Evidence map›Paper›PMID 39590002›Full record

ArticleBiosensors2024

An Enzyme-Free Impedimetric Sensor Based on Flower-like NiO/Carbon Microspheres for L-Glutamic Acid Assay.

Najva Sadri, Mohammad Mazloum-Ardakani, Farzaneh Asadpour, Yvonne Joseph, Parvaneh Rahimi

Abstract read
In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Najva SadriDepartment of Chemistry, Faculty of Science, Yazd University, Yazd 89195-741, Iran.ORCID 0009-0002-9358-9960
Mohammad Mazloum-ArdakaniDepartment of Chemistry, Faculty of Science, Yazd University, Yazd 89195-741, Iran.
Farzaneh AsadpourDepartment of Chemistry, University of Cincinnati, 312 College Drive 404 Crosley Tower, Cincinnati, OH 45221-0172, USA.
Yvonne JosephInstitute of Nanoscale and Biobased Materials, Faculty of Materials Science and Technology, Technische Universität Bergakademie Freiberg, 09599 Freiberg, Germany.ORCID 0000-0003-0697-9646
Parvaneh RahimiInstitute of Nanoscale and Biobased Materials, Faculty of Materials Science and Technology, Technische Universität Bergakademie Freiberg, 09599 Freiberg, Germany.ORCID 0000-0002-8858-5407

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This research introduces a non-enzymatic electrochemical sensor utilizing flower-like nickel oxide/carbon (fl-NiO/C) microspheres for the precise detection of L-glutamic acid (LGA), a crucial neurotransmitter in the field of healthcare and a frequently utilized food additive and flavor enhancer. The fl-NiO/C were synthesized with controllable microstructures using metal-organic frameworks (MOFs) as precursors followed by a simple calcination process. The uniformly synthesized fl-NiO/C microspheres were further characterized using Fourier transform infrared spectroscopy (FTIR), X-ray powder diffraction (XRD), energy-dispersive X-ray spectroscopy (EDX), and field emission scanning electron microscopy (FE-SEM). The fl-NiO/C was utilized as a modifier on the surface of a glassy carbon electrode, and an impedimetric sensor based on electrochemical impedance spectroscopy (EIS) was developed for the detection of LGA. The proposed sensor demonstrated excellent catalytic activity and selectivity towards LGA across a broad concentration range of 10-800 μM with a sensitivity of 486.9 µA.mM

Indexed as

CarbonGlutamic AcidMicrospheresNickelBiosensing TechniquesDielectric SpectroscopyElectrochemical TechniquesElectrodesLimit of DetectionSpectroscopy, Fourier Transform InfraredCarbonGlutamic AcidNickelnickel monoxideelectrochemicalflower-like microstructureL-Glutamic acidmicrosphereneurotransmitternon-enzymatic

Identifiers

PMID39590002
PMCPMC11591706

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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.