[LGPR] Publication Success Series- Dr Nagarajan Pandian

#LGPR #SCI #PublicationSuccess

Dr Nagarajan Pandian, LGPR Postdoctoral Candidate at LUC Malaysia.

Plasmonics 20 6289–6302, (2025)

Journal Indexes: Impact factor 4.3 | CiteScore 0.2

Indexing: SCI & SCOPUS

H-Index: 77

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Overview

Plasmonics is a peer-reviewed journal that advances and reports on the interactions of free-metal electrons, Plasmons, and their applications.

• Covers theory, physics, and applications of surface plasmons in metals and emerging areas of nanotechnology, biophotonics, sensing, biochemistry, and medicine.

• Describes new plasmonic based devices, synthetic procedures for nanostructures preparation, and their optical properties.

• Presents reviews, rapid communications, letters to the editors, and technical and design notes.

Edited by Professor Chris D. Geddes, Director of the Institute of Fluorescence at the University of Maryland Baltimore County, Maryland, USA.

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Advanced FET-Compatible Graphene-Silver-Gold Multilayered High-Sensitivity Biosensor for Rapid COVID-19 Detection with Behavior Prediction

https://doi.org/10.1007/s11468-025-03197-9

P. Nagarajan

Lincoln University College, Petaling Jaya, Malaysia.

 Shashi Kant Gupta

 Lincoln University College, Petaling Jaya, Malaysia.

 Sai Kiran Oruganti

 Lincoln University College, Petaling Jaya, Malaysia.

Abstract

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The COVID-19 pandemic has highlighted major limitations in conventional diagnostic methods, including the slow turnaround time of RT-PCR assays and the reduced sensitivity of rapid antigen tests. In response, this study introduces a compact terahertz metasurface sensor that integrates advanced two-dimensional materials for rapid and highly sensitive detection of SARS-CoV-2. Sensor performance was optimized using COMSOL Multiphysics, with a focus on tuning the graphene chemical potential and incident angle to enhance resonance behavior. The optimized design achieved a sensitivity of 600 GHz/RIU and demonstrated strong absorption and electromagnetic field confinement at the resonant frequency of 0.31 THz. The structure exhibited resilience to fabrication-induced variations, ensuring consistent performance. Machine learning validation using the extra trees regressor model yielded 100% prediction accuracy, confirming the system’s robustness. To enhance integration potential, the sensor’s architecture is compatible with field-effect transistor (FET)-based biosensing for electrical detection and supports CMOS/VLSI-compatible fabrication, enabling scalable, low-power, chip-level deployment. This advanced optical sensing platform offers a powerful, point-of-care diagnostic solution, especially well-suited for deployment in resource-constrained healthcare environments‎.

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Cite this article

Nagarajan, P., Gupta, S.K., Oruganti, S.K. et al. Advanced FET-Compatible Graphene-Silver-Gold Multilayered High-Sensitivity Biosensor for Rapid COVID-19 Detection with Behavior Prediction. Plasmonics 20, 6289–6302 (2025). https://doi.org/10.1007/s11468-025-03197-9

Advanced FET-Compatible Graphene-Silver-Gold Multilayered High-Sensitivity Biosensor for Rapid COVID-19 Detection with Behavior Prediction.

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