Optimal design of nanoengineered implantable optical sensors using a genetic algorithm. Conference Paper

abstract

• A genetic algorithm as a design tool for optimized optical glucose sensors is presented. These proposed sensors are fabricated by assembling ultrathin polyelectrolyte films on the surface of calcium alginate microspheres containing glucose oxidase and an oxygen-quenched ruthenium fluorophore. The sensors are rendered ratiometric by inclusion of a complementary reference fluorophore via polyelectrolyte-dye conjugates. The genetic algorithm, in conjunction with a computational model of the chemical sensor, selects the optimal values for diffusivities of glucose and oxygen in the polyelectrolyte films, the enzyme concentration, microsphere radius, and film thickness that give the optimum sensor response. The values given by the genetic algorithm will be used to design future sensor prototypes.

name of conference

• The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

authors

• McShane, Michael

published proceedings

• Conf Proc IEEE Eng Med Biol Soc

author list (cited authors)

• Brown, J., & McShane, M.

citation count

• 3

complete list of authors

• Brown, J||McShane, M

publication date

• December 2004

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference  Journal

keywords

• Electrostatic Self-assembly
• Genetic Algorithm
• Nanotechnology
• Optical Sensors

PubMed Central ID

• 17272138

Digital Object Identifier (DOI)

• 10.1109/IEMBS.2004.1403618

International Standard Book Number (ISBN) 10

• 0-7803-8439-3

start page

• 2105

end page

• 2108

volume

• 2004

URL

• http://dx.doi.org/10.1109/iembs.2004.1403618