Design of highly sensitive guided-wave surface plasmon resonance biosensor with deep dip using genetic algorithm
Design of highly sensitive guided-wave surface plasmon resonance biosensor with deep dip using genetic algorithm
复制标题
利用遗传算法设计深浸高灵敏导波表面等离子体共振生物传感器
DOI：
10.1016/j.optcom.2019.04.035
复制
发表时间：
2019-08-15
影响因子：
2.4
通讯作者：
Chen, Shujing
中科院分区：
文献类型：
--
作者：
Lin, Chengyou;Chen, Shujing
提出了一种基于遗传算法的高灵敏度深倾角导波表面等离子体共振（GWSPR）生物传感器的设计方法。在遗传算法的灵敏度评价函数中引入谐振角处反射率的约束条件，实现了GWSPR生物传感器灵敏度和浸渍深度的同时优化。利用该方法，我们首先设计了一种Ag-TiO 2-graphene杂化结构的GWSPR生物传感器，并将其性能与传统方法（CM）设计的基于相同结构的SPR生物传感器进行了比较。结果表明，遗传算法设计的GWSPR生物传感器的灵敏度与CM设计的生物传感器的灵敏度基本相同，但其在共振角处的反射率要低得多。此外，还设计并分析了不同层数石墨烯的GWSPR生物传感器。结果发现，所提出的GWSPR生物传感器的最佳灵敏度随着石墨烯层数的增加而降低。此外，还研究了共振角处靶反射率对GWSPR生物传感器设计的影响。基于遗传算法的SPR传感器设计方法可进一步应用于任意多层结构的SPR生物传感器，为高性能SPR传感器的研制提供了理论依据。
In this paper, we presented a genetic algorithm (GA) based design method of highly sensitive guided-wave surface plasmon resonance (GWSPR) biosensor with deep dip. A constraint condition of reflectivity at resonance angle was used in a sensitivity based merit function (MF) of GA to achieve simultaneous optimization of sensitivity and depth of dip of GWSPR biosensor. Using the proposed method, we designed a GWSPR biosensor with Ag-TiO2-graphene hybrid structure at first, and compared its performance with a same structure based SPR biosensor but designed by conventional method (CM). The results indicated that the sensitivity of the GA designed GWSPR biosensor was nearly the same as the one of CM designed biosensor, but its reflectivity at resonance angle was much lower. In addition, GWSPR biosensors with different layers of graphene were also designed and analyzed. It was found that the optimal sensitivity of the proposed GWSPR biosensor decreased with increasing layers of graphene. Furthermore, the effect of target reflectivity at resonance angle on the design of GWSPR biosensor was also investigated. The proposed design method based on GA can be further applied to SPR biosensors with arbitrary multilayer structures, making it helpful for high-performance SPR sensors development.