Evidence map›Paper›PMID 34640920›Full record

ArticleSensors (Basel, Switzerland)2021

Optical Detection of SARS-CoV-2 Utilizing Antigen-Antibody Binding Interactions.

Mahmoud Al Ahmad, Farah Mustafa, Neena Panicker, Tahir A Rizvi

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. 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
0.3field-weighted citation impact, top 39% 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, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Special Issue "Computer Aided Diagnosis Sensors".Sensors (Basel, Switzerland) · 2022
    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

4 authors at 2 institutions in 1 country.

Mahmoud Al AhmadElectrical Engineering Department, United Arab Emirates University, Al Ain 15551, United Arab Emirates.ORCID 0000-0003-1243-5207
Farah MustafaZayed Center for Health Sciences, United Arab Emirates University, Al Ain 15551, United Arab Emirates.ORCID 0000-0002-1081-3756
Neena PanickerDepartment of Biochemistry, College of Medicine & Health Sciences, Al Ain 20000, United Arab Emirates.
Tahir A RizviZayed Center for Health Sciences, United Arab Emirates University, Al Ain 15551, United Arab Emirates.
Al Ain University · AEUnited Arab Emirates University · AE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus responsible for the coronavirus disease (COVID-19) pandemic, is sweeping the world today. This study investigates the optical detection of SARS-CoV-2, utilizing the antigen-antibody binding interactions utilizing a light source from a smart phone and a portable spectrophotometer. The proof-of-concept is shown by detecting soluble preparations of spike protein subunits from SARS-CoV-2, followed by detection of the actual binding potential of the SARS-CoV-2 proteins with their corresponding antigens. The measured binding interactions for RBD and NCP proteins with their corresponding antibodies under different conditions have been measured and analyzed. Based on these observations, a "hump or spike" in light intensity is observed when a specific molecular interaction takes place between two proteins. The optical responses could further be analyzed using the principle component analysis technique to enhance and allows precise detection of the specific target in a multi-protein mixture.

Indexed as

COVID-19Spike Glycoprotein, CoronavirusAntibodies, ViralHumansSARS-CoV-2Antibodies, ViralSpike Glycoprotein, CoronavirusCOVID-19NC proteinoptical detectionprotein–protein interactionsRBDSARS-CoV-2

Identifiers

PMID34640920
PMCPMC8512587
OpenAlexW3203469274

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.