Modeling Theories of Intelligent Hydrogel Polymers

Saunders, Joseph Ryan; Abu-Salih, Samy; Khaleque, Tania S.; Hanula, S.; Moussa, Wissam

doi:10.1166/jctn.2008.1001

Cited by 34 publications

(22 citation statements)

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“…The theories described above address the equilibrium swelling state of hydrogels; however, an understanding of the swelling dynamics through volume phase transitions may be useful for predicting the behavior of the hydrogel with time. There are many various models that simulate volume transitions, some of which have been recently reviewed . Recently, work by Li et al and Lai et al investigated the swelling dynamics of hydrogels by the multieffect‐coupling ionic‐strength‐stimulus model (MECis), which integrates the Nernst–Planck equation for mobile ion concentrations and the Poisson equation for the electric potential associated with the fixed charges to describe the mechanical displacement of a deformable network and the phase field variable.…”

Section: Theory Of Swellingmentioning

confidence: 99%

Advances in smart materials: Stimuli‐responsive hydrogel thin films

White

Yatvin

Grubbs

et al. 2013

J Polym Sci B Polym Phys

165

115

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This review highlights recent developments in the field of stimuli-responsive hydrogels, focusing primarily on thin films, with a thickness range between 100 nm to 10 lm. The theory and dynamics of hydrogel swelling is reviewed, followed by specific applications. Gels are classified based on the active stimulus-mechanical, chemical, pH, heat, and lightand fabrication methods, design constraints, and novel stimuliresponses are discussed. Often, these materials display large physiochemical reactions to a relatively small stimulus.Noteworthy materials larger than 10 lm, but with response times on the order of seconds to minutes are also discussed. Hydrogels have the potential to advance the fields of medicine and polymer science as useful substrates for "smart" devices.

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Section: Theory Of Swellingmentioning

confidence: 99%

Advances in smart materials: Stimuli‐responsive hydrogel thin films

White

Yatvin

Grubbs

et al. 2013

J Polym Sci B Polym Phys

165

115

View full text Add to dashboard Cite

show abstract

“…The swelling ratios of the hydrogels declined sharply compared to the use of deionized water. In fact, this observation is common in the swelling experiments of polyelectrolyte hydrogels (Ostroha et al 2004;Saunders et al 2008). This may have been explained as follows: the charge screening effect caused by the counter ions (Na+) in the salt solution could clearly weaken the electrostatic repulsion and thereby decrease the osmotic pressure between the hydrogel networks and the external solution.…”

Section: Effect Of Ph and Salt Solution On Water Absorbencymentioning

confidence: 72%

Rice Husk Char/Poly-(Acrylic Acid-co-acrylamide) Superabsorbent Hydrogels: Preparation, Characterization, and Swelling Behaviors

2017

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A series of novel rice husk char/poly-(acrylic acid(AA)-co-acrylamide(AM)) superabsorbent hydrogels were synthesized by graft copolymerization. The effects of the rice husk char (RHC) loading on their miscibility, shapes, and chemical structures were studied, and their swelling behaviors, kinetics, and pH response were evaluated. During the preparation, RHC reacted with acrylic acid. The RHC at lower loads (< mass ratios of RHC and AA of 1%) was scattered well within the polymer matrix, but an excessive load might result in the formation of large agglomerates. The swelling capacity and swelling rate of the hydrogels first were both increased with the rising RHC loading to 1% and then declined with further RHC loading. The superabsorbent hydrogel containing 1% RHC had the highest water absorbency (869 g/g in deionized water and 97 g/g in 0.9% NaCl solution).

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“…For the investigation of hydrogel swelling on a macroscopic scale, various macroscopic models have been developed. Overviews on macroscopic hydrogel models have been presented in [26][27][28].…”

Section: Lement and Phase Field Methodsmentioning

confidence: 99%

Simulation of Stimuli-Responsive Polymer Networks

Gruhn

Emmerich

2013

Chemosensors

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The structure and material properties of polymer networks can depend sensitively on changes in the environment. There is a great deal of progress in the development of stimuli-responsive hydrogels for applications like sensors, self-repairing materials or actuators. Biocompatible, smart hydrogels can be used for applications, such as controlled drug delivery and release, or for artificial muscles. Numerical studies have been performed on different length scales and levels of details. Macroscopic theories that describe the network systems with the help of continuous fields are suited to study effects like the stimuli-induced deformation of hydrogels on large scales. In this article, we discuss various macroscopic approaches and describe, in more detail, our phase field model, which allows the calculation of the hydrogel dynamics with the help of a free energy that considers physical and chemical impacts. On a mesoscopic level, polymer systems can be modeled with the help of the self-consistent field theory, which includes the interactions, connectivity, and the entropy of the polymer chains, and does not depend on constitutive equations. We present our recent extension of the method that allows the study of the formation of nano domains in reversibly crosslinked block copolymer networks. Molecular simulations of polymer networks allow the investigation of the behavior of specific systems on a microscopic scale. As an example for microscopic modeling of stimuli sensitive polymer networks, we present our Monte Carlo simulations of a filament network system with crosslinkers

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Modeling Theories of Intelligent Hydrogel Polymers

Cited by 34 publications

References 0 publications

Advances in smart materials: Stimuli‐responsive hydrogel thin films

Advances in smart materials: Stimuli‐responsive hydrogel thin films

Rice Husk Char/Poly-(Acrylic Acid-co-acrylamide) Superabsorbent Hydrogels: Preparation, Characterization, and Swelling Behaviors

Simulation of Stimuli-Responsive Polymer Networks

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