Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/149703
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dc.creatorMota, I-
dc.creatorTeixeira-Santos, R-
dc.creatorCavaleiro Rufo, J-
dc.date.accessioned2023-05-23T14:49:50Z-
dc.date.available2023-05-23T14:49:50Z-
dc.date.issued2021-
dc.identifier.issn1749-4613-
dc.identifier.issn1878-0253-
dc.identifier.urihttps://hdl.handle.net/10216/149703-
dc.description.abstractA rapid and effective identification of fungal species is essential for numerous applications, and electronic nose systems are being proposed as suitable alternatives to currently available fungi identification techniques. Hence, the present review aims to unveil all published information concerning fungi identification by electronic nose systems. A systematic review of the literature was conducted according to the PRISMA guidelines. A total of 16 articles met the inclusion criteria and were included in the analysis. The results of the reviewed studies demonstrated that effective detection of fungi was possible through sensor-based electronic nose systems, which may actually function as a mycotoxin screening tool for several applications. The obtained results suggest that the sensor-based electronic nose systems may not only screen different fungi genera, but also identify the associated species. This technology has already been experimented in several fields, from food industry to clinical practice. By summarizing these results, the present review may accelerate the standardization of electronic noses in fungi detection and discrimination, allowing a faster and more efficient screening of samples.-
dc.description.sponsorshipThis work has been performed within the framework of the EXALAR 21 project, which was funded by the European Regional Development Fund (FEDER), through the Competitiveness and Internationalization Operational Programme, and by national funding from the Foundation for Science and Technology (FCT) under the reference info:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC/GES-AMB/30193/2017/PT (POCI-01-0145-FEDER-030193, 02/SAICT/2017 - Project nº 30193).-
dc.language.isoeng-
dc.publisherElsevier-
dc.relationinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC/GES-AMB/30193/2017/PT-
dc.relation.ispartofFungal Biology Reviews. 2021; 37: 59-70-
dc.rightsrestrictedAccess-
dc.subjectElectronic nose-
dc.subjectSensors-
dc.subjectTranslational microbiology-
dc.subjectVolatilomics-
dc.titleDetection and identification of fungal species by electronic nose technology: A systematic review-
dc.typeArtigo em Revista Científica Internacional-
dc.contributor.uportoInstituto de Saúde Pública da Universidade do Porto-
dc.identifier.doi10.1016/j.fbr.2021.03.005-
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1749461321000142?via%3Dihub-
Appears in Collections:ISPUP - Artigo em Revista Científica Internacional

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