Evidence map›Paper›PMID 38385442›Full record

ArticleNanoscale horizons2024

"Clickable" graphene nanoribbons for biosensor interfaces.

Roger Hasler, Gonzalo E Fenoy, Alicia Götz, Verónica Montes-García, Cataldo Valentini, Zijie Qiu, Christoph Kleber, Paolo Samorì, Klaus Müllen, Wolfgang Knoll

Abstract read
In one paragraph

Article in Nanoscale horizons, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

10 authors.

Roger HaslerAIT Austrian Institute of Technology GmbH, 3430 Tulln, Austria.ORCID http://orcid.org/0000-0002-0883-3053
Gonzalo E FenoyAIT Austrian Institute of Technology GmbH, 3430 Tulln, Austria.ORCID http://orcid.org/0000-0003-4336-4843
Alicia GötzMax Planck Institute for Polymer Research, Ackermannweg 10, D-55128 Mainz, Germany.
Verónica Montes-GarcíaUniversité de Strasbourg, CNRS, Institut de Science et d'Ingénierie Supramoléculaires, 8 allée Gaspard Monge, 67000 Strasbourg, France.ORCID http://orcid.org/0000-0002-3235-0545
Cataldo ValentiniUniversité de Strasbourg, CNRS, Institut de Science et d'Ingénierie Supramoléculaires, 8 allée Gaspard Monge, 67000 Strasbourg, France.ORCID http://orcid.org/0000-0001-5209-9338
Zijie QiuMax Planck Institute for Polymer Research, Ackermannweg 10, D-55128 Mainz, Germany.ORCID http://orcid.org/0000-0003-0728-1178
Christoph KleberLaboratory for Life Sciences and Technology (LiST), Faculty of Medicine and Dentistry, Danube Private University, 3500 Krems, Austria. wolfgang.knoll@dp-uni.ac.at.ORCID http://orcid.org/0000-0002-1868-4960
Paolo SamorìUniversité de Strasbourg, CNRS, Institut de Science et d'Ingénierie Supramoléculaires, 8 allée Gaspard Monge, 67000 Strasbourg, France.ORCID http://orcid.org/0000-0001-6256-8281
Klaus MüllenMax Planck Institute for Polymer Research, Ackermannweg 10, D-55128 Mainz, Germany.ORCID http://orcid.org/0000-0001-6630-8786
Wolfgang KnollAIT Austrian Institute of Technology GmbH, 3430 Tulln, Austria.ORCID http://orcid.org/0000-0003-1543-4090

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We report on the synthesis of "clickable" graphene nanoribbons (GNRs) and their application as a versatile interface for electrochemical biosensors. GNRs are successfully deposited on gold-coated working electrodes and serve as a platform for the covalent anchoring of a bioreceptor (

Indexed as

Biosensing TechniquesGraphiteNanotubes, Carbongraphene oxideGraphiteNanotubes, Carbon

Identifiers

PMID38385442
PMCPMC10962640

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.