Evidence map›Paper›PMID 38108890›Full record

ArticleMikrochimica acta2023

Rapid and sensitive detection of SARS-CoV-2 virus in human saliva samples using glycan based nanozyme: a clinical study.

Mehrdad Rokni, Tahereh Rohani Bastami, Zahra Meshkat, Hamid Reza Rahimi, Saeed Zibaee, Mojtaba Meshkat, Fatemeh Fotouhi, Elham Serki, Mahdieh Khoshakhlagh, Zeynab Dabirifar

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In one paragraph

Article in Mikrochimica acta, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

0 citing papers in PubMed, 10 citations in OpenAlex.

No citing paper in PubMed yet.

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 5 institutions in 1 country.

Mehrdad RokniDepartment of Chemical Engineering and Energy, Quchan University of Technology, Quchan, 94771-67335, Iran.
Tahereh Rohani BastamiDepartment of Chemical Engineering and Energy, Quchan University of Technology, Quchan, 94771-67335, Iran. tahereh.rohani@gmail.com.ORCID 0000-0003-4958-5305
Zahra MeshkatAntimicrobial Resistance Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. zmeshkat@gmail.com.
Hamid Reza RahimiDepartment of Medical Genetics and Molecular Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Saeed ZibaeeRazi Vaccine and Serum Research Institute, Agricultural Research, Education and Extension Organization (AREEO), Mashhad, Iran.
Mojtaba MeshkatDepartment of Community Medicine, Faculty of Medicine, Mashhad Medical Sciences, Islamic Azad University, Mashhad, Iran.
Fatemeh FotouhiDepartment of Influenza and Other Respiratory Viruses, Pasteur Institute of Iran, Tehran, Iran.
Elham SerkiDepartment of Clinical Biochemistry, Mashhad University of Medical Science, Mashhad, Iran Department of Medical Biochemistry, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Mahdieh KhoshakhlaghDepartment of Clinical Biochemistry, Mashhad University of Medical Science, Mashhad, Iran Department of Medical Biochemistry, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Zeynab DabirifarDepartment of Chemical Engineering and Energy, Quchan University of Technology, Quchan, 94771-67335, Iran.
Mashhad University of Medical Sciences · IRQuchan University of Advanced Technology · IRIslamic Azad University, Mashhad · IRPasteur Institute of Iran · IRRazi Vaccine and Serum Research Institute · IR

Funding

Mashhad University Science Research Council MUMS/992426
6 · The paper itself

Abstract

A highly sensitive colorimetric method (glycan-based nano(e)zyme) was developed for sensitive and rapid detection of the SARS-CoV-2 virus based on N-acetyl neuraminic acid (sialic acid)-functionalized gold nanoparticles (SA-Au NZs). A number of techniques were used to characterize the prepared nanomaterials including XRD, FT-IR, UV-vis, DLS, and TEM. DLS analysis indicates an average hydrodynamic size of 34 nm, whereas TEM analysis indicates an average particle size of 15.78 nm. This observation confirms that water interacts with nanoparticle surfaces, resulting in a large hydrodynamic diameter. The peroxidase-like activity of SA-Au NZs was examined with SARS-CoV-2 and influenza viruses (influenza A (H1N1), influenza A (H3N2), and influenza B). UV-visible spectroscopy was used to monitor and record the results, as well as naked eye detection (photographs). SA-Au NZs exhibit a change in color from light red to purple when SARS-CoV-2 is present, and they exhibit a redshift in their spectrum. N-acetyl neuraminic acid interacts with SARS-CoV-2 spike glycoprotein, confirming its ability to bind glycans. As a result, SA-Au NZs can detect COVID-19 with sensitivity and specificity of over 95% and 98%, respectively. This method was approved by testing saliva samples from 533 suspected individuals at Ghaem Hospital of Mashhad, Mashhad, Iran. Sensitivity and specificity were calculated by comparing the results with the definitive results. The positive results were accompanied by a color change from bright red to purple within five minutes. Statistical analysis was performed based on variables such as age, gender, smoking, diabetes, hypertension, and lung involvement. In clinical trials, it was demonstrated that this method can be used to diagnose SARS-CoV-2 in a variety of places, such as medical centers, hospitals, airports, universities, and schools.

Indexed as

COVID-19Influenza A Virus, H1N1 SubtypeInfluenza, HumanMetal NanoparticlesGoldHumansInfluenza A Virus, H3N2 SubtypeSalivaSARS-CoV-2Spectroscopy, Fourier Transform InfraredGoldColorimetric detectionFunctionalized Au nanoparticlesN-acetyl neuraminic acidNanozymeSARS-CoV-2 virusSpectrophotometry

Identifiers

PMID38108890
OpenAlexW4389884721

What OpenQuestion holds

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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.