Publicação
Fish gelatin-based films for gas sensing
| dc.contributor.author | Moreira, Inês Pimentel | |
| dc.contributor.author | Sato, Laura | |
| dc.contributor.author | Alves, Cláudia | |
| dc.contributor.author | Palma, Susana | |
| dc.contributor.author | Roque, Ana Cecília | |
| dc.contributor.institution | UCIBIO - Applied Molecular Biosciences Unit | |
| dc.contributor.institution | DQ - Departamento de Química | |
| dc.date.accessioned | 2022-07-06T22:15:26Z | |
| dc.date.available | 2022-07-06T22:15:26Z | |
| dc.date.issued | 2021 | |
| dc.description | UID/Multi/04378/2020 | |
| dc.description.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. | en |
| dc.description.version | publishersversion | |
| dc.description.version | published | |
| dc.format.extent | 8 | |
| dc.format.extent | 5132912 | |
| dc.identifier.doi | 10.5220/0010206200320039 | |
| dc.identifier.isbn | 9789897584909 | |
| dc.identifier.other | PURE: 36734066 | |
| dc.identifier.other | PURE UUID: a9054964-b37e-4d45-a2a1-03365b4ce911 | |
| dc.identifier.other | Scopus: 85103826522 | |
| dc.identifier.other | WOS: 000664115200002 | |
| dc.identifier.other | ORCID: /0000-0002-1851-8110/work/113944947 | |
| dc.identifier.uri | http://hdl.handle.net/10362/141468 | |
| dc.identifier.url | https://www.scopus.com/pages/publications/85103826522 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | SciTePress - Science and Technology Publications | |
| dc.relation | info:eu-repo/grantAgreement/EC/H2020/639123/EU | |
| dc.relation | SCENT: Hybrid Gels for Rapid Microbial Detection | |
| dc.subject | Electronic nose | |
| dc.subject | Fish gelatin | |
| dc.subject | Gas-sensing | |
| dc.subject | Ionic liquid | |
| dc.subject | Liquid crystal | |
| dc.subject | Volatile organic compounds | |
| dc.subject | Biomedical Engineering | |
| dc.subject | Electrical and Electronic Engineering | |
| dc.title | Fish gelatin-based films for gas sensing | en |
| dc.type | conference object | |
| degois.publication.firstPage | 32 | |
| degois.publication.lastPage | 39 | |
| degois.publication.title | BIODEVICES 2021 - 14th International Conference on Biomedical Electronics and Devices; Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021 | |
| degois.publication.title | 14th International Conference on Biomedical Electronics and Devices, BIODEVICES 2021 - Part of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2021 | |
| degois.publication.volume | 1 | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | 639123 | |
| oaire.awardTitle | SCENT: Hybrid Gels for Rapid Microbial Detection | |
| oaire.awardURI | info:eu-repo/grantAgreement/EC/H2020/639123/EU | |
| oaire.fundingStream | H2020 | |
| project.funder.identifier | http://doi.org/10.13039/501100008530 | |
| project.funder.name | European Commission | |
| rcaap.rights | openAccess | |
| relation.isProjectOfPublication | bfeee009-c776-416d-938d-a470ba963858 | |
| relation.isProjectOfPublication.latestForDiscovery | bfeee009-c776-416d-938d-a470ba963858 |
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