Evidence map›Paper›PMID 37519331›Full record

ArticleIn vitro models2022

A novel colorimetric biosensor for detecting SARS-CoV-2 by utilizing the interaction between nucleocapsid antibody and spike proteins.

Abhishek Bhattacharjee, Roberta M Sabino, Justin Gangwish, Vignesh K Manivasagam, Susan James, Ketul C Popat, Melissa Reynolds, Yan Vivian Li

Open access · bronzeAbstract read
In one paragraph

Article in In vitro models, 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
1.1field-weighted citation impact, top 26% 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, 11 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
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

8 authors at 1 institution in 1 country.

Abhishek BhattacharjeeSchool of Advanced Materials Discovery, Colorado State University, Fort Collins, CO USA.ORCID 0000-0002-2585-2993
Roberta M SabinoSchool of Advanced Materials Discovery, Colorado State University, Fort Collins, CO USA.ORCID 0000-0001-5919-5314
Justin GangwishSchool of Advanced Materials Discovery, Colorado State University, Fort Collins, CO USA.ORCID 0000-0002-6893-3638
Vignesh K ManivasagamDepartment of Mechanical Engineering, Colorado State University, Fort Collins, CO USA.ORCID 0000-0003-3697-7545
Susan JamesSchool of Advanced Materials Discovery, Colorado State University, Fort Collins, CO USA.
Ketul C PopatSchool of Advanced Materials Discovery, Colorado State University, Fort Collins, CO USA.ORCID 0000-0002-2417-7789
Melissa ReynoldsSchool of Biomedical Engineering, Colorado State University, Fort Collins, CO USA.ORCID 0000-0002-1836-7324
Yan Vivian LiSchool of Advanced Materials Discovery, Colorado State University, Fort Collins, CO USA.ORCID 0000-0001-8009-9773
Colorado State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 is a pandemic coronavirus that causes severe respiratory disease (COVID-19) in humans and is responsible for millions of deaths around the world since early 2020. The virus affects the human respiratory cells through its spike (S) proteins located at the outer shell. To monitor the rapid spreading of SARS-CoV-2 and to reduce the deaths from the COVID-19, early detection of SARS-CoV-2 is of utmost necessity. This report describes a flexible colorimetric biosensor capable of detecting the S protein of SARS-CoV-2. The colorimetric biosensor is made of polyurethane (PU)-polydiacetylene (PDA) nanofiber composite that was chemically functionalized to create a binding site for the receptor molecule-nucleocapsid antibody (anti-N) protein of SARS-CoV-2. After the anti-N protein conjugation to the functionalized PDA fibers, the PU-PDA-NHS-anti fiber was able to detect the S protein of SARS-CoV-2 at room temperature via a colorimetric transition from blue to red. The PU-PDA nanofiber-based biosensors are flexible and lightweight and do not require a power supply such as a battery when the colorimetric detection to S protein occurs, suggesting a sensing platform of wearable devices and personal protective equipment such as face masks and medical gowns for real-time monitoring of virus contraction and contamination. The wearable biosensors could significantly power mass surveillance technologies to fight against the COVID-19 pandemic. Graphical abstract: Supplementary Information: The online version contains supplementary material available at 10.1007/s44164-022-00022-z.

Indexed as

BiosensorCOVID-19NanofiberPolydiacetyleneSARS-CoV-2

Identifiers

PMID37519331
PMCPMC9156827
OpenAlexW4281741745

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.