Evidence map›Paper›PMID 38264766›Full record

ArticleBiomedical engineering systems and technologies, international joint conference, BIOSTEC ... revised selected papers. BIOSTEC (Conference)2021

Fish Gelatin-based Films for Gas Sensing.

Inês Pimentel Moreira, Laura Sato, Cláudia Alves, Susana Palma, Ana Cecília Roque

Abstract read
In one paragraph

Article in Biomedical engineering systems and technologies, international joint conference, BIOSTEC ... revised selected papers. BIOSTEC (Conference), 2021. 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.

Inês Pimentel MoreiraUCIBIO, Chemistry Department, School of Science and Technology, NOVA University of Lisbon, 2829-516 Caparica, Portugal.ORCID https://orcid.org/0000-0002-5502-091X
Laura SatoUCIBIO, Chemistry Department, School of Science and Technology, NOVA University of Lisbon, 2829-516 Caparica, Portugal.
Cláudia AlvesUCIBIO, Chemistry Department, School of Science and Technology, NOVA University of Lisbon, 2829-516 Caparica, Portugal.
Susana PalmaUCIBIO, Chemistry Department, School of Science and Technology, NOVA University of Lisbon, 2829-516 Caparica, Portugal.ORCID https://orcid.org/0000-0002-1851-8110
Ana Cecília RoqueUCIBIO, Chemistry Department, School of Science and Technology, NOVA University of Lisbon, 2829-516 Caparica, Portugal.ORCID https://orcid.org/0000-0002-4586-3024

Funding

European Research Council 639123
6 · The paper itself

Abstract

Electronic noses (e-noses) mimic the complex biological olfactory system, usually including an array of gas sensors to act as the olfactory receptors and a trained computer with signal-processing and pattern recognition tools as the brain. In this work, a new stimuli-responsive material is shown, consisting of self-assembled droplets of liquid crystal and ionic liquid stabilised within a fish gelatin matrix. These materials change their opto/electrical properties upon contact with volatile organic compounds (VOCs). By using an in-house developed e-nose, these new gas-sensing films yield characteristic optical signals for VOCs from different chemical classes. A support vector machine classifier was implemented based on 12 features of the signals. The results show that the films are excellent identifying hydrocarbon VOCs (toluene, heptane and hexane) (95% accuracy) but lower performance was found to other VOCs, resulting in an overall 60.4% accuracy. Even though they are not reusable, these sustainable gas-sensing films are stable throughout time and reproducible, opening several opportunities for future optoelectronic devices and artificial olfaction systems.

Indexed as

Electronic NoseFish GelatinGas-sensingIonic LiquidLiquid CrystalVolatile Organic Compounds

Identifiers

PMID38264766
PMCPMC7615558

What OpenQuestion holds

Textmetadata
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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.