Evidence map›Paper›PMID 36718387›Full record

ArticleAdvanced materials technologies2022

Rapid Conductometric Detection of SARS-CoV-2 Proteins and Its Variants Using Molecularly Imprinted Polymer Nanoparticles.

Ganganath S Perera, Md Ataur Rahman, April Blazevski, Alasdair Wood, Sumeet Walia, Madhu Bhaskaran, Sharath Sriram

Open access · hybridAbstract read
In one paragraph

Article in Advanced materials technologies, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

7 authors at 2 institutions in 2 countries.

Ganganath S PereraFunctional Materials and Microsystems Research Group and the Micro Nano Research Facility RMIT University Melbourne VIC 3001 Australia.ORCID https://orcid.org/0000-0002-6143-6671
Md Ataur RahmanFunctional Materials and Microsystems Research Group and the Micro Nano Research Facility RMIT University Melbourne VIC 3001 Australia.
April BlazevskiFunctional Materials and Microsystems Research Group and the Micro Nano Research Facility RMIT University Melbourne VIC 3001 Australia.
Alasdair WoodSoterius Pty Ltd. Melbourne Australia.
Sumeet WaliaFunctional Materials and Microsystems Research Group and the Micro Nano Research Facility RMIT University Melbourne VIC 3001 Australia.
Madhu BhaskaranFunctional Materials and Microsystems Research Group and the Micro Nano Research Facility RMIT University Melbourne VIC 3001 Australia.
Sharath SriramFunctional Materials and Microsystems Research Group and the Micro Nano Research Facility RMIT University Melbourne VIC 3001 Australia.
RMIT University · AUResearch Institute of Ukrainian Studies · UA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) biosensors have captured more attention than the conventional methodologies for SARS-CoV-2 detection due to having cost-effective platforms and fast detection. However, these reported SARS-CoV-2 biosensors suffer from drawbacks including issues in detection sensitivity, degradation of biomaterials on the sensor's surface, and incapability to reuse the biosensors. To overcome these shortcomings, molecularly imprinted polymer nanoparticles (nanoMIPs) incorporated conductometric biosensor for highly accurate, rapid, and selective detection of two model SARS-CoV-2 proteins: (i) receptor binding domain (RBD) of the spike (

Indexed as

conductometric biosensorCOVID‐19 variantsFHAMIPsRBD

Identifiers

PMID36718387
PMCPMC9877662
OpenAlexW4310671317

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.