Evidence map›Paper›PMID 41737361›Full record

ArticleEnergy & fuels : an American Chemical Society journal2026

Moon Regolith Simulant-Based All-3D-Printed Triboelectric Nanogenerator for Effective Mechanical Energy Conversion.

Alex Yohannan, Keval K Sonigara, Jayraj V Vaghasiya, Martin Pumera

Abstract read
In one paragraph

Article in Energy & fuels : an American Chemical Society journal, 2026. 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

4 authors.

Alex YohannanFuture Energy and Innovation Laboratory, Central European Institute of Technology, Brno University of Technology, Purkyňova 123, Brno 61200, Czech Republic.
Keval K SonigaraFuture Energy and Innovation Laboratory, Central European Institute of Technology, Brno University of Technology, Purkyňova 123, Brno 61200, Czech Republic.ORCID https://orcid.org/0000-0002-3385-0226
Jayraj V VaghasiyaSchool of Biomedical Engineering, Faculty of Engineering, The University of Sydney, Sydney, NSW 2008, Australia.ORCID https://orcid.org/0000-0003-0950-3299
Martin PumeraFuture Energy and Innovation Laboratory, Central European Institute of Technology, Brno University of Technology, Purkyňova 123, Brno 61200, Czech Republic.ORCID https://orcid.org/0000-0001-5846-2951

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sustained human activity on the Moon will require energy systems that can be manufactured directly from lunar materials, avoiding the mass and cost constraints of transporting devices from the Earth. Here, we demonstrate a triboelectric nanogenerator (TENG) fabricated using a lunar regolith (LR) simulant as an active triboelectric component through a scalable 3D-printing strategy. LR incorporation significantly enhances charge generation in LR/PLA (poly-(lactic acid)) composite electrodes by modifying surface properties and increasing effective contact electrification. Multiple electrode architectures were evaluated to optimize performance, with the best design delivering an open-circuit voltage of ∼17.4 (±0.4) V and a short-circuit current of ∼0.96 (±0.2) μA at 10 Hz for a 20 × 30 mm device. The prototype is capable of real-scale power demonstrations, validating its practical utility. This work introduces a viable route for in situ resource utilization and 3D printing to establish LR-based triboelectric devices as a promising approach for energy autonomy in future lunar habitats.

Identifiers

PMID41737361
PMCPMC12926947

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.