright
Acknowledgements

Publication history

Received: 07 June 2021
Revised: 23 July 2021
Accepted: 14 August 2021
Published: 07 September 2021
Issue date: March 2022

Copyright

© Tsinghua University Press and Springer-Verlag GmbH Germany, part of Springer Nature 2021

Acknowledgements

Acknowledgements

This work was financially supported by the Guangdong Basic and Applied Basic Research Foundation (No. 2019A1515110684), Foundation of Department of Education Guangdong Province (Nos. 2019KQNCX163 and 2020KTSCX155), Wuyi University-Hong Kong Joint Research Fund (No. 2019WGALH13), Guangdong Science and Technology Major Special Fund (No. 2019-252), and the National Natural Science Foundation of China (No. 52103124).

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