Evidence mapPaperPMID 38703305Full record

ReviewMolecular biotechnology2025

Emerging Trends of Gold Nanostructures for Point-of-Care Biosensor-Based Detection of COVID-19.

Akhilesh Kumar Yadav, Nagaraj Basavegowda, Saba Shirin, Shiji Raju, Rajkumar Sekar, Prathap Somu, U T Uthappa, Gholamreza Abdi

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In one paragraph

Review in Molecular biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Review
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  5. Article
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

8 authors.

Akhilesh Kumar Yadav *Department of Environmental Engineering and Management, Chaoyang University of Technology, Taichung, 413310, Taiwan.
Nagaraj Basavegowda *Department of Biotechnology, Yeungnam University, Gyeongsan, 38451, Republic of Korea.
Saba ShirinDepartment of Mining Engineering, Indian Institute of Technology (Banaras Hindu University), Varanasi, 221005, India.
Shiji RajuBioengineering and Nano Medicine Group, Faculty of Medicine and Health Technology, Tampere University, 33720, Tampere, Finland.
Rajkumar Sekar *Department of Chemistry, Karpaga Vinayaga College of Engineering and Technology, GST Road, Chinna Kolambakkam, Chengalpattu, Tamil Nadu, 603308, India.
Prathap SomuDepartment of Biotechnology and Chemical Engineering, School of Civil, Biotechnology and Chemical Engineering, Manipal University Jaipur, Dehmi Kalan, Off. Jaipur-Ajmeer Expressway, Jaipur, Rajasthan, 303007, India. prathaps1987@gmail.com.
U T UthappaCollege of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, 518055, China.
Gholamreza AbdiDepartment of Biotechnology, Persian Gulf Research Institute, Persian Gulf University, Bushehr, 75169, Iran. abdi@pgu.ac.ir.ORCID http://orcid.org/0000-0002-1983-4369

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2019, a worldwide pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged. SARS-CoV-2 is the deadly microorganism responsible for coronavirus disease 2019 (COVID-19), which has caused millions of deaths and irreversible health problems worldwide. To restrict the spread of SARS-CoV-2, accurate detection of COVID-19 is essential for the identification and control of infected cases. Although recent detection technologies such as the real-time polymerase chain reaction delivers an accurate diagnosis of SARS-CoV-2, they require a long processing duration, expensive equipment, and highly skilled personnel. Therefore, a rapid diagnosis with accurate results is indispensable to offer effective disease suppression. Nanotechnology is the backbone of current science and technology developments including nanoparticles (NPs) that can biomimic the corona and develop deep interaction with its proteins because of their identical structures on the nanoscale. Various NPs have been extensively applied in numerous medical applications, including implants, biosensors, drug delivery, and bioimaging. Among them, point-of-care biosensors mediated with gold nanoparticles (GNPSs) have received great attention due to their accurate sensing characteristics, which are widely used in the detection of amino acids, enzymes, DNA, and RNA in samples. GNPS have reconstructed the biomedical application of biosensors because of its outstanding physicochemical characteristics. This review provides an overview of emerging trends in GNP-mediated point-of-care biosensor strategies for diagnosing various mutated forms of human coronaviruses that incorporate different transducers and biomarkers. The review also specifically highlights trends in gold nanobiosensors for coronavirus detection, ranging from the initial COVID-19 outbreak to its subsequent evolution into a pandemic.

Indexed as

Biosensing TechniquesCOVID-19GoldMetal NanoparticlesPoint-of-Care SystemsSARS-CoV-2COVID-19 TestingHumansGoldBiomarkersCOVID-19 detectionGold nanoparticlesPoint-of-care deviceSARS-CoV-2

Identifiers

What Socratic holds

Textmetadata
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 Socratic graph.