Genetic Algorithm-Optimized Hyperbolic Metamaterial SPR Sensors for Ultrasensitive Biosensing Applications

), achieving an ultralow limit of detection (LOD) of 0.18 pg/mL. GA design provides a generalized approach to improving device performance and is expected to have a significant impact on the design and application of sensors.

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Publication Details

Journal
Analytical Chemistry
Published
2026-04-15
DOI
https://doi.org/10.1021/acs.analchem.5c07195
Primary Topic
Metamaterials and Metasurfaces Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Genetic Algorithm-Optimized Hyperbolic Metamaterial SPR Sensors for Ultrasensitive Biosensing Applications

Y LI, Aoqun Jian, Luxiao Sang, Yingxian Xue et al.
Analytical Chemistry
Metamaterials and Metasurfaces Applications
article

Genetic Algorithm-Optimized Hyperbolic Metamaterial SPR Sensors for Ultrasensitive Biosensing Applications

Y LI, Aoqun Jian, Luxiao Sang, Yingxian Xue, Zuxing Zhang, Ting Yan, Xianchuan Chen, Biao Zhao, Bin Wang, Min Li
article en

Abstract

), achieving an ultralow limit of detection (LOD) of 0.18 pg/mL. GA design provides a generalized approach to improving device performance and is expected to have a significant impact on the design and application of sensors.

Analytical ChemistryVol. 98(16)
Shanxi Medical University (CN), Center for Translational Molecular Medicine (NL), Artificial Intelligence in Medicine (Canada) (CA), PRG S&Tech (South Korea), Taiyuan University of Technology (CN)
National Natural Science Foundation of China, People's Government of Shanxi Province
Openalex Percentile: Top 25%
Metamaterials and Metasurfaces Applications
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