Evidence map›Paper›PMID 28811657›Full record

ArticleScientific reports2017

Colorimetric Fingerprints of Gold Nanorods for Discriminating Catecholamine Neurotransmitters in Urine Samples.

Somayeh Jafarinejad, Mahmoud Ghazi-Khansari, Forough Ghasemi, Pezhman Sasanpour, M Reza Hormozi-Nezhad

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 70 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Colorimetric Detection Based on Localized Surface Plasmon Resonance for Determination of Chemicals in Urine.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2021
    Article
  8. Article
  9. Review
  10. Article
  11. Review
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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

5 authors at 3 institutions in 1 country.

Somayeh JafarinejadDepartment of Medical Physics and Biomedical Engineering, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mahmoud Ghazi-KhansariDepartment of Pharmacology, School of Medicine, Tehran University of Medical Sciences, P.O. Box, 13145-784, Tehran, Iran.ORCID 0000-0001-9844-7529
Forough GhasemiDepartment of Chemistry, Sharif University of Technology, Tehran, 11155-9516, Iran.
Pezhman SasanpourDepartment of Medical Physics and Biomedical Engineering, Faculty of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran. pesasanpour@sbmu.ac.ir.
M Reza Hormozi-NezhadDepartment of Chemistry, Sharif University of Technology, Tehran, 11155-9516, Iran. hormozi@sharif.edu.
Shahid Beheshti University of Medical Sciences · IRSharif University of Technology · IRTehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Catecholamine neurotransmitters, generally including dopamine (DA), epinephrine (EP) and norepinephrine (NE) are known as substantial indicators of various neurological diseases. Simultaneous detection of these compounds and their metabolites is highly recommended in early clinical diagnosis. To this aim, in the present contribution, a high performance colorimetric sensor array has been proposed for the detection and discrimination of catecholamines based on their reducing ability to deposit silver on the surface of gold nanorods (AuNRs). The amassed silver nanoshell led to a blue shift in the longitudinal localized surface plasmon resonance (LSPR) peak of AuNRs, creating a unique pattern for each of the neurotransmitters. Hierarchical cluster analysis (HCA) and linear discriminate analysis (LDA) pattern recognition techniques were employed to identify DA, EP and NE. The proposed colorimetric array is able to differentiate among individual neurotransmitters as well as their mixtures, successfully. Finally, it was shown that the sensor array can identify these neurotransmitters in human urine samples.

Indexed as

ColorimetryGoldNanotubesBiosensing TechniquesCatecholaminesHumansNanomedicineNeurotransmitter AgentsSensitivity and SpecificityCatecholaminesGoldNeurotransmitter Agents

Identifiers

PMID28811657
PMCPMC5557886
OpenAlexW2743690335

What OpenQuestion holds

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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.