Evidence map›Paper›PMID 36454708›Full record

ArticleACS sensors2022

Gold Nanourchins Improve Virus Targeting and Plasmonic Coupling for Virus Diagnosis on a Smartphone Platform.

Yaning Liu, Haihang Ye, Abdullah Bayram, Tingting Zhang, Qi Cai, Chen Xie, HoangDinh Huynh, Saquib Ahmed M A Peerzade, Jeffrey S Kahn, Zhenpeng Qin

Open access · greenAbstract read
In one paragraph

Article in ACS sensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 32% of its field
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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

10 authors at 3 institutions in 2 countries.

Yaning LiuDepartment of Mechanical Engineering, The University of Texas at Dallas, 800 West Campbell Road, Richardson, Texas75080, United States.ORCID 0000-0001-8970-7245
Haihang YeDepartment of Mechanical Engineering, The University of Texas at Dallas, 800 West Campbell Road, Richardson, Texas75080, United States.ORCID 0000-0002-5199-4418
Abdullah BayramDepartment of Mechanical Engineering, The University of Texas at Dallas, 800 West Campbell Road, Richardson, Texas75080, United States.ORCID 0000-0002-6077-517X
Tingting ZhangDepartment of Mechanical Engineering, The University of Texas at Dallas, 800 West Campbell Road, Richardson, Texas75080, United States.
Qi CaiDepartment of Mechanical Engineering, The University of Texas at Dallas, 800 West Campbell Road, Richardson, Texas75080, United States.ORCID 0000-0002-4820-805X
Chen XieDepartment of Mechanical Engineering, The University of Texas at Dallas, 800 West Campbell Road, Richardson, Texas75080, United States.
HoangDinh HuynhDepartment of Pediatrics, The University of Texas Southwestern Medical Center, 5323 Harry Lines Blvd, Dallas, Texas75390, United States.
Saquib Ahmed M A PeerzadeDepartment of Mechanical Engineering, The University of Texas at Dallas, 800 West Campbell Road, Richardson, Texas75080, United States.
Jeffrey S KahnDepartment of Pediatrics, The University of Texas Southwestern Medical Center, 5323 Harry Lines Blvd, Dallas, Texas75390, United States.
Zhenpeng QinDepartment of Mechanical Engineering, The University of Texas at Dallas, 800 West Campbell Road, Richardson, Texas75080, United States.ORCID 0000-0003-3406-3045
The University of Texas at Dallas · USThe University of Texas Southwestern Medical Center · USUniversity of Science and Technology of China · CN

Funding

Rapid Diagnostic Test for Respiratory Syncytial Virus by Digital NanobubblesR01AI151374 · NIAID · UNIVERSITY OF TEXAS DALLAS · PI QIN, ZHENPENG · 2020 to 2024
$2.5M
NIAID NIH HHS R01 AI151374
6 · The paper itself

Abstract

Point-of-care detection of pathogens is critical to monitor and combat viral infections. The plasmonic coupling assay (PCA) is a homogeneous assay and allows rapid, one-step, and colorimetric detection of intact viruses. However, PCA lacks sufficient sensitivity, necessitating further mechanistic studies to improve the detection performance of PCA. Here, we demonstrate that gold nanourchins (AuNUs) provide significantly improved colorimetric detection of viruses in PCA. Using respiratory syncytial virus (RSV) as a target, we demonstrate that the AuNU-based PCA achieves a detection limit of 1400 PFU/mL, or 17 genome equivalent copies/μL. Mechanistic studies suggest that the improved detection sensitivity arises from the higher virus-binding capability and stronger plasmonic coupling at long distances (∼10 nm) by AuNU probes. Furthermore, we demonstrate the virus detection with a portable smartphone-based spectrometer using RSV-spiked nasal swab clinical samples. Our study uncovers important mechanisms for the sensitive detection of intact viruses in PCA and provides a potential toolkit at the point of care.

Indexed as

Virus DiseasesVirusesGoldHumansPoint-of-Care SystemsSmartphoneGoldhomogeneous immunoassaysplasmonic couplingpoint-of-care diagnosticsrespiratory syncytial virussmartphone reader

Identifiers

PMID36454708
PMCPMC10061340
OpenAlexW4310496974

What OpenQuestion holds

Textmetadata
LicenceTDM
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.