Issue 1, 2018

Development of visible-light responsive and mechanically enhanced “smart” UCST interpenetrating network hydrogels

Abstract

An interpenetrating polymer network (IPN), chlorophyllin-incorporated environmentally responsive hydrogel was synthesized and exhibited the following features: enhanced mechanical properties, upper critical solution temperature (UCST) swelling behavior, and promising visible-light responsiveness. Poor mechanical properties are known challenges for hydrogel-based materials. By forming an interpenetrating network between polyacrylamide (PAAm) and poly(acrylic acid) (PAAc) polymer networks, the mechanical properties of the synthesized IPN hydrogels were significantly improved compared to hydrogels made of a single network of each polymer. The formation of the interpenetrating network was confirmed by Fourier Transform Infrared Spectroscopy (FTIR), the analysis of glass transition temperature, and a unique UCST responsive swelling behavior, which is in contrast to the more prevalent lower critical solution temperature (LCST) behaviour of environmentally responsive hydrogels. The visible-light responsiveness of the synthesized hydrogel also demonstrated a positive swelling behavior, and the effect of incorporating chlorophyllin as the chromophore unit was observed to reduce the average pore size and further enhance the mechanical properties of the hydrogel. This interpenetrating network system shows potential to serve as a new route in developing “smart” hydrogels using visible-light as a simple, inexpensive, and remotely controllable stimulus.

Graphical abstract: Development of visible-light responsive and mechanically enhanced “smart” UCST interpenetrating network hydrogels

Article information

Article type
Paper
Submitted
14 Sep 2017
Accepted
23 Nov 2017
First published
24 Nov 2017

Soft Matter, 2018,14, 151-160

Development of visible-light responsive and mechanically enhanced “smart” UCST interpenetrating network hydrogels

Y. Xu, O. Ghag, M. Reimann, P. Sitterle, P. Chatterjee, E. Nofen, H. Yu, H. Jiang and L. L. Dai, Soft Matter, 2018, 14, 151 DOI: 10.1039/C7SM01851G

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