Evidence map›Paper›PMID 39728544›Full record

ArticleNanomaterials (Basel, Switzerland)2024

Laser-Induced Graphene Electrodes for Flexible pH Sensors.

Giulia Massaglia, Giacomo Spisni, Tommaso Serra, Marzia Quaglio

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

4 authors.

Giulia MassagliaDepartment of Applied Science and Technology, Politecnico di Torino, Corso Duca Degli Abruzzi 24, 10129 Turin, Italy.ORCID 0000-0003-2363-0307
Giacomo SpisniDepartment of Applied Science and Technology, Politecnico di Torino, Corso Duca Degli Abruzzi 24, 10129 Turin, Italy.ORCID 0000-0002-1411-9243
Tommaso SerraDepartment of Applied Science and Technology, Politecnico di Torino, Corso Duca Degli Abruzzi 24, 10129 Turin, Italy.ORCID 0009-0007-5044-7096
Marzia QuaglioDepartment of Applied Science and Technology, Politecnico di Torino, Corso Duca Degli Abruzzi 24, 10129 Turin, Italy.

Funding

This work received partial financial support from the National Recovery and Resilience Plan (NRRP) of Italian Ministry of University and Research (Project code: IR0000027, CUP: B33C22000710006, Project title: iENTRANCE). CUP: B33C22000710006This work was carried out within the MICS (Made in Italy-Circular and Sustainable) Extended Partnership and received partial funding from the European Union Next-Generation EU (PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR) -MISSIONE 4 COMPONENTE 2, INVES PE00000004Tommaso Serra's Ph.D. grant was funded by National Operational Program (PON) Research and Innovation 2014-2020 (CCI 2014IT16M2OP005), resources FSE REACT-EU, Action IV.5 "Dottorati su tematiche Green". CCI 2014IT16M2OP005
6 · The paper itself

Abstract

In the growing field of personalized medicine, non-invasive wearable devices and sensors are valuable diagnostic tools for the real-time monitoring of physiological and biokinetic signals. Among all the possible multiple (bio)-entities, pH is important in defining health-related biological information, since its variations or alterations can be considered the cause or the effect of disease and disfunction within a biological system. In this work, an innovative (bio)-electrochemical flexible pH sensor was proposed by realizing three electrodes (working, reference, and counter) directly on a polyimide (Kapton) sheet through the implementation of CO

Indexed as

bio-electrochemical sensorsflexible sensorslaser-induced graphene materialnanostructured active materialpH sensitivityultrasonic spray coating

Identifiers

PMID39728544
PMCPMC11728752

What OpenQuestion 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 OpenQuestion graph.