Evidence map›Paper›PMID 41246509›Full record

ArticleNanophotonics (Berlin, Germany)2025

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 and 3 more

Abstract read
In one paragraph

Article in Nanophotonics (Berlin, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Shahriar EsmaeiliInstitute for Quantum Science and Engineering, Texas A&M University, College Station, TX 77843, USA.ORCID https://orcid.org/0000-0002-2127-0398
Navid RajilInstitute for Quantum Science and Engineering, Texas A&M University, College Station, TX 77843, USA.
Ayla HazrathosseiniInstitute for Quantum Science and Engineering, Texas A&M University, College Station, TX 77843, USA.ORCID https://orcid.org/0000-0002-8072-0053
Benjamin W NeumanDepartment of Biology, Texas A&M University, College Station, TX 77843, USA.
Masfer H AlkahtaniKing Abdulaziz City for Science and Technology (KACST), Riyadh 11442, Saudi Arabia.
Dipankar SenInstitute for Quantum Science and Engineering, Texas A&M University, College Station, TX 77843, USA.ORCID https://orcid.org/0009-0009-4099-2175
Qiang HuDepartment of Chemical Engineering, Texas A&M University, College Station, TX 77843, USA.
Hung-Jen WuDepartment of Chemical Engineering, Texas A&M University, College Station, TX 77843, USA.
Zhenhuan YiInstitute for Quantum Science and Engineering, Texas A&M University, College Station, TX 77843, USA.ORCID https://orcid.org/0000-0003-4827-1013
Robert W BrickInstitute for Quantum Science and Engineering, Texas A&M University, College Station, TX 77843, USA.
Alexei V SokolovInstitute for Quantum Science and Engineering, Texas A&M University, College Station, TX 77843, USA.ORCID https://orcid.org/0000-0002-6879-7840
Philip R HemmerInstitute for Quantum Science and Engineering, Texas A&M University, College Station, TX 77843, USA.
Marlan O ScullyInstitute for Quantum Science and Engineering, Texas A&M University, College Station, TX 77843, USA.ORCID https://orcid.org/0000-0001-6397-4927

Funding

Design of hetero-multivalent targeted liposome for combating intracellular Mycobacterium tuberculosisR21AI149383 · NIAID · TEXAS ENGINEERING EXPERIMENT STATION · PI CIRILLO, JEFFREY D., WU, HUNG-JEN · 2020 to 2021
$416k
Study the interaction between Lipopolysaccharide-Binding Protein and Immune Cell MembranesR03AI139650 · NIAID · TEXAS ENGINEERING EXPERIMENT STATION · PI JAYARAMAN, ARUL, WU, HUNG-JEN · 2019 to 2020
$149k
NIAID NIH HHS R03 AI139650NIAID NIH HHS R21 AI149383
6 · The paper itself

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.

Indexed as

cDNAluminescence resonance energy transfer (LRET)quantum sensingSARS-CoV-2upconversion nanoparticles

Identifiers

PMID41246509
PMCPMC12617699

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.