Evidence map›Paper›PMID 41157402›Full record

ArticleSensors (Basel, Switzerland)2025

Three-Dimensionally Printed Temperature Sensors Based on Conductive PLA Materials.

Agnese Staffa, Gašper Krivic, Mariachiara Tocci, Massimiliano Palmieri, Filippo Cianetti, Janko Slavič

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. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Modifying Polylactide with Powdered Cork Filler.Materials (Basel, Switzerland) · 2025
    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

6 authors.

Agnese StaffaDepartment of Engineering, University of Perugia, Via Goffredo Duranti 93, 06125 Perugia, Italy.ORCID 0009-0002-0528-4455
Gašper KrivicFaculty of Mechanical Engineering, University of Ljubljana, Aškerčeva 6, 1000 Ljubljana, Slovenia.ORCID 0009-0008-1548-231X
Mariachiara TocciDepartment of Engineering, University of Perugia, Via Goffredo Duranti 93, 06125 Perugia, Italy.
Massimiliano PalmieriDepartment of Engineering, University of Perugia, Via Goffredo Duranti 93, 06125 Perugia, Italy.ORCID 0000-0001-8891-6432
Filippo CianettiDepartment of Engineering, University of Perugia, Via Goffredo Duranti 93, 06125 Perugia, Italy.ORCID 0000-0002-1163-782X
Janko SlavičFaculty of Mechanical Engineering, University of Ljubljana, Aškerčeva 6, 1000 Ljubljana, Slovenia.ORCID 0000-0002-5982-8377

Funding

European Union - NextGenerationEU CS00000041 383 - VITALITY.
6 · The paper itself

Abstract

Recent innovations in thermoplastic extrusion 3D printing have promoted the development of functional materials, such as conductive composites, which lead the way to the creation of sensors embedded directly into printed structures. To this aim, this paper presents a feasibility study on the use of a commercial conductive PLA filament for the realization of a 3D-printed temperature sensor integrated into a thermoplastic structure. To this end, a series of experiments were conducted on 3D-printed samples to analyse the correlation between electrical resistance and temperatures. The results obtained show a clear and reproducible relationship between the two quantities, from which a useful function was derived to estimate the temperature from the resistance measurement. This study confirms the potential of conductive PLA as a low-cost and customisable solution for thermal monitoring and represents a step forward towards the integration of functional sensors through additive manufacturing.

Indexed as

3D-printed sensorsconductive PLAtemperature effectthermal characterization

Identifiers

PMID41157402
PMCPMC12568265

What OpenQuestion holds

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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.