Evidence map›Paper›PMID 38894299›Full record

ArticleSensors (Basel, Switzerland)2024

A Method for Sensing Dielectric Properties of Thin and Flexible Conductive Biocomposites.

Andrea Cataldo, Christian Demitri, Leonardo Lamanna, Antonio Masciullo, Raissa Schiavoni

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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

5 authors.

Andrea CataldoDepartment of Engineering for Innovation, University of Salento, 73100 Lecce, Italy.ORCID 0000-0001-9031-7690
Christian DemitriDepartment of Engineering for Innovation, University of Salento, 73100 Lecce, Italy.ORCID 0000-0002-1145-6674
Leonardo LamannaDepartment of Engineering for Innovation, University of Salento, 73100 Lecce, Italy.ORCID 0000-0001-7057-9140
Antonio MasciulloDepartment of Engineering for Innovation, University of Salento, 73100 Lecce, Italy.ORCID 0000-0001-8715-2303
Raissa SchiavoniDepartment of Engineering for Innovation, University of Salento, 73100 Lecce, Italy.ORCID 0000-0002-8462-5563

Funding

INtegrated Technologies and ENhanced SEnsing for cognition and rehabilitation (INTENSE)'' project (F/310148/01-05/X56)--- Italian Ministry of Enterprises and Made in Italy - Accordo Innovazione DM 31/12/2021 B89J23002490005
6 · The paper itself

Abstract

This study investigates the dielectric properties of conductive biocomposites (CBs), which are integral to the development of advanced materials for flexible electronics and medical devices. A novel method employing Microwave Reflectometry (MR) is introduced, utilizing a miniaturized Vector Network Analyzer (m-VNA) and a dedicated sensing element (SE), to extract the dielectric properties of CBs. The method is grounded in a minimization principle, aligning the measured S11 reflection scattering parameter with its electromagnetic (EM) simulation, facilitating a refined process for determining the dielectric properties. The experimental setup was meticulously engineered, optimized, and validated using reference dielectric samples (RDSs) with known dielectric properties. The method was then applied to three innovative CBs, resulting in an accurate extrapolation of their dielectric properties. The findings highlight the method's versatility, cost-efficiency, and applicability to ultra-thin and flexible biopolymer films, offering significant potential for advancements in flexible electronics and bio-sensing applications.

Indexed as

conductive biocompositesdielectric permittivitydielectric propertieselectromagnetic simulationsmicrowave reflectometryopen ended coaxial probe

Identifiers

PMID38894299
PMCPMC11175012

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.