Evidence map›Paper›PMID 39713037›Full record

ArticleACS measurement science au2024

Ready-To-Use Microwave Sensor Modified by Antibody-AuNPs Nanoconjugate for Highly Sensitive and Selective Detection of the SARS-CoV-2 Virus.

Jin Wang, Weijia Cui, Carolyn L Ren, Emmanuel A Ho

Abstract read
In one paragraph

Article in ACS measurement science au, 2024. 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. Article
  2. Methods for the Investigation of Protein-Ligands Interactions.Advances in experimental medicine and biology · 2026
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jin WangSchool of Pharmacy, Faculty of Science, University of Waterloo, 10 Victoria St S A, Kitchener, ON N2G 1C5, Canada.
Weijia CuiDepartment of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Ave. W, Waterloo, ON N2L 3G1, Canada.
Carolyn L RenDepartment of Mechanical and Mechatronics Engineering, University of Waterloo, 200 University Ave. W, Waterloo, ON N2L 3G1, Canada.ORCID https://orcid.org/0000-0002-9249-7397
Emmanuel A HoSchool of Pharmacy, Faculty of Science, University of Waterloo, 10 Victoria St S A, Kitchener, ON N2G 1C5, Canada.ORCID https://orcid.org/0000-0003-4729-9970

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 outbreak has led to notable developments in point-of-care (POC) diagnostic devices, as they can be valuable resources in identifying and managing the spread of the pandemic. Currently, the majority of techniques demand advanced laboratory equipment and professionals to execute precise, efficient, accurate, and sensitive testing. In this work, we report a new method to significantly enhance the sensitivity of microwave sensing of the SARS-CoV-2 virus by functionalizing the sensor surface using anti-SARS-CoV-2 spike antibody-gold nanoparticle (AuNPs) conjugates. AuNPs were surface-functionalized with the antispike antibody by EDC/NHS chemistry via PEG as a linker to form the conjugate (Ab-PEG-AuNPs). The Ab-PEG-AuNPs nanoconjugate was then coated onto the sensor through APTES and used for selectively capturing the spike protein on the SARS-CoV-2 virus. The sensing performance of the modified sensor was demonstrated via both experimental measurements and numerical simulations. Our sensor exhibited high sensitivity, achieving a limit of detection of 1,000 copies/mL of the SARS-CoV-2 virus within a 60 min time frame while requiring a minimal sample volume of 100 μL. The sensor exhibits outstanding specificity in distinguishing SARS-CoV-2 from other viruses, including influenza A and B, SARS-CoV-1, and MERS-CoV. Overall, this sensor provides a sensitive and label-free alternative for COVID-19 POC diagnosis.

Identifiers

PMID39713037
PMCPMC11659989

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Registered trials

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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.