Evidence map›Paper›PMID 29594397›Full record

ArticleMikrochimica acta2017

Microwave-assisted synthesis of graphene modified CuO nanoparticles for voltammetric enzyme-free sensing of glucose at biological pH values.

Faranak Foroughi, Mansour Rahsepar, Mohammad Jafar Hadianfard, Hasuck Kim

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Article in Mikrochimica acta, 2017. 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. Article
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  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
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  11. Article
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  14. Article
  15. Three-dimensional porous Cu@CuMikrochimica acta · 2019
    Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Porous NiMikrochimica acta · 2018
    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.

Faranak ForoughiDepartment of Materials Science and Engineering, School of Engineering, Shiraz University, Zand Boulevard, Shiraz, 7134851154, Iran.
Mansour RahseparDepartment of Materials Science and Engineering, School of Engineering, Shiraz University, Zand Boulevard, Shiraz, 7134851154, Iran. rahsepar@shirazu.ac.ir.
Mohammad Jafar HadianfardDepartment of Materials Science and Engineering, School of Engineering, Shiraz University, Zand Boulevard, Shiraz, 7134851154, Iran.
Hasuck KimDepartment of Chemistry, Seoul National University, 599 Gwanak-ro, Gwanak-gu, Seoul, 151-747, Republic of Korea. hasuckim@snu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effect of graphene nanosheets on the glucose sensing performance of CuO powders was investigated. CuO and graphene-modified CuO nanoparticles (NPs) were fabricated by microwave-assisted synthesis and characterized by X-ray diffraction, transmission electron microscopy and X-ray photoelectron spectroscopy. The material was placed on a glassy carbon electrode (GCE) which then was characterized by cyclic voltammetry and chronoamperometry with respect to the capability of sensing glucose both at pH 13 and pH 7.4. The results revealed that the modified GCE has a fast and selective linear response to glucose at pH 13 that covers the 0.21 μM to 12 mM concentration range, with a 0.21 μM low detection limit. The presence of graphene nanosheets results in an improved sensitivity which is to 700 μA mM

Indexed as

MicrowavesChemistry Techniques, SyntheticCopperElectrochemistryGlucoseGraphiteHumansHydrogen-Ion ConcentrationNanoparticlesNanotechnologyCoppercupric oxideGlucoseGraphiteAlkaline pHCarbon nanomaterialChronoamperometryCyclic voltammetryElectrochemical detectionHuman blood serumMetal oxideSelective glucose detection, phosphate bufferX ray photoelectron spectroscopy

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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.