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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Brown, J.Q. McShane, M.J. |
| Copyright Year | 2004 |
| Description | Author affiliation: Biomedical Eng. Program, Louisiana Tech. Univ., Ruston, LA, USA (Brown, J.Q.; McShane, M.J.) |
| 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. |
| Starting Page | 2105 |
| Ending Page | 2108 |
| File Size | 219196 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780384393 |
| DOI | 10.1109/IEMBS.2004.1403618 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2004-09-01 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Optical design Algorithm design and analysis Optical sensors Genetic algorithms Chemical sensors Sugar Optical films Design optimization Assembly Calcium electrostatic self-assembly genetic algorithm optical sensors nanotechnology |
| Content Type | Text |
| Resource Type | Article |
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