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Tytuł:
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Sensitivity Enhancement of Two-Dimensional Materials Based on Genetic Optimization in Surface Plasmon Resonance.
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Autorzy:
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Xia G; National Engineering Laboratory of Special Display Technology, National Key Laboratory of Advanced Display Technology, Academy of Photoelectric Technology, Hefei University of Technology, Hefei 230009, China. .
Zhou C; National Engineering Laboratory of Special Display Technology, National Key Laboratory of Advanced Display Technology, Academy of Photoelectric Technology, Hefei University of Technology, Hefei 230009, China. .
Jin S; National Engineering Laboratory of Special Display Technology, National Key Laboratory of Advanced Display Technology, Academy of Photoelectric Technology, Hefei University of Technology, Hefei 230009, China. shq_.
Huang C; Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China. .; University of Science and Technology of China, Hefei 230026, China. .; Key Laboratory of Optical Calibration and Characterization, Chinese Academy of Sciences, Hefei 230031, China. .
Xing J; School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei 230009, China. .
Liu Z; School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei 230009, China. .
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Źródło:
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Sensors (Basel, Switzerland) [Sensors (Basel)] 2019 Mar 08; Vol. 19 (5). Date of Electronic Publication: 2019 Mar 08.
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Typ publikacji:
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Journal Article
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Język:
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English
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Imprint Name(s):
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Original Publication: Basel, Switzerland : MDPI, c2000-
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References:
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Contributed Indexing:
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Keywords: sensitivity; sensor; surface plasmon resonance; two-dimensional materials
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Entry Date(s):
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Date Created: 20190313 Date Completed: 20190313 Latest Revision: 20200225
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Update Code:
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20240105
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PubMed Central ID:
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PMC6427556
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DOI:
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10.3390/s19051198
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PMID:
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30857251
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Sensitivity is an important performance index for evaluating surface plasmon resonance (SPR) biosensors. Sensitivity enhancement has always been a hot topic. It is found that the different refractive indices of samples require different combinations of prism and metal film for better sensitivity. Furthermore, the sensitivity can be enhanced by coating two-dimensional (2D) materials with appropriate layers on the metal film. At this time, it is necessary to choose the best film configuration to enhance sensitivity. With the emergence of more and more 2D materials, selecting the best configuration manually is becoming more complicated. Compared with the traditional manual method of selecting materials and layers, this paper proposes an optimization method based on a genetic algorithm to quickly and effectively find the optimal film configuration that enhances sensitivity. By using this method, not only can the optimal number of layers of 2D materials be determined quickly, but also the optimal configuration can be conveniently found when many materials are available. The maximum sensitivity can reach 400°/RIU after optimization. The method provided application value for the relevant researchers seeking to enhance sensitivity.
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