Evidence map›Paper›PMID 28657584›Full record

ArticleSensors (Basel, Switzerland)2017

Tuning Selectivity of Fluorescent Carbon Nanotube-Based Neurotransmitter Sensors.

Florian A Mann, Niklas Herrmann, Daniel Meyer, Sebastian Kruss

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Multimodal Imaging Reveals Rapid Catecholamine Uptake and Release by Neutrophils.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. High-throughput SWCNT NIR-II screening enables cell andbioRxiv : the preprint server for biology · 2026
    Article
  11. Article
  12. Review
  13. Near-Infrared Fluorescent Single-Walled Carbon Nanotubes for Biosensing.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Review
  14. Genetically encoded sensors illuminateIBRO neuroscience reports · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  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.

Florian A MannInstitute of Physical Chemistry, Göttingen University, 37077 Göttingen, Germany. florian.mann@med.uni-goettingen.de.
Niklas HerrmannInstitute of Physical Chemistry, Göttingen University, 37077 Göttingen, Germany. niklas.herrmann1@stud.uni-goettingen.de.
Daniel MeyerInstitute of Physical Chemistry, Göttingen University, 37077 Göttingen, Germany. daniel.meyer@uni-goettingen.de.
Sebastian KrussInstitute of Physical Chemistry, Göttingen University, 37077 Göttingen, Germany. skruss@uni-goettingen.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection of neurotransmitters is an analytical challenge and essential to understand neuronal networks in the brain and associated diseases. However, most methods do not provide sufficient spatial, temporal, or chemical resolution. Near-infrared (NIR) fluorescent single-walled carbon nanotubes (SWCNTs) have been used as building blocks for sensors/probes that detect catecholamine neurotransmitters, including dopamine. This approach provides a high spatial and temporal resolution, but it is not understood if these sensors are able to distinguish dopamine from similar catecholamine neurotransmitters, such as epinephrine or norepinephrine. In this work, the organic phase (DNA sequence) around SWCNTs was varied to create sensors with different selectivity and sensitivity for catecholamine neurotransmitters. Most DNA-functionalized SWCNTs responded to catecholamine neurotransmitters, but both dissociation constants (

Indexed as

affinitybiosensorcarbon nanotubeDNAfluorescenceneurotransmitter

Identifiers

PMID28657584
PMCPMC5539566

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.