Evidence map›Paper›PMID 41658115›Full record

ArticleACS omega2026

Integration of Graphene and ZnO Nanowires for a Self-Powered Piezoelectric MEMS Microphone.

Hao Zhang, Dexiang Zhang, Graham S Wood, Rasool Akhtar Alias Osama, Yun Jiang, Michael J Newton, Hannah Levene, Peter Lomax, Rebecca Cheung

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS omega, 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

9 authors.

Hao ZhangInstitute for Integrated Micro and Nano Systems, School of Engineering, Scottish Microelectronics Centre, University of Edinburgh, Edinburgh EH9 3FF, U.K.ORCID https://orcid.org/0009-0009-7860-5716
Dexiang ZhangInstitute for Integrated Micro and Nano Systems, School of Engineering, Scottish Microelectronics Centre, University of Edinburgh, Edinburgh EH9 3FF, U.K.
Graham S WoodInstitute for Integrated Micro and Nano Systems, School of Engineering, Scottish Microelectronics Centre, University of Edinburgh, Edinburgh EH9 3FF, U.K.ORCID https://orcid.org/0000-0003-4973-813X
Rasool Akhtar Alias OsamaInstitute for Integrated Micro and Nano Systems, School of Engineering, Scottish Microelectronics Centre, University of Edinburgh, Edinburgh EH9 3FF, U.K.
Yun JiangInstitute for Integrated Micro and Nano Systems, School of Engineering, Scottish Microelectronics Centre, University of Edinburgh, Edinburgh EH9 3FF, U.K.ORCID https://orcid.org/0000-0001-8041-2854
Michael J NewtonInstitute for Acoustics and Audio Group, School of Music, University of Edinburgh, Alison House, Edinburgh EH8 9DF, U.K.
Hannah LeveneInstitute for Integrated Micro and Nano Systems, School of Engineering, Scottish Microelectronics Centre, University of Edinburgh, Edinburgh EH9 3FF, U.K.
Peter LomaxInstitute for Integrated Micro and Nano Systems, School of Engineering, Scottish Microelectronics Centre, University of Edinburgh, Edinburgh EH9 3FF, U.K.
Rebecca CheungInstitute for Integrated Micro and Nano Systems, School of Engineering, Scottish Microelectronics Centre, University of Edinburgh, Edinburgh EH9 3FF, U.K.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper describes a novel self-powered piezoelectric MEMS microphone utilizing vertically aligned ZnO nanowires coupled with a suspended graphene/PMMA diaphragm. Direct contact between the graphene/PMMA membrane and ZnO nanowires efficiently converts acoustic vibrations into piezoelectric charges, generating measurable output voltages without requiring external bias or complex capacitive structures. The ZnO nanowires (4.5 μm in length), synthesized via a hydrothermal growth method, serve as structural supports and active piezoelectric transducers. Experimental characterization reveals stable linearity across a sound pressure range of 0.02 Pa (60 dB

Identifiers

PMID41658115
PMCPMC12878743

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.