DocumentCode
833787
Title
Equilibrium swelling and kinetics of pH-responsive hydrogels: models, experiments, and simulations
Author
De, Sudipto K. ; Aluru, N.R. ; Johnson, B. ; Crone, W.C. ; Beebe, David J. ; Moore, J.
Author_Institution
Beckman Inst. for Adv. Sci. & Technol., Illinois Univ., Urbana, IL, USA
Volume
11
Issue
5
fYear
2002
fDate
10/1/2002 12:00:00 AM
Firstpage
544
Lastpage
555
Abstract
The widespread application of ionic hydrogels in a number of applications like control of microfluidic flow, development of muscle-like actuators, filtration/separation and drug delivery makes it important to properly understand these materials. Understanding hydrogel properties is also important from the standpoint of their similarity to many biological tissues. Typically, gel size is sensitive to outer solution pH and salt concentration. In this paper, we develop models to predict the swelling/deswelling of hydrogels in buffered pH solutions. An equilibrium model has been developed to predict the degree of swelling of the hydrogel at a given pH and salt concentration in the solution. A kinetic model has been developed to predict the rate of swelling of the hydrogel when the solution pH is changed. Experiments are performed to characterize the mechanical properties of the hydrogel in different pH solutions. The degree of swelling as well as the rate of swelling of the hydrogel are also studied through experiments. The simulations are compared with experimental results and the models are found to predict the swelling/deswelling processes accurately.
Keywords
drug delivery systems; filtration; gels; microactuators; microfluidics; separation; swelling; buffered pH solutions; drug delivery; equilibrium model; filtration/separation; gel size; ionic hydrogels; mechanical properties; microfluidic flow; muscle-like actuators; pH-responsive hydrogels; swelling/deswelling; Actuators; Biological materials; Biological system modeling; Biological tissues; Drug delivery; Filtration; Kinetic theory; Mechanical factors; Microfluidics; Predictive models;
fLanguage
English
Journal_Title
Microelectromechanical Systems, Journal of
Publisher
ieee
ISSN
1057-7157
Type
jour
DOI
10.1109/JMEMS.2002.803281
Filename
1038850
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