2019
DOI: 10.1002/jsfa.9577
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Colour profile analysis of Port wines by various instrumental and visual methods

Abstract: BACKGROUND Wine colour is an important quality parameter, being the first sensorial attribute evaluated during wine tasting. The perception of wine colour can be different depending on many factors, including the depth of the sample under observation. The main objectives of the present study were to measure the colour of Port wines using CIE L*, a*, b* parameters at different depths with various instrumental techniques (spectrophotometry and colorimetry), and to compare the obtained results with the sensory (v… Show more

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Cited by 7 publications
(4 citation statements)
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“…The color of a fruit is the result of a complex mixture of pigments, which do not remain the same qualitatively or quantitatively but change over time, due to chemical reactions that occur between the pigments and the oxygen or other compounds present in the wine [36]. In wine, color is an important quality parameter, since it can be one of the first attributes that define it organoleptically.…”
Section: Resultsmentioning
confidence: 99%
“…The color of a fruit is the result of a complex mixture of pigments, which do not remain the same qualitatively or quantitatively but change over time, due to chemical reactions that occur between the pigments and the oxygen or other compounds present in the wine [36]. In wine, color is an important quality parameter, since it can be one of the first attributes that define it organoleptically.…”
Section: Resultsmentioning
confidence: 99%
“…Color is an important quality parameter in wines, being one of the first evaluated attributes during wine tasting. Wine color is the result of a complex mixture of pigments, which changes over time, due to chemical reactions between the pigments and also with oxygen and other wine components [ 12 ]. Therefore, it is thought that color can be one of the parameters to evaluate the Kampo formula decoction solution.…”
Section: Introductionmentioning
confidence: 99%
“…Analytical methods involving digital images have been widely applied in many types of samples, such as cold meats, 10 sugarcane spirits, 11 citrus, 12,13 wine, 14 grain, 14 sugarcane, 4 and endoglucanase activity, 15 as far as the authors are aware. For instance, Camargo et al 16 .…”
Section: Introductionmentioning
confidence: 99%
“…[6][7][8] Antonelli et al 9 evaluated food color using a typical digital charge-coupled device (CCD) camera on inhomogeneous food matrices along with multivariate chemometrics tools using RGB color-space. Analytical methods involving digital images have been widely applied in many types of samples, such as cold meats, 10 sugarcane spirits, 11 citrus, 12,13 wine, 14 grain, 14 sugarcane, 4 and endoglucanase activity, 15 as far as the authors are aware. For instance, Camargo et al 16 and Floriam et al 17 estimated the bulk density of grains using ten color descriptors, red (R), green (G), blue (B), hue (H), saturation (S), value (V), relative colors of red (Rr), green (Rg) and (Rb), and luminosity (L), using multivariate methods.…”
Section: Introductionmentioning
confidence: 99%