Quantum-enhanced detection of viral cDNA via luminescence resonance energy transfer using upconversion and gold nanoparticles

Journal Article · 30 March 2025 · Nanophotonics

DOI: https://doi.org/10.1515/nanoph-2024-0663 · OSTI ID:2543156

Esmaeili, Shahriar  ^[1]; Rajil, Navid ^[1]; Hazrathosseini, Ayla  ^[1]; Neuman, Benjamin W. ^[2]; Alkahtani, Masfer H. ^[3]; Sen, Dipankar  ^[1]; Hu, Qiang ^[4]; Wu, Hung-Jen ^[4]; Yi, Zhenhuan  ^[1]; Brick, Robert W. ^[5]; Sokolov, Alexei V.  ^[6]; Hemmer, Philip R. ^[6]; Scully, Marlan O.  ^[1]

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1. Institute for Quantum Science and Engineering , Texas A&M University , College Station , TX 77843 , USA, Department of Physics and Astronomy , Texas A&M University , College Station , TX 77843 , USA
2. Department of Biology , Texas A&M University , College Station , TX 77843 , USA
3. King Abdulaziz City for Science and Technology (KACST) , Riyadh 11442 , Saudi Arabia
4. Department of Chemical Engineering , Texas A&M University , College Station , TX 77843 , USA
5. Institute for Quantum Science and Engineering , Texas A&M University , College Station , TX 77843 , USA
6. Institute for Quantum Science and Engineering , Texas A&M University , College Station , TX 77843 , USA, Department of Physics and Astronomy , Texas A&M University , College Station , TX 77843 , USA, Department of Electrical and Computer Engineering , Texas A&M University , College Station , TX 77843 , USA

Abstract The COVID-19 pandemic has profoundly impacted global economies and healthcare systems, revealing critical vulnerabilities in both. In response, our study introduces a sensitive and highly specific detection method for cDNA, leveraging Luminescence Resonance Energy Transfer (LRET) between upconversion nanoparticles (UCNPs) and gold nanoparticles (AuNPs), and achieves a detection limit of 242 fM for SARS-CoV-2 cDNA. This innovative sensing platform utilizes UCNPs conjugated with one primer and AuNPs with another, targeting the 5′ and 3′ ends of the SARS-CoV-2 cDNA, respectively, enabling precise differentiation of mismatched cDNA sequences and significantly improving detection specificity. Through rigorous experimental analysis, we established a quenching efficiency range from 10.4 % to 73.6 %, with an optimal midpoint of 42 %, thereby demonstrating the superior sensitivity of our method. Our work uses SARS-CoV-2 cDNA as a model system to demonstrate the potential of our LRET-based detection method. This proof-of-concept study highlights the adaptability of our platform for future diagnostic applications. Instrumental validation confirms the synthesis and formation of AuNPs, addressing the need for experimental verification of the preparation of nanomaterial. Our comparative analysis with existing SARS-CoV-2 detection methods revealed that our approach provides a low detection limit and high specificity for target cDNA sequences, underscoring its potential for targeted COVID-19 diagnostics. This study demonstrates the superior sensitivity and adaptability of using UCNPs and AuNPs for cDNA detection, offering significant advances in rapid, accessible diagnostic technologies. Our method, characterized by its low detection limit and high precision, represents a critical step forward in developing next-generation biosensors for managing current and future viral outbreaks. By adjusting primer sequences, this platform can be tailored to detect other pathogens, contributing to the enhancement of global healthcare responsiveness and infectious disease control.

• Sponsoring Organization: USDOE Office of Science (SC), Biological and Environmental Research (BER)
• Grant/Contract Number: SC0023103
• OSTI ID: 2543156
• Journal Information: Nanophotonics, Journal Name: Nanophotonics; ISSN 2192-8606
• Publisher: Walter de Gruyter GmbHCopyright Statement
• Country of Publication: Germany
• Language: English