Evidence map›Paper›PMID 31506456›Full record

ArticleScientific reports2019

A core-shell molybdenum nanoparticles entrapped f-MWCNTs hybrid nanostructured material based non-enzymatic biosensor for electrochemical detection of dopamine neurotransmitter in biological samples.

Murugan Keerthi, Gopal Boopathy, Shen-Ming Chen, Tse-Wei Chen, Bih-Show Lou

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

15 citing papers in PubMed, 91 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Regulatory mechanisms of dopamine metabolism in a marineSynthetic and systems biotechnology · 2024
    Article
  6. Article
  7. Trends on Aerogel-Based Biosensors for Medical Applications: An Overview.International journal of molecular sciences · 2024
    Review
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  9. 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

5 authors at 2 institutions in 1 country.

Murugan KeerthiDepartment of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei, 106, Taiwan.
Gopal BoopathyDepartment of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei, 106, Taiwan.
Shen-Ming ChenDepartment of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei, 106, Taiwan. smchen78@ms15.hinet.net.
Tse-Wei ChenDepartment of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei, 106, Taiwan.
Bih-Show LouChemistry Division, Center for General Education, Chang Gung University, Taoyuan, 333, Taiwan. blou@mail.cgu.edu.tw.
National Taipei University of Technology · TWChang Gung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dopamine (DA) is a critical neurotransmitter and has been known to be liable for several neurological diseases. Hence, its sensitive and selective detection is essential for the early diagnosis of diseases related to abnormal levels of DA. In this study, we reported novel molybdenum nanoparticles self-supported functionalized multiwalled carbon nanotubes (Mo NPs@f-MWCNTs) based core-shell hybrid nanomaterial with an average diameter of 40-45 nm was found to be the best for electrochemical DA detection. The Mo NPs@f-MWCNTs hybrid material possesses tremendous superiority in the DA sensing is mainly due to the large surface area and numerous electroactive sites. The morphological and structural characteristics of the as-synthesized hybrid nanomaterial were examined by XRD, Raman, FE-SEM, HR-TEM, EDX. The electrochemical characteristics and catalytic behavior of the as-prepared Mo NPs@f-MWCNTs modified screen-printed carbon electrode for the determination of DA were systematically investigated via electrochemical impedance spectroscopy, cyclic voltammetry, and amperometry. The results demonstrate that the developed DA biosensor exhibit a low detection limit of 1.26 nM, excellent linear response of 0.01 µM to 1609 µM with good sensitivity of 4.925 µA µM

Indexed as

Biosensing TechniquesCatalysisChemistry Techniques, SyntheticElectrochemical TechniquesMetal NanoparticlesMolybdenumNanostructuresNanotubes, CarbonReproducibility of ResultsX-Ray DiffractionMolybdenumNanotubes, Carbon

Identifiers

PMID31506456
PMCPMC6736870
OpenAlexW2972513257

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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.