Evidence map›Paper›PMID 33242844›Full record

ArticleNanotechnology2021

Green synthesis as a simple and rapid route to protein modified magnetic nanoparticles for use in the development of a fluorometric molecularly imprinted polymer-based assay for detection of myoglobin.

Mark V Sullivan, William J Stockburn, Philippa C Hawes, Tim Mercer, Subrayal M Reddy

Open access · hybridAbstract read
In one paragraph

Article in Nanotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
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  8. Wearable biosensors for human fatigue diagnosis: A review.Bioengineering & translational medicine · 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

5 authors at 2 institutions in 1 country.

Mark V SullivanResearch Centre for Smart Materials, Department of Chemistry, School of Natural Sciences, University of Central Lancashire, Preston, PR1 2HE, United Kingdom.ORCID 0000-0002-1771-8268
William J StockburnDivision of Forensic and Applied Sciences, School of Natural Sciences, University of Central Lancashire, Preston, PR1 2HE, United Kingdom.
Philippa C HawesThe Pirbright Institute, Ash Road, Pirbright, Woking, Surrey, GU24 0NF, United Kingdom.
Tim MercerJeremiah Horrocks Institute for Mathematics, Physics and Astronomy, School of Natural Sciences University of Central Lancashire, Preston, PR1 2HE, United Kingdom.ORCID 0000-0002-1557-2138
Subrayal M ReddyResearch Centre for Smart Materials, Department of Chemistry, School of Natural Sciences, University of Central Lancashire, Preston, PR1 2HE, United Kingdom.
University of Lancashire · GBThe Pirbright Institute · GB

Funding

Biotechnology and Biological Sciences Research Council BBS/E/I/00007039Wellcome Trust
6 · The paper itself

Abstract

We have developed a low-cost molecularly imprinted polymer (MIP)-based fluorometric assay to directly quantify myoglobin in a biological sample. The assay uses a previously unreported method for the development of microwave-assisted rapid synthesis of aldehyde functionalized magnetic nanoparticles, in just 20 min. The aldehyde functionalized nanoparticles have an average size of 7.5 nm ± 1.8 and saturation magnetizations of 31.8 emu g

Indexed as

AdsorptionAnimalsGreen Chemistry TechnologyHumansMagnetite NanoparticlesMicrowavesMolecular ImprintingMolecularly Imprinted PolymersMyoglobinSerum Albumin, BovineSpectrometry, FluorescenceMagnetite NanoparticlesMolecularly Imprinted PolymersMyoglobinSerum Albumin, Bovine

Identifiers

PMID33242844
PMCPMC8314874
OpenAlexW3109748111

What OpenQuestion holds

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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.