A Hybrid Chitosan-BaTiO

Zhao Wang, Bhavani Prasad Yalagala, Jungang Zhang, Zixuan He, Hadi Heidari, Andrew Feeney

Abstract read

In one paragraph

Article in ACS applied engineering materials, 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

6 authors.

Zhao WangCentre for Medical and Industrial Ultrasonics, James Watt School of Engineering, University of Glasgow, University Avenue, Glasgow G12 8QQ, U.K.ORCID https://orcid.org/0000-0001-7423-2603

Bhavani Prasad YalagalaMicroelectronics Laboratory, James Watt School of Engineering, University of Glasgow, University Avenue, Glasgow G12 8QQ, U.K.ORCID https://orcid.org/0009-0008-6471-3735

Jungang ZhangMicroelectronics Laboratory, James Watt School of Engineering, University of Glasgow, University Avenue, Glasgow G12 8QQ, U.K.ORCID https://orcid.org/0009-0007-2361-977X

Zixuan HeMaterials and Manufacturing Research Cluster, James Watt School of Engineering, University of Glasgow, University Avenue, Glasgow G12 8QQ, U.K.

Hadi HeidariCentre for Medical and Industrial Ultrasonics, James Watt School of Engineering, University of Glasgow, University Avenue, Glasgow G12 8QQ, U.K.ORCID https://orcid.org/0000-0001-8412-8164

Andrew FeeneyCentre for Medical and Industrial Ultrasonics, James Watt School of Engineering, University of Glasgow, University Avenue, Glasgow G12 8QQ, U.K.ORCID https://orcid.org/0000-0001-7170-1830

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable pressure sensors are key to many applications, such as those for Internet of Things (IoT), implantables in healthcare, soft robotics, insoles, and prosthetics, where the demands for flexible, self-powered, and highly sensitive pressure sensors are significantly growing. These requirements necessitate the development of flexible and high-performance piezoelectric materials, where current embodiments can be limited, requiring compromises between properties such as sensitivity, output voltage, biocompatibility, and response time. Here, a biopolymer composite-based piezoelectric material using chitosan-BaTiO

Indexed as

biopolymerchitosan–BaTiO3organic−inorganicpiezoelectricpressure sensorprostheticsself-poweredwearable.

Identifiers

PMID42524452

DOI10.1021/acsaenm.6c00330

PMCPMC13411042

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.