Evidence map›Paper›PMID 34615526›Full record

ReviewJournal of nanobiotechnology2021

The promising use of nano-molecular imprinted templates for improved SARS-CoV-2 detection, drug delivery and research.

Alaa F Nahhas, Thomas J Webster

Open access · goldAbstract readReview
In one paragraph

Review in Journal of nanobiotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 43 citations in OpenAlex.

  1. Review
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  5. Development of an FePolymers · 2023
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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

2 authors at 2 institutions in 2 countries.

Alaa F NahhasBiochemistry Department, College of Science, King Abdulaziz University, Jeddah, 21589, Saudi Arabia. anahhas@kau.edu.sa.
Thomas J WebsterDepartment of Chemical Engineering, College of Engineering, Northeastern University, Boston, MA, 02115, United States.
King Abdulaziz University · SANortheastern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular imprinting (MI) is a technique that creates a template of a molecule for improving complementary binding sites in terms of size and shape to a peptide, protein, bacteria, mammalian cell, or virus on soft materials (such as polymers, hydrogels, or self-assembled materials). MI has been widely investigated for over 90 years in various industries but is now focused on improved tissue engineering, regenerative medicine, drug delivery, sensors, diagnostics, therapeutics and other medical applications. Molecular targets that have been studied so far in MI include those for the major antigenic determinants of microorganisms (like bacteria or viruses) leading to innovations in disease diagnosis via solid-phase extraction separation and biomimetic sensors. As such, although not widely investigated yet, MI demonstrates much promise for improving the detection of and treatment for the current Coronavirus Disease of 2019 (COVID-2019) pandemic as well as future pandemics. In this manner, this review will introduce the numerous applications of MI polymers, particularly using proteins and peptides, and how these MI polymers can be used as improved diagnostic and therapeutic tools for COVID-19.

Indexed as

AntibodiesCOVID-19Drug CarriersHumansMolecular ImprintingMolecularly Imprinted PolymersPeptidesProteinsReceptors, Cell SurfaceSARS-CoV-2AntibodiesDrug CarriersMolecularly Imprinted PolymersPeptidesProteinsReceptors, Cell SurfaceArtificial cell receptorsCOVID-19Molecular imprinted polymersNanocarriersPlastic antibody

Identifiers

PMID34615526
PMCPMC8492821
OpenAlexW3202608861

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.