Evidence map›Paper›PMID 34020221›Full record

ArticleBiosensors & bioelectronics2021

HRPZyme Assisted Recognition of SARS-CoV-2 infection by Optical Measurement (HARIOM).

Mohd Ahmad, Pooja Sharma, Asangla Kamai, Anurag Agrawal, Mohammed Faruq, Ankur Kulshreshtha

Abstract read
In one paragraph

Article in Biosensors & bioelectronics, 2021. 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
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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

6 authors.

Mohd AhmadMolecular Immunogenetics Laboratory, CSIR-Institute of Genomics and Integrative Biology, Mall Road, Delhi 110007, India.
Pooja SharmaGenomics and Other Omics Tools for Enabling Medical Decision (GOMED), CSIR-Institute of Genomics and Integrative Biology, Mall Road, Delhi, 110007, India.
Asangla KamaiGenomics and Other Omics Tools for Enabling Medical Decision (GOMED), CSIR-Institute of Genomics and Integrative Biology, Mall Road, Delhi, 110007, India.
Anurag AgrawalMolecular Immunogenetics Laboratory, CSIR-Institute of Genomics and Integrative Biology, Mall Road, Delhi 110007, India.
Mohammed FaruqGenomics and Other Omics Tools for Enabling Medical Decision (GOMED), CSIR-Institute of Genomics and Integrative Biology, Mall Road, Delhi, 110007, India.
Ankur KulshreshthaMolecular Immunogenetics Laboratory, CSIR-Institute of Genomics and Integrative Biology, Mall Road, Delhi 110007, India. Electronic address: ankur.kulshreshtha@igib.res.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In order to define public health policies, simple, inexpensive and robust detection methods for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are vital for mass-testing in resource limited settings. The current choice of molecular methods for identification of SARS-CoV-2 infection includes nucleic acid-based testing (NAT) for viral genetic material and antigen-based testing for viral protein identification. Host exposure is detected using antibody detection assays. While NATs require sophisticated instrument and trained manpower, antigen tests are plagued by their low sensitivity and specificity. Thus, a test offering sensitive detection for presence of infection as a colorimetric readout holds promise to enable mass testing in resource constrained environments by minimally trained personnel. Here we present a novel HRPZyme Assisted Recognition of Infection by Optical Measurement (HARIOM) assay which combines specificity of NATs with sensitivity of enzymatic assays resulting in enhanced signal to noise ratios in an easily interpretable colorimetric readout. Using this assay, we could detect up to 10

Indexed as

Biosensing TechniquesCOVID-19HumansNucleic Acid Amplification TechniquesRNA, ViralSalivaSARS-CoV-2Sensitivity and SpecificityRNA, ViralColorimetric detectionCOVID-19DNAZymeHRPZymeOn-site diagnostics

Identifiers

PMID34020221
PMCPMC8088041

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.