Evidence mapPaperPMID 38947806Full record

ArticleACS omega2024

Functionalization of Carbon Nanofibers with an Aromatic Diamine: Toward a Simple Electrochemical-Based Sensing Platform for the Selective Sensing of Glucose.

Angelo Ferlazzo, Consuelo Celesti, Daniela Iannazzo, Claudio Ampelli, Daniele Giusi, Veronica Costantino, Giovanni Neri

Abstract read
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Multifunctional Conductive Nanofibers for Self-Powered Glucose Biosensors.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  7. Article
  8. 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

7 authors.

Angelo FerlazzoDepartment of Chemical Sciences, University of Catania, Viale Andrea Doria, 6, I-95125 Catania, Italy.
Consuelo CelestiDepartment of Engineering, University of Messina, Contrada Di Dio, I-98166 Messina, Italy.
Daniela IannazzoDepartment of Engineering, University of Messina, Contrada Di Dio, I-98166 Messina, Italy.
Claudio AmpelliDepartment of Chemical, Biological, Pharmaceutical and Environmental Sciences (ChiBioFarAm), University of Messina and INSTM, Via F. Stagno d'Alcontres 31, I-98166 Messina, Italy.
Daniele GiusiDepartment of Chemical, Biological, Pharmaceutical and Environmental Sciences (ChiBioFarAm), University of Messina and INSTM, Via F. Stagno d'Alcontres 31, I-98166 Messina, Italy.ORCID https://orcid.org/0000-0002-4574-8173
Veronica CostantinoDepartment of Chemical, Biological, Pharmaceutical and Environmental Sciences (ChiBioFarAm), University of Messina and INSTM, Via F. Stagno d'Alcontres 31, I-98166 Messina, Italy.ORCID https://orcid.org/0009-0004-6337-0479
Giovanni NeriDepartment of Engineering, University of Messina, Contrada Di Dio, I-98166 Messina, Italy.ORCID https://orcid.org/0000-0001-8999-060X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite a variety of glucose sensors being available today, the development of nonenzymatic devices for the determination of this biologically relevant analyte is still of particular interest in several applicative sectors. Here, we report the development of an impedimetric, enzyme-free electrochemical glucose sensor based on carbon nanofibers (CNFs) functionalized with an aromatic diamine via a simple wet chemistry functionalization. The electrochemical performance of the chemically modified carbon-based screen-printed electrodes (SPCEs) was evaluated by electrical impedance spectroscopy (EIS), demonstrating a high selectivity of the sensor for glucose with respect to other sugars, such as fructose and sucrose. The sensing parameters to obtain a reliable calibration curve and the selective glucose sensing mechanism are discussed here, highlighting the performance of this novel electrochemical sensor for the selective sensing of this important analyte. Two linear trends were noted, one at low concentrations (0-1200 μM) and the other from 1200 to 5000 μM. The limit of detection (LOD), calculated as the (standard error/slope)*3.3, was 18.64 μM. The results of this study highlight the performance of the developed novel electrochemical sensor for the selective sensing of glucose.

Identifiers

PMID38947806
PMCPMC11209887

What Socratic holds

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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 Socratic graph.