Evidence map›Paper›PMID 35564311›Full record

ReviewNanomaterials (Basel, Switzerland)2022

Nanoparticles for Coronavirus Control.

Maryam Kianpour, Mohsen Akbarian, Vladimir N Uversky

Abstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Artificial viruses: A nanotechnology based approach.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2024
    Review
  3. Article
  4. Advanced Nanomaterials in Biomedical Application.Nanomaterials (Basel, Switzerland) · 2023
    Article
  5. COVID-19 diagnostics: Molecular biology to nanomaterials.Clinica chimica acta; international journal of clinical chemistry · 2023
    Review
  6. Review
  7. 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

3 authors.

Maryam KianpourInstitute of Biomedical Sciences, National Sun Yat-sen University, Kaohsiung 804, Taiwan.ORCID 0000-0002-2484-7463
Mohsen AkbarianDepartment of Chemistry, National Cheng Kung University, Tainan 701, Taiwan.ORCID 0000-0002-2684-1727
Vladimir N UverskyDepartment of Molecular Medicine and Health Byrd Alzheimer's Institute, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA.ORCID 0000-0002-4037-5857

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

More than 2 years have passed since the SARS-CoV-2 outbreak began, and many challenges that existed at the beginning of this pandemic have been solved. Some countries have been able to overcome this global challenge by relying on vaccines against the virus, and vaccination has begun in many countries. Many of the proposed vaccines have nanoparticles as carriers, and there are different nano-based diagnostic approaches for rapid detection of the virus. In this review article, we briefly examine the biology of SARS-CoV-2, including the structure of the virus and what makes it pathogenic, as well as describe biotechnological methods of vaccine production, and types of the available and published nano-based ideas for overcoming the virus pandemic. Among these issues, various physical and chemical properties of nanoparticles are discussed to evaluate the optimal conditions for the production of the nano-mediated vaccines. At the end, challenges facing the international community and biotechnological answers for future viral attacks are reviewed.

Indexed as

coronavirusesdiagnostic nanoparticlesnanoparticlesvaccines

Identifiers

PMID35564311
PMCPMC9104235

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.