Optimal design of nanoengineered implantable optical sensors using a genetic algorithm.
Optimal design of nanoengineered implantable optical sensors using a genetic algorithm.
复制标题
使用遗传算法优化设计纳米工程植入式光学传感器。
DOI：
10.1109/iembs.2004.1403618
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发表时间：
2004
期刊：
影响因子：
--
通讯作者：
McShane,M
中科院分区：
文献类型：
--
作者：
Brown,J;McShane,M
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.
