Mostrar el registro sencillo del ítem
dc.contributor.author
Fabris, Alessandra
dc.contributor.author
Biasioli, Franco
dc.contributor.author
Granitto, Pablo Miguel
dc.contributor.author
Aprea, Eugenio
dc.contributor.author
Cappellin, Luca
dc.contributor.author
Schuhfried, Erna
dc.contributor.author
Soukoulis, Christos
dc.contributor.author
Märk, Tilmann D.
dc.contributor.author
Gasperi, Flavia
dc.contributor.author
Endrizzi, Isabella
dc.date.available
2017-04-11T20:56:38Z
dc.date.issued
2010-09
dc.identifier.citation
Fabris, Alessandra; Biasioli, Franco; Granitto, Pablo Miguel; Aprea, Eugenio; Cappellin, Luca; et al.; PTR-TOF-MS and data-mining methods for rapid characterisation of agro-industrial samples: influence of milk storage conditions on the volatile compounds profile of Trentingrana cheese; Wiley; Journal Of Mass Spectrometry; 45; 9; 9-2010; 1065-1074
dc.identifier.issn
1076-5174
dc.identifier.uri
http://hdl.handle.net/11336/15182
dc.description.abstract
Proton transfer reaction-mass spectrometry (PTR-MS), a direct injection mass spectrometric technique based on an efficient implementation of chemical ionisation, allows for fast and high-sensitivity monitoring of volatile organic compounds (VOCs). The first implementations of PTR-MS, based on quadrupole mass analyzers (PTR-Quad-MS), provided only the nominal mass of the ions measured and thus little chemical information. To partially overcome these limitations and improve the analytical capability of this technique, the coupling of proton transfer reaction ionisation with a time-of-flight mass analyser has been recently realised and commercialised (PTR-TOF-MS). Here we discuss the very first application of this new instrument to agroindustrial problems and dairy science in particular. As a case study, we show here that the rapid PTR-TOF-MS fingerprinting coupled with data-miningmethods can quickly verify whether the storage condition of themilk affects the final quality of cheese and we provide relevant examples of better compound identification in comparison with the previous PTR-MS implementations. In particular, ‘Trentingrana’ cheese produced by four different procedures for milk storage are compared both in the case of winter and summer production. It is indeed possible to set classification models with low prediction errors and to identify the chemical formula of the ion peaks used for classification, providing evidence of the role that this novel spectrometric technique can play for fundamental and applied agro-industrial themes.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Wiley
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Proton Transfer Reaction Mass Spectrometry
dc.subject
Time of Flight
dc.subject
Trentingrana
dc.subject
Volatile Compounds
dc.subject.classification
Biotecnología Agrícola y Biotecnología Alimentaria
dc.subject.classification
Biotecnología Agropecuaria
dc.subject.classification
CIENCIAS AGRÍCOLAS
dc.title
PTR-TOF-MS and data-mining methods for rapid characterisation of agro-industrial samples: influence of milk storage conditions on the volatile compounds profile of Trentingrana cheese
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-04-11T17:42:30Z
dc.journal.volume
45
dc.journal.number
9
dc.journal.pagination
1065-1074
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Hoboken
dc.description.fil
Fil: Fabris, Alessandra. Instituto Agrario San Michele All'adige Fondazione Edmund Mach; Italia
dc.description.fil
Fil: Biasioli, Franco. Instituto Agrario San Michele All'adige Fondazione Edmund Mach; Italia
dc.description.fil
Fil: Granitto, Pablo Miguel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; Argentina. Universidad Nacional de Rosario; Argentina
dc.description.fil
Fil: Aprea, Eugenio. Instituto Agrario San Michele All'adige Fondazione Edmund Mach; Italia
dc.description.fil
Fil: Cappellin, Luca. Instituto Agrario San Michele All'adige Fondazione Edmund Mach; Italia. Universidad de Innsbruck; Austria
dc.description.fil
Fil: Schuhfried, Erna. Universidad de Innsbruck; Austria
dc.description.fil
Fil: Soukoulis, Christos. Instituto Agrario San Michele All'adige Fondazione Edmund Mach; Italia
dc.description.fil
Fil: Märk, Tilmann D.. Universidad de Innsbruck; Austria
dc.description.fil
Fil: Gasperi, Flavia. Instituto Agrario San Michele All'adige Fondazione Edmund Mach; Italia
dc.description.fil
Fil: Endrizzi, Isabella. Instituto Agrario San Michele All'adige Fondazione Edmund Mach; Italia
dc.journal.title
Journal Of Mass Spectrometry
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1002/jms.1797
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://onlinelibrary.wiley.com/doi/10.1002/jms.1797/abstract
Archivos asociados