Design rationale for stimuli-responsive, semi-interpenetrating polymer network hydrogels–a quantitative approach
Stimuli‐responsive semi‐interpenetrating polymer network (semi‐IPN) hydrogels form an important class of polymers for their tunable properties via molecular design. They are widely investigated for a diverse range of applications including drug delivery, sensors, actuators, and osmotic agents. Howev...
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sg-ntu-dr.10356-1448812020-12-05T20:11:35Z Design rationale for stimuli-responsive, semi-interpenetrating polymer network hydrogels–a quantitative approach Gupta, Nupur Liang, Yen Nan Lim, Jacob Song Kiat Hu, Xiao Interdisciplinary Graduate School (IGS) Nanyang Environment and Water Research Institute Engineering::Materials N-isopropyl Acrylamide Linear Polymer Retention Stimuli‐responsive semi‐interpenetrating polymer network (semi‐IPN) hydrogels form an important class of polymers for their tunable properties via molecular design. They are widely investigated for a diverse range of applications including drug delivery, sensors, actuators, and osmotic agents. However, in‐depth studies on some of the critical design principles affecting diffusion/leaching of linear polymer from semi‐IPN hydrogels are lacking. Herein, for the first time, by preparing a series of model semi‐IPN hydrogels based on thermally responsive poly (N‐isopropyl acrylamide) (PNIPAM) network and linear poly(sodium acrylate) (PSA), a systematic and quantitative study concerning linear polymer chain retention and swelling/deswelling kinetics is reported. The study shows that PSA retention is significantly affected not only by PSA molecular weight and concentration, but also by polymerization temperature, which could be linked to homogeneity and internal morphology of the hydrogel. Surprisingly, there is no obvious influence of crosslinking density of PNIPAM network toward PSA retention, while faster swelling and deswelling at higher crosslinking density are observed in terms of swelling rate constant and deswelling activation energy. These findings offer new insights on the factors affecting structural and physicochemical properties of such semi‐IPN hydrogels, which should in turn serve as a general guideline for materials design. Accepted version The author (Gupta) would like to thank Nanyang Technological University for the research scholarship via the Interdisciplinary Graduate School (IGS). 2020-12-01T09:02:15Z 2020-12-01T09:02:15Z 2020 Journal Article Gupta, N., Liang, Y. N., Lim, J. S. K., & Hu, X. (2020). Design rationale for stimuli-responsive, semi-interpenetrating polymer network hydrogels–a quantitative approach. Macromolecular Rapid Communications, 41(21), 2000199-. doi:10.1002/marc.202000199 1022-1336 https://hdl.handle.net/10356/144881 10.1002/marc.202000199 21 41 2000199 en Macromolecular Rapid Communications This is the accepted version of the following article: Gupta, N., Liang, Y. N., Lim, J. S. K., & Hu, X. (2020). Design rationale for stimuli-responsive, semi-interpenetrating polymer network hydrogels–a quantitative approach. Macromolecular Rapid Communications, 41(21), 2000199-. doi:10.1002/marc.202000199, which has been published in final form at 10.1002/marc.202000199. This article may be used for non-commercial purposes in accordance with the Wiley Self-Archiving Policy [https://authorservices.wiley.com/authorresources/Journal-Authors/licensing/self-archiving.html]. application/pdf application/pdf |
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Engineering::Materials N-isopropyl Acrylamide Linear Polymer Retention Gupta, Nupur Liang, Yen Nan Lim, Jacob Song Kiat Hu, Xiao Design rationale for stimuli-responsive, semi-interpenetrating polymer network hydrogels–a quantitative approach |
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Stimuli‐responsive semi‐interpenetrating polymer network (semi‐IPN) hydrogels form an important class of polymers for their tunable properties via molecular design. They are widely investigated for a diverse range of applications including drug delivery, sensors, actuators, and osmotic agents. However, in‐depth studies on some of the critical design principles affecting diffusion/leaching of linear polymer from semi‐IPN hydrogels are lacking. Herein, for the first time, by preparing a series of model semi‐IPN hydrogels based on thermally responsive poly (N‐isopropyl acrylamide) (PNIPAM) network and linear poly(sodium acrylate) (PSA), a systematic and quantitative study concerning linear polymer chain retention and swelling/deswelling kinetics is reported. The study shows that PSA retention is significantly affected not only by PSA molecular weight and concentration, but also by polymerization temperature, which could be linked to homogeneity and internal morphology of the hydrogel. Surprisingly, there is no obvious influence of crosslinking density of PNIPAM network toward PSA retention, while faster swelling and deswelling at higher crosslinking density are observed in terms of swelling rate constant and deswelling activation energy. These findings offer new insights on the factors affecting structural and physicochemical properties of such semi‐IPN hydrogels, which should in turn serve as a general guideline for materials design. |
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Interdisciplinary Graduate School (IGS) |
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Interdisciplinary Graduate School (IGS) Gupta, Nupur Liang, Yen Nan Lim, Jacob Song Kiat Hu, Xiao |
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Article |
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Gupta, Nupur Liang, Yen Nan Lim, Jacob Song Kiat Hu, Xiao |
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Gupta, Nupur |
title |
Design rationale for stimuli-responsive, semi-interpenetrating polymer network hydrogels–a quantitative approach |
title_short |
Design rationale for stimuli-responsive, semi-interpenetrating polymer network hydrogels–a quantitative approach |
title_full |
Design rationale for stimuli-responsive, semi-interpenetrating polymer network hydrogels–a quantitative approach |
title_fullStr |
Design rationale for stimuli-responsive, semi-interpenetrating polymer network hydrogels–a quantitative approach |
title_full_unstemmed |
Design rationale for stimuli-responsive, semi-interpenetrating polymer network hydrogels–a quantitative approach |
title_sort |
design rationale for stimuli-responsive, semi-interpenetrating polymer network hydrogels–a quantitative approach |
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2020 |
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https://hdl.handle.net/10356/144881 |
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1688665626752581632 |