Evidence map›Paper›PMID 40666724›Full record

ArticleACS materials Au2025

Nickel-Loaded 3D-Printed Electrode for In Situ Electrochemical Conversion to a Prussian Blue Analogue: Synthetic Parameter Optimization for Pseudocapacitor Applications.

Pedro H S Borges, Natália M Caldas, Lucas V de Faria, Rafael M Dornellas, Edson Nossol

Abstract read
In one paragraph

Article in ACS materials Au, 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. Review
  2. Article
  3. 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

5 authors.

Pedro H S BorgesInstitute of Chemistry, Universidade Federal de Uberlândia, Uberlândia 38408-902, Brazil.
Natália M CaldasDepartment of Analytical Chemistry, Institute of Chemistry, Universidade Federal Fluminense, Niterói 24020-141, Brazil.
Lucas V de FariaDepartment of Analytical Chemistry, Institute of Chemistry, Universidade Federal Fluminense, Niterói 24020-141, Brazil.ORCID https://orcid.org/0000-0002-3175-3975
Rafael M DornellasDepartment of Analytical Chemistry, Institute of Chemistry, Universidade Federal Fluminense, Niterói 24020-141, Brazil.
Edson NossolInstitute of Chemistry, Universidade Federal de Uberlândia, Uberlândia 38408-902, Brazil.ORCID https://orcid.org/0000-0002-5032-1609

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing cost-effective and scalable energy storage devices is critical for advancing sustainable technologies. This study presents the fabrication of a novel 3D-printed PLA/Gr/NiHCF electrode, leveraging the benefits of additive manufacturing and a systematic factorial design of experiments (DOE) approach. The motivation stems from the need for simplified production methods that deliver high-performance materials while reducing waste and energy consumption. The electrode was synthesized through a two-step process involving 3D printing of a PLA/graphite/nickel acetate (PLA/Gr/Ni) composite followed by electrochemical conversion of nickel hexacyanoferrate (NiHCF) particles. The factorial DOE methodology optimized the composition of the PLA/Gr matrix and the electrochemical deposition conditions, ensuring a robust process with reproducible outcomes. The structural and electrochemical properties of the materials were evaluated using FTIR, Raman, SEM, EDS, CV, and EIS. The PLA/Gr/NiHCF electrode exhibited outstanding electrochemical performance, with a specific capacitance (C

Indexed as

3D printingenergy storagenickel hexacyanoferratePrussian blue analoguepseudocapacitor

Identifiers

PMID40666724
PMCPMC12257416

What OpenQuestion holds

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LicenceCC BY
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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.