Evidence map›Paper›PMID 27883023›Full record

ArticleScientific reports2016

A comparison of the performance of molecularly imprinted polymer nanoparticles for small molecule targets and antibodies in the ELISA format.

Katarzyna Smolinska-Kempisty, Antonio Guerreiro, Francesco Canfarotta, César Cáceres, Michael J Whitcombe, Sergey Piletsky

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
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

28 citing papers in PubMed.

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  20. Molecularly imprinted polymers in toxicology: a literature survey for the last 5 years.Environmental science and pollution research international · 2021
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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

6 authors.

Katarzyna Smolinska-KempistyDepartment of Chemistry, College of Science and Engineering, University of Leicester, LE1 7RH, UK.
Antonio GuerreiroDepartment of Chemistry, College of Science and Engineering, University of Leicester, LE1 7RH, UK.
Francesco CanfarottaDepartment of Chemistry, College of Science and Engineering, University of Leicester, LE1 7RH, UK.
César CáceresDepartment of Chemistry, College of Science and Engineering, University of Leicester, LE1 7RH, UK.
Michael J WhitcombeDepartment of Chemistry, College of Science and Engineering, University of Leicester, LE1 7RH, UK.
Sergey PiletskyDepartment of Chemistry, College of Science and Engineering, University of Leicester, LE1 7RH, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here we show that molecularly imprinted polymer nanoparticles, prepared in aqueous media by solid phase synthesis with immobilised L-thyroxine, glucosamine, fumonisin B2 or biotin as template, can demonstrate comparable or better performance to commercially produced antibodies in enzyme-linked competitive assays. Imprinted nanoparticles-based assays showed detection limits in the pM range and polymer-coated microplates are stable to storage at room temperature for at least 1 month. No response to analyte was detected in control experiments with nanoparticles imprinted with an unrelated template (trypsin) but prepared with the same polymer composition. The ease of preparation, high affinity of solid-phase synthesised imprinted nanoparticles and the lack of requirement for cold chain logistics make them an attractive alternative to traditional antibodies for use in immunoassays.

Indexed as

Enzyme-Linked Immunosorbent AssayAntibodiesCalibrationDynamic Light ScatteringLimit of DetectionMolecular ImprintingNanoparticlesParticle SizePolymersSmall Molecule LibrariesAntibodiesPolymersSmall Molecule Libraries

Identifiers

PMID27883023
PMCPMC5121619

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Registered trials

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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.