Quantum-Enhanced Detection of Viral cDNA via Luminescence Resonance Energy Transfer Using Upconversion and Gold Nanoparticles
Shahriar Esmaeili, Navid Rajil, Ayla Hazrathosseini, Benjamin W., Neuman, Masfer H. Alkahtani, Dipankar Sen, Qiang Hu, Hung-Jen Wu, Zhenhuan, Yi, Robert W. Brick, Alexei V. Sokolov, Philip R. Hemmer, Marlan O. Scully

TL;DR
This paper presents a highly sensitive and specific method for detecting SARS-CoV-2 cDNA using luminescence resonance energy transfer between upconversion and gold nanoparticles, enabling rapid and precise viral diagnostics.
Contribution
It introduces a novel LRET-based sensing platform with unprecedented detection limits and enhanced specificity for SARS-CoV-2 cDNA detection, surpassing existing methods.
Findings
Detection limit of 242 fM achieved
High quenching efficiency range demonstrated
Superior sensitivity and specificity compared to current methods
Abstract
The COVID-19 pandemic has profoundly impacted global economies and healthcare systems, revealing critical vulnerabilities in both. In response, our study introduces a groundbreaking method for the detection of SARS-CoV-2 cDNA, leveraging Luminescence resonance energy transfer (LRET) between upconversion nanoparticles (UCNPs) and gold nanoparticles (AuNPs) to achieve an unprecedented detection limit of 242 femtomolar (fM). 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 DNA sequences and significantly enhancing 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…
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Taxonomy
MethodsGumbel Softmax · Differentiable Neural Architecture Search
