NDLI: Numerical simulation of hydrogel-based pH-responsive biosensors in BioMEMS

Content Provider	IEEE Xplore Digital Library
Author	Hua Li Yew, Y.K. Lam, K.Y. Ng, T.Y.
Copyright Year	2003
Description	Author affiliation: Comput. MEMS Div., Inst. of High Performance Comput., Singapore, Singapore (Hua Li; Yew, Y.K.; Lam, K.Y.; Ng, T.Y.)
Abstract	Applications of hydrogels in BioMEMS as mircoscale sensors/actuators have increasingly driven wide range effort of researchers since the bio-stimuli-responsive phenomena of hydrogels are observed, including the stimulation of pH, antigens, glucose, temperatures, pressure, etc. However, most of the studies are conducted through experimental works. A few theoretical works done are based on some over simplified assumptions. In this paper, a mathematical model, based on the chemo-electro-mechanical coupling formulations, is presented and known as the Multi-Effect-Coupling for pH-stimulus (MECpH) model. The MECpH model is developed to simulate the response of pH-sensitive hydrogels stimulated by pH value of the surrounding solution. This mathematical model is constructed from the nonlinear partial differential Nernst-Planck diffusive equations for diffusing ion species, and coupled with both the Poisson equations for electric potential and mechanical equilibrium equation for deformation of hydrogels. In order to solve the present MECpH model, consisting of a set of coupled nonlinear partial differential equations, a novel meshless technique, Hermite-Cloud method, is employed to simulate the responsive performance of the pH-sensitive hydrogels with varying pH in the bathing solution. Finally, one-dimensional steady-state simulations are carried out and compared with experimental results. It is shown that the presently developed MECpH model can simulate numerically and predict accurately the swelling response of the pH-responsive hydrogel.
Sponsorship	TIMA-CNRS-INPG-UJF IEEE IEEE Comput. Soc. Test Technol. Tech. Council
Starting Page	218
Ending Page	222
File Size	250400
Page Count	5
File Format	PDF
ISBN	078037066X
DOI	10.1109/DTIP.2003.1287040
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2003-05-07
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Temperature sensors Couplings Poisson equations Nonlinear equations Partial differential equations Differential equations Predictive models Numerical simulation Biosensors Mathematical model
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Numerical issues in power device simulation and modelling

Nonlinear model predictive control of a glass forming process based on a Finite Element model

Models for nonlinear transmission lines

Model Predictive Control for Nonlinear Parabolic Partial Differential Equations

Preliminaries in numerical simulation of isotope separation closed-loop processes

An application of nonlinear model predictive control using C/GMRES method to a PH neutralization process

Material derivative based control of a solar parabolic trough field

Predictive Model-Based Thermal Management for Network Applications

Numerical simulation of Black-Scholes model for American options

Numerical simulation of hydrogel-based pH-responsive biosensors in BioMEMS

Similar Documents

Numerical issues in power device simulation and modelling

Nonlinear model predictive control of a glass forming process based on a Finite Element model

Models for nonlinear transmission lines

Model Predictive Control for Nonlinear Parabolic Partial Differential Equations

Preliminaries in numerical simulation of isotope separation closed-loop processes

An application of nonlinear model predictive control using C/GMRES method to a PH neutralization process

Material derivative based control of a solar parabolic trough field

Predictive Model-Based Thermal Management for Network Applications

Numerical simulation of Black-Scholes model for American options

Numerical simulation of hydrogel-based pH-responsive biosensors in BioMEMS