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Nano Research 2022, 15(2): 1383-1392 https://doi.org/10.1007/s12274-021-3674-7
Research Article | Issue | Published: 11 August 2021

Photo-responsive shape memory polymer composites enabled by doping with biomass-derived carbon nanomaterials

Show Author's Information Nina Yan1,  Zhiyu Zheng1,  Yunliang Liu2,  Xizhi Jiang1,  Jiamin Wu1,  Min Feng1,  Lei Xu1( ),  Qingbao Guan3( ),  Haitao Li2( )
Institute of Agricultural Facilities and Equipment Jiangsu Academy of Agricultural Sciences Key Laboratory for Protected Agricultural Engineering in the Middle and Lower Reaches of Yangtze River Ministry of Agriculture and Rural Affairs, Nanjing 210014 China
Institute for Energy Research School of Chemistry and Chemical Engineering Jiangsu University Zhenjiang 212013 China
State Key Laboratory for Modification of Chemical Fibers and Polymer Materials International Joint Laboratory for Advanced Fiber and Low-dimension Materials College of Materials Science and Engineering Donghua University, Shanghai 201620 China
Keywords:
biomass, carbon nanomaterials, shape memory polymers, thermal responsive, photothermal responsive
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Nanoparticles
Cite this article:
Yan N, Zheng Z, Liu Y, et al. Photo-responsive shape memory polymer composites enabled by doping with biomass-derived carbon nanomaterials. Nano Research, 2022, 15(2): 1383-1392. https://doi.org/10.1007/s12274-021-3674-7
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Abstract Full text Electronic supplementary material About this article

As photothermal conversion agents, carbon nanomaterials are widely applied in polymers for light-triggered shape memory behaviors on account of their excellent light absorption. However, they are usually derived from non-renewable fossil resources, which go against the demand for sustainable development. Biomass-derived carbon nanomaterials are expected as alternatives if they are designed with good dispersibility as well as splendid photothermal properties. Up to date, very few researches focused on this area. Herein, we report a novel light-triggered shape memory composite by incorporating renewable biomass-derived carbon nanomaterials into acrylate polymers without deep purification and processing. These functionalized carbon nanomaterials not only have stable dispersion in polymers as fillers, but also can endow the polymers with excellent and stable thermal and photothermal responsive properties in biological friendly environment. With the introduction of biomass-derived carbon nanomaterials, the mechanical properties of the composites are also further enhanced with the formation of hydrogen bonding between the carbon nanomaterials and the polymers. Notably, the doping of 1% carbon nanomaterials endows the polymer with sufficient hydrogen bonds that not only exhibit excellent thermal and photothermal responsive properties, but also with enough space for the motion of chains. These properties make such composite a promising and safe candidate for shape memory applications, which provide a new avenue in smart fabrics or intelligent soft robotics.


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Electronic supplementary material
About this article

Photo-responsive shape memory polymer composites enabled by doping with biomass-derived carbon nanomaterials

Show Author's information Nina Yan1, Zhiyu Zheng1, Yunliang Liu2, Xizhi Jiang1, Jiamin Wu1, Min Feng1, Lei Xu1( ), Qingbao Guan3( ), Haitao Li2( )
Institute of Agricultural Facilities and Equipment Jiangsu Academy of Agricultural Sciences Key Laboratory for Protected Agricultural Engineering in the Middle and Lower Reaches of Yangtze River Ministry of Agriculture and Rural Affairs, Nanjing 210014 China
Institute for Energy Research School of Chemistry and Chemical Engineering Jiangsu University Zhenjiang 212013 China
State Key Laboratory for Modification of Chemical Fibers and Polymer Materials International Joint Laboratory for Advanced Fiber and Low-dimension Materials College of Materials Science and Engineering Donghua University, Shanghai 201620 China

Abstract

As photothermal conversion agents, carbon nanomaterials are widely applied in polymers for light-triggered shape memory behaviors on account of their excellent light absorption. However, they are usually derived from non-renewable fossil resources, which go against the demand for sustainable development. Biomass-derived carbon nanomaterials are expected as alternatives if they are designed with good dispersibility as well as splendid photothermal properties. Up to date, very few researches focused on this area. Herein, we report a novel light-triggered shape memory composite by incorporating renewable biomass-derived carbon nanomaterials into acrylate polymers without deep purification and processing. These functionalized carbon nanomaterials not only have stable dispersion in polymers as fillers, but also can endow the polymers with excellent and stable thermal and photothermal responsive properties in biological friendly environment. With the introduction of biomass-derived carbon nanomaterials, the mechanical properties of the composites are also further enhanced with the formation of hydrogen bonding between the carbon nanomaterials and the polymers. Notably, the doping of 1% carbon nanomaterials endows the polymer with sufficient hydrogen bonds that not only exhibit excellent thermal and photothermal responsive properties, but also with enough space for the motion of chains. These properties make such composite a promising and safe candidate for shape memory applications, which provide a new avenue in smart fabrics or intelligent soft robotics.

Keywords: biomass, carbon nanomaterials, shape memory polymers, thermal responsive, photothermal responsive

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Publication history
Copyright
Acknowledgements

Publication history

Received: 06 May 2021
Revised: 02 June 2021
Accepted: 10 June 2021
Published: 11 August 2021
Issue date: February 2022

Copyright

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

Acknowledgements

Acknowledgements

We are grateful to the financial support from Jiangsu Agriculture Science and Technology Innovation Fund (No. CX(19)3085), Jiangsu University acknowledges National Natural Science Foundation of China (Nos. 51802126 and 52072152), and Jiangsu Province Distinguished Professor Plan.

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