Evidence map›Paper›PMID 35488956›Full record

ArticleApplied biochemistry and biotechnology2022

Green Fabrication of Nonenzymatic Glucose Sensor Using Multi-Walled Carbon Nanotubes Decorated with Copper (II) Oxide Nanoparticles for Tear Fluid Analysis.

Zahra Asgari Kheirabadi, Mohsen Rabbani, Marzieh Samiei Foroushani

Abstract read
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Article in Applied biochemistry and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
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

3 authors.

Zahra Asgari KheirabadiDepartment of Biomedical Engineering, University of Isfahan, Isfahan, 81746-73441, Iran.
Mohsen RabbaniDepartment of Biomedical Engineering, University of Isfahan, Isfahan, 81746-73441, Iran. m.rabbani@eng.ui.ac.ir.ORCID http://orcid.org/0000-0002-9187-076X
Marzieh Samiei ForoushaniRoshan Rai Sepahan Ltd, Isfahan Science and Technology Town, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this report, a green, simple, inexpensive, and effective nonenzymatic electrochemical glucose sensor was fabricated using multi-walled carbon nanotubes (MWCNT) decorated with copper (II) oxide nanoparticles (CuO NPs). Basil seed mucilage (BSM) was served as reducing, capping, and stabilizing agents in the synthesis of CuO NPs.The prepared MWCNT/CuO nanocomposite was characterized using Fourier transform infrared spectroscopy (FTIR), field emission scanning electron microscopy (FESEM), energy-dispersive X-ray spectroscopy (EDX), X-ray diffraction (XRD), and electrochemical methods. The FTIR results indicated that the nanocomposite surface was covered by BSM. The FESEM results show that the CuO NPs with an average particle size lower than 10 nm have been well distributed on the walls of the MWCNT. The electrochemical behavior of the nanocomposite was explored by studying the electrocatalytic behavior of the screen-printed carbon electrode (SPCE) modified by the nanocomposite (SPCE-MWCNT/CuO) toward the glucose oxidation. In the optimum conditions, the electrode indicated a wide linear response from 5.0 to 620.0 μM with regression coefficients of 0.992, the sensitivity of 1050 μA mM

Indexed as

NanoparticlesNanotubes, CarbonCopperElectrochemical TechniquesElectrodesGlucoseOxidesReproducibility of ResultsCopperGlucoseNanotubes, CarbonOxidesCopper (II) oxideGlucoseGreen fabricationMulti-walled carbon nanotubesNonenzymatic sensorTear

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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.