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dc.contributorEscuela Superior y Tecnica de Ingenieros de Minases_ES
dc.contributor.authorFernández, Lucía
dc.contributor.authorAllende-Prieto, Cristina
dc.contributor.authorPeón, Juanjo
dc.contributor.authorRecondo, Carmen
dc.contributor.authorRodríguez Gonzálvez, Pablo 
dc.contributor.authorGutíerrez, Diana
dc.contributor.authorMartínez, Beatriz
dc.contributor.authorGarcía, Pilar
dc.contributor.authorRodríguez, Ana
dc.contributor.otherIngeniería Cartografica, Geodesica y Fotogrametriaes_ES
dc.date2019-08-01
dc.date.accessioned2020-08-13T10:00:01Z
dc.date.available2020-08-13T10:00:01Z
dc.identifier.issn0362-028X
dc.identifier.urihttp://hdl.handle.net/10612/12354
dc.description6 p.es_ES
dc.description.abstractBacterial biofilms constitute a major source of sanitary problems and economic losses in the food industry. Indeed, biofilm removal may require intense mechanical cleaning procedures or very high concentrations of disinfectants or both, which can be damaging to the environment and human health. This study assessed the efficacy of a technique based on spectroscopy in the visible, near-infrared, and short-wavelength infrared range for the quick detection of biofilms formed on polystyrene by the pathogenic bacterium Staphylococcus aureus. To do that, biofilms corresponding to three S. aureus strains, which differed in biofilm-forming ability and composition of the extracellular matrix, were allowed to develop for 5 or 24 h, representing an active formation stage and mature biofilms, respectively. Spectral analysis of the samples, corresponding to three biological replicates of each condition, was then performed by using a portable device. The results of these experiments showed that partial least squares discriminant analysis of the spectral profile could discriminate between surfaces containing attached bacterial biomass and non-inoculated ones. In this model, the two first principal components accounted for 39 and 19% of the variance and the estimated error rate stabilized after four components. Cross-validation accuracy of this assessment was 100%. This work lays the foundation for subsequent development of a spectroscopy-based protocol that allows biofilm detection on food industrial surfaceses_ES
dc.languageenges_ES
dc.publisherInternational Association for Food Protectiones_ES
dc.subjectIngenieríases_ES
dc.subject.otherBiofilmses_ES
dc.subject.otherSpectroscopyes_ES
dc.subject.otherDetectiones_ES
dc.subject.otherFood industryes_ES
dc.titlePreliminary assessment of VIS-NIR-SWIR spectroscopy with a portable instrument for the detection of Staphylococcus aureus biofilms on surfaceses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.identifier.doihttps://doi.org/10.4315/0362-028X.JFP-18-567
dc.description.peerreviewedSIes_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.journal.titleJournal of Food Protectiones_ES
dc.volume.number82es_ES
dc.issue.number8es_ES
dc.page.initial1314es_ES
dc.page.final1319es_ES
dc.type.hasVersioninfo:eu-repo/semantics/draftes_ES


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