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dc.contributor.authorPérez-Bernal J.L.
dc.contributor.authorVillar-Navarro M.
dc.contributor.authorMorales M.L.
dc.contributor.authorUbeda C.
dc.contributor.authorCallejón R.M.
dc.date.accessioned2020-09-02T22:26:26Z
dc.date.available2020-09-02T22:26:26Z
dc.date.issued2017
dc.identifier10.1016/j.compag.2017.07.029
dc.identifier.citation141, , 248-254
dc.identifier.issn01681699
dc.identifier.urihttps://hdl.handle.net/20.500.12728/5915
dc.descriptionA fast, reliable colorimetric method based on colour measurements obtained from digital images of sparkling wine to study wine browning is proposed. Digital images were obtained, using a smartphone camera and a diffuse light source as the measurement device and, in order to isolate external influences, a suitable blackbox. Images in Red Green and Blue (RGB) colour space were splitted into the three basic channels (R, G, and B) and their values were used to monitor the browning process. Four sparkling Cava wines were monitored during an accelerated browning process. Results showed that while the Red and Green channels remained almost constant, the browning process affected primarily the Blue channel, decay being time-dependent. The Blue channel decay (%Bt) percentage over time is proposed as a new quality marker. This value had a high correlation with absorbance at 420 nm and 5-hydroxymethyl-2-furfural contents. These latter are the most usual markers of wine browning and the results obtained show that %Bt is a good browning descriptor. The advantages of the proposed methodology are single-step multiple samples analysis, affordable instrumentation and the fact that sample preparation is not required. © 2017 Elsevier B.V.
dc.language.isoen
dc.publisherElsevier B.V.
dc.subjectBrowning
dc.subjectCava
dc.subjectDigital image analysis
dc.subjectHeating
dc.subjectKinetic modelling
dc.subjectColor
dc.subjectColorimetry
dc.subjectHeating
dc.subjectImage processing
dc.subjectLight sources
dc.subjectSmartphones
dc.subjectBrowning
dc.subjectCava
dc.subjectColorimetric methods
dc.subjectColour measurement
dc.subjectDigital image analysis
dc.subjectExternal influences
dc.subjectKinetic modelling
dc.subjectSmart-phone cameras
dc.subjectWine
dc.titleThe smartphone as an economical and reliable tool for monitoring the browning process in sparkling wine
dc.typeArticle


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