Smart Hydrogel Modelling [electronic resource] /by Hua Li.
by Li, Hua [author.]; SpringerLink (Online service).
Material type:
BookPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.Description: XIII, 356p. 378 illus., 90 illus. in color. online resource.ISBN: 9783642023682.Subject(s): Chemistry | Polymers | Electronics | Biomedical engineering | Chemistry | Polymer Sciences | Soft and Granular Matter, Complex Fluids and Microfluidics | Biomedical Engineering | Computer Applications in Chemistry | Electronics and Microelectronics, InstrumentationDDC classification: 541.2254 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| MAIN LIBRARY | QD380-388 (Browse shelf) | Available |
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| QA8.9-QA10.3 Rewriting Techniques and Applications | GE300-350 The Aral Sea | QA75.5-76.95 Dynamic Taxonomies and Faceted Search | QD380-388 Smart Hydrogel Modelling | Q334-342 Organized Adaption in Multi-Agent Systems | QA273.A1-274.9 Stochastic Analysis in Discrete and Continuous Settings | SB123-123.5 Genetic Modification of Plants |
Multi-Effect-Coupling pH-Stimulus (MECpH) Model for pH-Sensitive Hydrogel -- Multi-Effect-Coupling Electric-Stimulus (MECe) Model for Electric-Sensitive Hydrogel -- Multi-Effect-Coupling pH-Electric-Stimuli (MECpHe) Model for Smart Hydrogel Responsive to pH-Electric Coupled Stimuli -- Multi-Effect-Coupling Thermal-Stimulus (MECtherm) Model for Temperature-Sensitive Hydrogel -- Novel Models for Smart Hydrogel Responsive to Other Stimuli: Glucose Concentration and Ionic Strength -- Simulation of Controlled Drug Release from Non-Swellable Micro-Hydrogel Particle.
This is the first monograph of its kind, where a comprehensive and systematic description of modeling and simulation of the smart polymer hydrogels in BioMEMS environment is provided. It will cover the development of the models in form of nonlinear coupled partial differential governing equations for the smart hydrogels. Further, benchmark results, for simulation and prediction of responsive behaviour of the smart hydrogels to solution pH, externally applied electric voltage, environmental temperature, glucose/carbohydrates and salt concentration/ionic strength that are basic stimuli in common BioMEMS devices, are also documented. Finally, it is written in as simple a manner as possible, such that it will make informative and easy reading for the expert, and concurrently it can serve as a rich reference source for a graduate student intending to work in this area.
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