journal article·2021-10

Anisotropic bilayer hydrogels with synergistic photochromism behaviors for light-controlled actuators

Qiaofeng Gao, Pengju Pan, Guorong Shan, Miao Du

Journal of Materials Science· Volume 56· Issue 29
Publisher page

Abstract

Smart hydrogels have attracted widespread attention and have displayed comprehensive applications in many fields. The development of a novel type of bilayer hydrogel with synergistic function of anisotropic deformation and photochromic property is extremely challenging. Many previous researches have focused on multiple response hydrogels. However, it hardly achieves the synergy of deformation and color-changing through a method with the advantages of simplicity, stability, practicality, and precise control. Herein, a near-infrared light (NIR) photothermal thermoresponsive graphene oxide/poly(N-isopropylacrylamide-β-cyclodextrin) (PNIPAM-β-CD/GO) hydrogel layer and a reversible photochromic ammonium molybdate tetrahydrate/poly(N-isopropylacrylamide-co-β-cyclodextrin) (PNIPAM-β-CD/Mo7) hydrogel layer were combined to obtain a bilayer hydrogel through the host–guest interactions between β-CD and the isopropyl group of NIPAM, exhibiting integrate anisotropic shape deformation and reversible photochromic behaviors. The designed actuators can undergo complex deformation owing to volume shrinkage caused by the photothermal effect under NIR of the PNIPAM-β-CD/GO layer, while the PNIPAM-β-CD/Mo7 hydrogel layer shows the characteristics of quickly color changing within 5 s when irradiated by a UV light source. The multiple responsiveness of hydrogels on temperature, NIR irradiation, and UV irradiation displays valuable advantages in multifunctional smart materials, such as intelligent soft robots.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Photochromic and Fluorescence Chemistry · Supramolecular Self-Assembly in Materials · Advanced Materials and Mechanics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

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