Evidence map›Paper›PMID 42781987›Full record

ArticleChemistryOpen2026

Tuning the Properties of 3D-Printed Electrochemical Devices by Using Different Fused Deposition Modeling Printers and Setups.

Gennaro Persico, Panagiota M Kalligosfyri, Elena Lagreca, Vincenzo Ianniello, Concetta Di Natale, Michela Volgare, Antonio Cutolo, Filippo Defina, Waleed Alahmad, Abdulaziz K Assaifan and 2 more

Abstract read
In one paragraph

Article in ChemistryOpen, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

12 authors.

Gennaro PersicoDepartment of Pharmacy, University of Naples Federico II, Naples, Italy.ORCID https://orcid.org/0009-0000-9561-2648
Panagiota M KalligosfyriDepartment of Pharmacy, University of Naples Federico II, Naples, Italy.ORCID https://orcid.org/0000-0002-8287-059X
Elena LagrecaDipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale, University of Naples Federico II, Naples, Italy.ORCID https://orcid.org/0000-0003-0500-8610
Vincenzo IannielloDipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale, University of Naples Federico II, Naples, Italy.ORCID https://orcid.org/0000-0002-3412-9246
Concetta Di NataleDipartimento di Ingegneria Chimica, dei Materiali e della Produzione Industriale, University of Naples Federico II, Naples, Italy.
Michela Volgare3DnA s.r.l., Naples, Italy.
Antonio Cutolo3DnA s.r.l., Naples, Italy.ORCID https://orcid.org/0000-0003-0776-6618
Filippo Defina3DnA s.r.l., Naples, Italy.
Waleed AlahmadDepartment of Chemistry, Faculty of Science, Chulalongkorn University, Bangkok, Thailand.ORCID https://orcid.org/0000-0003-1379-8755
Abdulaziz K AssaifanBiomedical Technology Department, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.ORCID https://orcid.org/0000-0002-2836-9243
Mariarosaria BucciDepartment of Pharmacy, University of Naples Federico II, Naples, Italy.
Stefano CintiDepartment of Pharmacy, University of Naples Federico II, Naples, Italy.ORCID https://orcid.org/0000-0002-8274-7452

Funding

AIRC - MFAG 2022 project 27586King Saud University ORF-2026-1314Regione Campania FSE+ 2021/2027Royal Society of Chemistry L25-8786879940
6 · The paper itself

Abstract

Although fused deposition modeling (FDM) 3D printing has emerged as an accessible and versatile approach for the fabrication of electrochemical sensors, the type of printer and manufacturing setup might affect the quality of the ultimate device. In this work, the electrochemical performance of conductive polylactic acid (PLA)-based printed sensors have been tuned by interrogating different cost classes and hardware configurations. Electrochemical behavior was investigated using cyclic voltammetry with both inner- and outer-sphere redox probes, namely potassium ferricyanide (III) and hexaammineruthenium (III) chloride, to evaluate surface accessibility and electron-transfer properties. Scanning electron microscopy and tensile tests were additionally performed to characterize electrode morphology and mechanical stability. Among the evaluated 3D printers, high-performance systems characterized by higher automation, improved motion control, and greater extrusion stability demonstrated satisfactory outcomes. In contrast, entry-level open-platform systems showed lower surface utilization and reduced electrochemical performance. The results demonstrate that all printing platforms were capable of producing sensors with electrochemical functionality, comparable mechanical properties, and well-defined architectures. However, despite negligible differences among PLA filaments, it is clear that printing time, automation, and hardware flexibility represent central factors in selecting the most suitable platform for next scaling of electrode manufacturing.

Indexed as

3D‐printed device3D‐printingadditive manufacturingcharacterizationelectrochemical sensors

Identifiers

PMID42781987
PMCPMC13602825

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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.