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Research Article

A novel near-infrared light responsive 4D printed nanoarchitecture with dynamically and remotely controllable transformation

Haitao Cui1,§, Shida Miao1,§, Timothy Esworthy1, Se-jun Lee1, Xuan Zhou1, Sung Yun Hann1, Thomas J. Webster2, Brent T. Harris3, Lijie Grace Zhang1,4,5,6()
Department of Mechanical and Aerospace Engineering,The George Washington University,Washington, DC,20052,
Department of Chemical Engineering,Northeastern University,Boston, MA,02115,USA;
Department of Neurology and Pathology,Georgetown University,Washington, DC,20007,USA;
Departments of Electrical and Computer Engineering,The George Washington University,Washington, DC,20052,USA;
Department of Biomedical Engineering,The George Washington University,Washington, DC,20052,USA;
Department of Medicine,The George Washington University,Washington, DC,20052,USA;

§ Haitao Cui and Shida Miao contributed equally to this work.

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Abstract

Four-dimensional (4D) printing is an emerging and highly innovative additive manufacturing process by which to fabricate pre-designed, self-assembly structures with the ability to transform over time. However, one of the critical challenges of 4D printing is the lack of advanced 4D printing systems that not only meet all the essential requirements of shape change but also possess smart, dynamic capabilities to spatiotemporally and instantly control the shape-transformation process. Here, we present a facile 4D printing platform which incorporates nanomaterials into the conventional stimuli-responsive polymer, allowing the 4D printed object to achieve a dynamic and remote controlled, on-time and position shape transformation. A proof-of-concept 4D printed brain model was created using near-infrared light (NIR) responsive nanocomposite to evaluate the capacity for controllable 4D transformation, and the feasibility of photothermal stimulation for modulating neural stem cell behaviors. This novel 4D printing strategy can not only be used to create dynamic 3D patterned biological structures that can spatiotemporally control their shapes or behaviors of transformation under a human benign stimulus (NIR), but can also provide a potential method for building complex self-morphing objects for widespread applications.

Keywords

near-infrared light responsivefour-dimensional (4D) printingdynamically and remotely controllablegraphenebrainneural stem cell

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Nano Research
Volume 12 Issue 6,
June 2019
Pages 1381-1388
DOI: 10.1007/s12274-019-2340-9
Cite this article:
Cui H, Miao S, Esworthy T, et al. A novel near-infrared light responsive 4D printed nanoarchitecture with dynamically and remotely controllable transformation. Nano Research, 2019, 12(6): 1381-1388. https://doi.org/10.1007/s12274-019-2340-9
Topics:
Brain Brain modelsGrapheneStem cells
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