Evidence map›Paper›PMID 23828095›Full record

ArticlePhysical chemistry chemical physics : PCCP2013

Prospects for graphene-nanoparticle-based hybrid sensors.

Perry T Yin, Tae-Hyung Kim, Jeong-Woo Choi, Ki-Bum Lee

Abstract read
In one paragraph

Article in Physical chemistry chemical physics : PCCP, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
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  9. 2D materials in electrochemical sensors for in vitro or in vivo use.Analytical and bioanalytical chemistry · 2021
    Review
  10. Review
  11. Article
  12. Article
  13. Review
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  19. Graphene: The Missing Piece for Cancer Diagnosis?Sensors (Basel, Switzerland) · 2016
    Review
  20. Article
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.

Perry T YinDepartment of Biomedical Engineering, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.
Tae-Hyung Kim
Jeong-Woo Choi
Ki-Bum Lee

Funding

UMDNJ TRAINING GRANT IN BIOTECHNOLOGYT32GM008339 · NIGMS · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI YARMUSH, MARTIN L · 1989 to 2019
$6.1M
NIGMS NIH HHS T32 GM008339
6 · The paper itself

Abstract

Graphene is a single-atom thick, two-dimensional sheet of carbon that is characterized by exceptional chemical, electrical, material, optical, and physical properties. As a result, graphene and related materials, such as graphene oxide and reduced graphene oxide, have been brought to the forefront in the field of sensing. Recently, a number of reports have demonstrated that graphene-nanoparticle hybrid structures can act synergistically to offer a number of unique physicochemical properties that are desirable and advantageous for sensing applications. These graphene-nanoparticle hybrid structures are particularly interesting because not only do they display the individual properties of the nanoparticles and of graphene, but they can also exhibit additional synergistic properties thereby enhancing the achievable sensitivity and selectivity using a variety of sensing mechanisms. As such, in this perspective, we will discuss the progress that has been made in the development and application of graphene-nanoparticle hybrid sensors and their future prospects. In particular, we will focus on the preparation of graphene-nanoparticle hybrid structures as well as their application in electronic, electrochemical, and optical sensors.

Indexed as

Electrochemical TechniquesGraphiteNanoparticlesOptical DevicesGraphite

Identifiers

PMID23828095
PMCPMC4098788

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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.