Evidence map›Paper›PMID 24392222›Full record

ArticleJournal of materials chemistry. B2014

Nanomaterials and biomaterials in electrochemical arrays for protein detection.

James F Rusling, Gregory W Bishop, Nhi Doan, Fotios Papadimitrakopoulos

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of materials chemistry. B, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
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  7. FeBiosensors & bioelectronics · 2017
    Article
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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.

James F RuslingDepartment of Chemistry, University of Connecticut, 55 North Eagleville Road, Storrs, Connecticut 06269, USA ; Institute of Materials Science, University of Connecticut, Storrs, CT 06269-3136, USA ; Department of Cell Biology, University of Connecticut Health Center, Farmington, Connecticut 06032, USA ; School of Chemistry, National University of Ireland at Galway, Ireland.
Gregory W BishopDepartment of Chemistry, University of Connecticut, 55 North Eagleville Road, Storrs, Connecticut 06269, USA.
Nhi DoanDepartment of Chemistry, University of Connecticut, 55 North Eagleville Road, Storrs, Connecticut 06269, USA.
Fotios PapadimitrakopoulosDepartment of Chemistry, University of Connecticut, 55 North Eagleville Road, Storrs, Connecticut 06269, USA ; Institute of Materials Science, University of Connecticut, Storrs, CT 06269-3136, USA.

Funding

Protein Biosensor Arrays Based on NanomaterialsR01EB014586 · NIBIB · UNIVERSITY OF CONNECTICUT STORRS · PI RUSLING, JAMES F. · 2011 to 2014
$1.4M
NIBIB NIH HHS R01 EB014586
6 · The paper itself

Abstract

Nanomaterials and biomaterials are important components of new electrochemical arrays designed for sensitive detection of proteins in biological fluids. Such multiplexed protein arrays are predicted to have an important future in personalized medical diagnostics, especially for cancer and heart disease. Sandwich immunoassays for proteins benefit greatly in sensitivity from the use of nanostructured sensor surfaces and multilabeled detection strategies involving nano- or microparticles. In these assays, capture agents such as antibodies or aptamers are attached to sensor surfaces in the array. Target proteins with large binding constants for the affinity agents are captured from liquid samples with high efficiency, either on the sensors or on magnetic bioconjugate particles decorated with many copies of labels and antibodies. After target proteins are captured on the sensor surfaces, the labels are detected by electrochemical techniques. This feature article begins with an overview of the recent history of nanoparticles in electrochemical protein sensors, then moves on to specific examples from our own laboratories. We discuss fabrication of nanostructured sensors and arrays with the aim of multiplexed detection as well as reusability. Following this, we describe systems that integrate particle-based protein sensing with microfluidics for multiplexed protein detection. We end with predictions on the diagnostic future of protein detection.

Identifiers

PMID24392222
PMCPMC3878175

What OpenQuestion holds

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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.