Design and Analysis of a Plasmonic Metasurface-Based Graphene Sensor for Highly Sensitive and Label-Free Detection of COVID-19 Biomarkers

P., Nagarajan; Wekalao, Jacob; N., Ashokkumar; Patel, Shobhit K.

doi:10.1007/s11468-024-02442-x

Plasmonics

2024

DOI: 10.1007/s11468-024-02442-x

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Design and Analysis of a Plasmonic Metasurface-Based Graphene Sensor for Highly Sensitive and Label-Free Detection of COVID-19 Biomarkers

Nagarajan P.,

Jacob Wekalao,

Ashokkumar N.

et al.

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Cited by 9 publications

References 72 publications

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Design and Evaluation of Tunable Terahertz Metasurface Biosensor for Malaria Detection with Machine learning Optimization Using Artificial Intelligence

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Design and Analysis of a Plasmonic Metasurface-Based Graphene Sensor for Highly Sensitive and Label-Free Detection of COVID-19 Biomarkers

Cited by 9 publications

References 72 publications

Design and Evaluation of Tunable Terahertz Metasurface Biosensor for Malaria Detection with Machine learning Optimization Using Artificial Intelligence

Design and Evaluation of Tunable Terahertz Metasurface Biosensor for Malaria Detection with Machine learning Optimization Using Artificial Intelligence

Terahertz Plasmonic Biosensor Leveraging Ag-Au-Graphene Heterostructures for Quantitative Hemoglobin Analysis with Machine Learning Algorithms for Performance Optimization

Enhanced Fuel Adulteration Detection Using Surface Plasmon Resonance Biosensor with Machine Learning Optimization in the terahertz regime

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