Evidence map›Paper›PMID 30216055›Full record

ReviewBioconjugate chemistry2018

Guide to Selecting a Biorecognition Element for Biosensors.

Marissa A Morales, Jeffrey Mark Halpern

Abstract readReview
In one paragraph

Review in Bioconjugate chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 139 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
139citing papers in PubMed, 1 pooled it
–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

139 citing papers in PubMed, 1 synthesis or guideline pooled it.

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79 more citing papers are in PubMed but not listed here.

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.

Marissa A MoralesDepartment of Chemical Engineering , University of New Hampshire , Durham , New Hampshire 03824 , United States.
Jeffrey Mark HalpernDepartment of Chemical Engineering , University of New Hampshire , Durham , New Hampshire 03824 , United States.ORCID 0000-0003-0814-1986

Funding

TLR-TRIF mediated induction of GLI3 modulates innate inflammatory responsesP20GM113131 · NIGMS · UNIVERSITY OF NEW HAMPSHIRE · PI DON Michael WOJCHOWSKI · 2017 to 2026
$22.8M
NIGMS NIH HHS P20 GM113131
6 · The paper itself

Abstract

Biosensors are powerful diagnostic tools defined as having a biorecognition element for analyte specificity and a transducer for a quantifiable signal. There are a variety of different biorecognition elements, each with unique characteristics. Understanding the advantages and disadvantages of each biorecognition element and their influence on overall biosensor performance is crucial in the planning stages to promote the success of novel biosensor development. Therefore, this review will focus on selecting the optimal biorecognition element in the preliminary design phase for novel biosensors. Included is a review of the typical characteristics and binding mechanisms of various biorecognition elements, and how they relate to biosensor performance characteristics, specifically sensitivity, selectivity, reproducibility, and reusability. The goal is to point toward language needed to improve the design and development of biosensors toward clinical success.

Indexed as

Biosensing TechniquesAntibodiesAptamers, NucleotideBinding SitesEnzymesEquipment ReuseMolecular ImprintingNucleic AcidsPolymersReproducibility of ResultsSensitivity and SpecificityAntibodiesAptamers, NucleotideEnzymesNucleic AcidsPolymers

Identifiers

PMID30216055
PMCPMC6416154

What OpenQuestion holds

Textmetadata
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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.