Evidence map›Paper›PMID 39518236›Full record

ArticlePolymers2024

Development of Electrically Conductive Wood-Based Panels for Sensor Applications.

Ozden Beste Kocoglu, Claudia Pretschuh, Christoph Unterweger, Mehmet Kodal, Guralp Ozkoc

Abstract read
In one paragraph

Article in Polymers, 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.

Ozden Beste KocogluPolymer Science and Technology Graduate Programme, Kocaeli University, 41001 Kocaeli, Türkiye.ORCID 0009-0005-9425-8049
Claudia PretschuhWood K Plus-Kompetenzzentrum Holz, 4040 Linz, Austria.
Christoph UnterwegerWood K Plus-Kompetenzzentrum Holz, 4040 Linz, Austria.ORCID 0000-0003-4399-5813
Mehmet KodalPolymer Science and Technology Graduate Programme, Kocaeli University, 41001 Kocaeli, Türkiye.ORCID 0000-0003-0299-5411
Guralp OzkocSUNUM, Nanotechnology Research and Application Center, Sabancı University, 34956 Istanbul, Türkiye.

Funding

Austrian Research Promotion Agency GmbH (FFG) 888361
6 · The paper itself

Abstract

This study investigates the development of electrically conductive panels for application as emergency detection sensors in smart house systems. These panels, composed of wood chips coated with polymeric methylene diphenyl isocyanate, were modified with carbon black and carbon fibers to enable detection of moisture, temperature, and pressure variations. Manufactured via hot pressing, the panels retained standard mechanical properties and exhibited stable performance under diverse environmental conditions. Carbon black-filled panels achieved electrical percolation at a lower filler concentration (5%) compared to carbon fiber-filled panels. The incorporation of carbon black reduced the electrical resistivity to 8.6 ohm·cm, while the addition of carbon fibers further decreased it to 7.7 ohm·cm. In terms of sensor capabilities, panels containing carbon fibers demonstrated superior sensitivity to moisture and pressure changes. However, carbon black was ineffective for temperature sensing. Among the carbon fiber-filled panels, those with 20 wt.% concentration exhibited the best performance for moisture and pressure detection, whereas panels with 40 wt.% carbon fiber content displayed the most reliable and consistent temperature-sensing properties.

Indexed as

carbon fillerselectrically conductive boardsensorwood-based composites

Identifiers

PMID39518236
PMCPMC11548283

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.