Evidence map›Paper›PMID 33515985›Full record

ArticleBiosensors & bioelectronics2021

Development of a portable MIP-based electrochemical sensor for detection of SARS-CoV-2 antigen.

Abdul Raziq, Anna Kidakova, Roman Boroznjak, Jekaterina Reut, Andres Öpik, Vitali Syritski

Open access · greenAbstract readEvaluation Study
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 163 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
163citing papers in PubMed, 1 pooled it
24.3field-weighted citation impact, top 1% 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

163 citing papers in PubMed, 1 synthesis or guideline pooled it, 434 citations in OpenAlex.

  1. Pooled it
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  8. Mpox disease, diagnosis, and point of care platforms.Bioengineering & translational medicine · 2025
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103 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Abdul RaziqDepartment of Materials and Environmental Technology, Tallinn University of Technology, Ehitajate tee 5, 19086, Tallinn, Estonia.
Anna KidakovaDepartment of Materials and Environmental Technology, Tallinn University of Technology, Ehitajate tee 5, 19086, Tallinn, Estonia.
Roman BoroznjakDepartment of Materials and Environmental Technology, Tallinn University of Technology, Ehitajate tee 5, 19086, Tallinn, Estonia.
Jekaterina ReutDepartment of Materials and Environmental Technology, Tallinn University of Technology, Ehitajate tee 5, 19086, Tallinn, Estonia.
Andres ÖpikDepartment of Materials and Environmental Technology, Tallinn University of Technology, Ehitajate tee 5, 19086, Tallinn, Estonia.
Vitali SyritskiDepartment of Materials and Environmental Technology, Tallinn University of Technology, Ehitajate tee 5, 19086, Tallinn, Estonia. Electronic address: vitali.syritski@taltech.ee.
Tallinn University of Technology · EE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current COVID-19 pandemic caused by SARS-CoV-2 coronavirus is expanding around the globe. Hence, accurate and cheap portable sensors are crucially important for the clinical diagnosis of COVID-19. Molecularly imprinted polymers (MIPs) as robust synthetic molecular recognition materials with antibody-like ability to bind and discriminate between molecules can perfectly serve in building selective elements in such sensors. Herein, we report for the first time on the development of a MIP-based electrochemical sensor for detection of SARS-CoV-2 nucleoprotein (ncovNP). A key element of the sensor is a disposable sensor chip - thin film electrode - interfaced with a MIP-endowed selectivity for ncovNP and connected with a portable potentiostat. The resulting ncovNP sensor showed a linear response to ncovNP in the lysis buffer up to 111 fM with a detection and quantification limit of 15 fM and 50 fM, respectively. Notably, the sensor was capable of signaling ncovNP presence in nasopharyngeal swab samples of COVID-19 positive patients. The presented strategy unlocks a new route for the development of rapid COVID-19 diagnostic tools.

Indexed as

Antigens, ViralBiosensing TechniquesCoronavirus Nucleocapsid ProteinsCOVID-19COVID-19 TestingElectrochemical TechniquesEquipment DesignFeasibility StudiesHumansMolecular ImprintingNasopharynxPandemicsPhosphoproteinsPolymersSARS-CoV-2Antigens, ViralCoronavirus Nucleocapsid Proteinsnucleocapsid phosphoprotein, SARS-CoV-2PhosphoproteinsPolymersCOVID-19 antigen testElectrochemical sensorMolecularly imprinted polymerSARS-CoV-2 nucleoprotein

Identifiers

PMID33515985
PMCPMC7826012
OpenAlexW3123452171

What OpenQuestion 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 OpenQuestion graph.