Evidence map›Paper›PMID 31395843›Full record

ReviewSensors (Basel, Switzerland)2019

Evaluation of Molecularly Imprinted Polymers for Point-of-Care Testing for Cardiovascular Disease.

Brian Regan, Fiona Boyle, Richard O'Kennedy, David Collins

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 54 citations in OpenAlex.

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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

4 authors at 2 institutions in 2 countries.

Brian ReganSchool of Biotechnology, Dublin City University, Dublin 9, Ireland. brian.regan3@mail.dcu.ie.
Fiona BoyleSchool of Biotechnology, Dublin City University, Dublin 9, Ireland.
Richard O'KennedySchool of Biotechnology, Dublin City University, Dublin 9, Ireland.
David CollinsSchool of Biotechnology, Dublin City University, Dublin 9, Ireland.ORCID 0000-0003-2274-0889
Dublin City University · IEHamad bin Khalifa University · QA

Funding

Interreg X INT-VA5034/048
6 · The paper itself

Abstract

Molecular imprinting is a rapidly growing area of interest involving the synthesis of artificial recognition elements that enable the separation of analyte from a sample matrix and its determination. Traditionally, this approach can be successfully applied to small analyte (<1.5 kDa) separation/ extraction, but, more recently it is finding utility in biomimetic sensors. These sensors consist of a recognition element and a transducer similar to their biosensor counterparts, however, the fundamental distinction is that biomimetic sensors employ an artificial recognition element. Molecularly imprinted polymers (MIPs) employed as the recognition elements in biomimetic sensors contain binding sites complementary in shape and functionality to their target analyte. Despite the growing interest in molecularly imprinting techniques, the commercial adoption of this technology is yet to be widely realised for blood sample analysis. This review aims to assess the applicability of this technology for the point-of-care testing (POCT) of cardiovascular disease-related biomarkers. More specifically, molecular imprinting is critically evaluated with respect to the detection of cardiac biomarkers indicative of acute coronary syndrome (ACS), such as the cardiac troponins (cTns). The challenges associated with the synthesis of MIPs for protein detection are outlined, in addition to enhancement techniques that ultimately improve the analytical performance of biomimetic sensors. The mechanism of detection employed to convert the analyte concentration into a measurable signal in biomimetic sensors will be discussed. Furthermore, the analytical performance of these sensors will be compared with biosensors and their potential implementation within clinical settings will be considered. In addition, the most suitable application of these sensors for cardiovascular assessment will be presented.

Indexed as

Molecular ImprintingPoint-of-Care TestingBiomarkersBiomimeticsBiosensing TechniquesCardiovascular DiseasesHumansNanoparticlesPolymersTroponinBiomarkersPolymersTroponinbiomarker detectionbiomimetic sensorscardiac biomarkercardiovascular diseasemolecularly imprinted polymerspoint-of-care

Identifiers

PMID31395843
PMCPMC6720456
OpenAlexW2969075604

What OpenQuestion holds

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LicenceCC BY
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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.