Evidence map›Paper›PMID 40432019›Full record

ArticleSensors (Basel, Switzerland)2025

Industrial-Grade Graphene Films as Distributed Temperature Sensors.

Francesco Siconolfi, Gabriele Cavaliere, Sarah Sibilia, Francesco Cristiano, Gaspare Giovinco, Antonio Maffucci

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Francesco SiconolfiDepartment of Electrical and Information Engineering, University of Cassino and Southern Lazio, 03043 Cassino, Italy.ORCID 0009-0008-5686-2693
Gabriele CavaliereDepartment of Electrical and Information Engineering, University of Cassino and Southern Lazio, 03043 Cassino, Italy.ORCID 0009-0007-7407-1011
Sarah SibiliaDepartment of Electrical and Information Engineering, University of Cassino and Southern Lazio, 03043 Cassino, Italy.ORCID 0000-0001-7082-7570
Francesco CristianoNanesa srl, 00144 Roma, Italy.ORCID 0000-0002-6943-8698
Gaspare GiovincoEUT+ Institute of Nanomaterials and Nanotechnologies-EUTINN, European University of Technology, European Union, 03043 Cassino, Italy.ORCID 0000-0001-6779-5774
Antonio MaffucciDepartment of Electrical and Information Engineering, University of Cassino and Southern Lazio, 03043 Cassino, Italy.ORCID 0000-0002-4992-9449

Funding

Ministero dell'università e della ricerca H53D23000520006
6 · The paper itself

Abstract

This paper investigates the feasibility of a multi-purpose use of thin films of industrial-grade graphene, adopted initially to realize advanced coatings for thermal management or electromagnetic shielding. Indeed, it is demonstrated that such coatings can be conveniently used as distributed temperature sensors based on the sensitivity of their electrical resistance to temperature. The study is carried out by characterizing three nanomaterials differing in the percentage of graphene nanoplatelets in the temperature range from -40 °C to +60 °C. The paper demonstrates the presence of a reproducible and linear negative temperature coefficient behavior, with a temperature coefficient of the resistance of the order of -1.5·10-3°C-1. A linear sensor model is then developed and validated through an uncertainty-based approach, yielding a temperature prediction uncertainty of approximately ±2 °C. Finally, the robustness of the sensor concerning moderate environmental variations is verified, as the errors introduced by relative humidity values in the range from 40% to 60% are included in the model's uncertainty bounds. These results suggest the realistic possibility of adding temperature-sensing capabilities to these graphene coatings with minimal increase in complexity and cost.

Indexed as

graphene nano-plateletshumidity sensorsnanomaterialstemperature sensors

Identifiers

PMID40432019
PMCPMC12115416

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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.