Please use this identifier to cite or link to this item: http://hdl.handle.net/10773/23815
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dc.contributor.authorSalvador, Ângelo C.pt
dc.contributor.authorBaptista, Inêspt
dc.contributor.authorBarros, António S.pt
dc.contributor.authorGomes, Newton C. M.pt
dc.contributor.authorCunha, Ângelapt
dc.contributor.authorAlmeida, Adelaidept
dc.contributor.authorRocha, Silvia M.pt
dc.date.accessioned2018-07-12T09:58:53Z-
dc.date.available2018-07-12T09:58:53Z-
dc.date.issued2013-
dc.identifier.issn1932-6203pt
dc.identifier.urihttp://hdl.handle.net/10773/23815-
dc.description.abstractA novel approach based on headspace solid-phase microextraction (HS-SPME) combined with comprehensive two-dimensional gas chromatography-time-of-flight mass spectrometry (GC×GC-ToFMS) was developed for the simultaneous screening of microbial and mite contamination level in cereals and coffee beans. The proposed approach emerges as a powerful tool for the rapid assessment of the microbial contamination level (ca. 70 min versus ca. 72 to 120 h for bacteria and fungi, respectively, using conventional plate counts), and mite contamination (ca. 70 min versus ca. 24 h). A full-factorial design was performed for optimization of the SPME experimental parameters. The methodology was applied to three types of rice (rough, brown, and white rice), oat, wheat, and green and roasted coffee beans. Simultaneously, microbiological analysis of the samples (total aerobic microorganisms, moulds, and yeasts) was performed by conventional plate counts. A set of 54 volatile markers was selected among all the compounds detected by GC×GC-ToFMS. Principal Component Analysis (PCA) was applied in order to establish a relationship between potential volatile markers and the level of microbial contamination. Methylbenzene, 3-octanone, 2-nonanone, 2-methyl-3-pentanol, 1-octen-3-ol, and 2-hexanone were associated to samples with higher microbial contamination level, especially in rough rice. Moreover, oat exhibited a high GC peak area of 2-hydroxy-6-methylbenzaldehyde, a sexual and alarm pheromone for adult mites, which in the other matrices appeared as a trace component. The number of mites detected in oat grains was correlated to the GC peak area of the pheromone. The HS-SPME/GC×GC-ToFMS methodology can be regarded as the basis for the development of a rapid and versatile method that can be applied in industry to the simultaneous assessment the level of microbiological contamination and for detection of mites in cereals grains and coffee beans.pt
dc.language.isoengpt
dc.publisherPublic Library of Sciencept
dc.rightsopenAccesspor
dc.titleCan volatile organic metabolites be used to simultaneously assess microbial and mite contamination level in cereal grains and coffee beans?pt
dc.typearticlept
dc.peerreviewedyespt
ua.distributioninternationalpt
degois.publication.firstPage1 - e59338pt
degois.publication.issue4pt
degois.publication.issue4
degois.publication.lastPage13 - e59338pt
degois.publication.titlePLoS ONEpt
degois.publication.volume8pt
dc.identifier.doi10.1371/journal.pone.0059338pt
Appears in Collections:CESAM - Artigos
DBio - Artigos
DQ - Artigos
QOPNA - Artigos

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