Color-copigmentation study by tristimulus colorimetry (CIELAB) in red wines obtained from Tempranillo and Graciano varieties

García-Marino, Matilde; Escudero-Gilete, M. Luisa; Heredia, Francisco J.; Escribano-Bailón, M. Teresa; Rivas-Gonzalo, Julián C.

doi:10.1016/j.foodres.2012.11.035

Cited by 64 publications

(49 citation statements)

References 30 publications

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“…These values indicate that the lower L* of the paint, the lower is its luminosity [18,23] . L* values indicate the difference in luminosity between samples.…”

Section: Colour Characterization Of Paint Filmsmentioning

confidence: 96%

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Development of paints with infrared radiation reflective properties

et al. 2015

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SbstractLarge buildings situated in hot regions of the Globe need to be agreeable to their residents. Air conditioning is extensively used to make these buildings comfortable, with consequent energy consumption. Absorption of solar visible and infrared radiations are responsible for heating objects on the surface of the Earth, including houses and buildings. To avoid excessive energy consumption, it is possible to use coatings formulated with special pigments that are able to reflect the radiation in the near-infrared, NIR, spectrum. To evaluate this phenomenon an experimental study about the reflectivity of paints containing infrared-reflective pigments has been made. By irradiating with an IR source and by measuring the surface temperatures of the samples we evaluated: color according to ASTM D 2244-14, UV/VIS/NIR reflectance according to ASTM E 903-12 and thermal performance. Additionally, the spectral reflectance and the IR emittance were measured and the solar reflectance of the samples were calculated. The results showed that plates coated with paints containing IR-reflecting pigments displayed lower air temperature on the opposite side as compared to conventional coatings, indicating that they can be effective to reflect NIR and decrease the temperature of buildings when used in roofs and walls.

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“…These values indicate that the lower L* of the paint, the lower is its luminosity [18,23] . L* values indicate the difference in luminosity between samples.…”

Section: Colour Characterization Of Paint Filmsmentioning

confidence: 96%

“…Colour difference (ΔE*) between two colour points in the CIELAB space are calculated as the Euclidean distance between their locations in the three-dimensional space defined by L*, a*, and b* [18] . Thus, mathematically, it is calculated using the formula [16] :…”

Section: Characterization Of Coatingsmentioning

confidence: 99%

Development of paints with infrared radiation reflective properties

et al. 2015

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“…CIELab coordinates for non-copigmented wines were estimated using diluted samples wavelengths measurements (Garcia-Marino et al 2013). This dilution leads to copigments-anthocyanin structures destruction, therefore only free anthocyanins and polymeric pigment color fractions remained and wine color without copigmentation can be measured.…”

Section: Wine Color Characteristicsmentioning

confidence: 99%

“…Moreover, colorimetric differences were also quantified and related with ageing and cultivars used. A new methodology (Garcia-Marino et al 2013), which determines such influence in the CIELab color space, was used to establish the influence of co-pigmentation on the color, in addition to the method developed by R.B. Boulton (1996).…”

Section: Introductionmentioning

confidence: 99%

Influence of copigmentation and phenolic composition on wine color

et al. 2016

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Chromatic characteristics and their relationships with copigmentation and phenolic composition were studied in 160 bottled red wines. Free anthocyanins, copigmented anthocyanins and polymeric pigments contributing to color were calculated according to Boulton protocol and related to main changes produced in wine visible spectra after destroying any copigmented anthocyanins effect. Color differences between copigmented and non copigmented wines were quantified and related with ageing, cultivar and phenolic profile. Phenomenon of co-pigmentation visually increases the colour at 420, 520 and 620 nm for most of wines. Copigmented wines showed a mean value of 8.26 CIELab units higher than non copigmented (ΔE ab(cnc) ), being this shift deeper for young wines than for aged wines. Copigmentation mostly changed hue and decreased L, a* and b* values therefore resulted into purplish and darker wine. Visual variations in color caused by copigmentation was related to particularly anthocyanins and copigments (mostly flavonols and hydroxycinnamic acids).

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“…A typical segmentation process fills in with ones and zeros of the image matrix locations, corresponding to the selected regions in each of the color channels of an image, as shown in Figure 2. It is well known in the food industry that the CIELAB color space is used to analyze color changes in a qualitative way [58][59][60][61][62]. Color and appearance are closely related to the sensory properties and chemical composition of food.…”

Section: Color Image Segmentationmentioning

confidence: 99%

Color Analysis and Image Processing Applied in Agriculture

Sandoval¹,

Rosas²,

Sandoval³

et al. 2018

Automation in Agriculture - Securing Food Supplies for Future Generations

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Color and appearance are perhaps the first attributes that attract us to a fruit or vegetable. Since the appearance of the product generally determines whether a product is accepted or rejected, measuring the color characteristics becomes an important task. To carry out the analysis of this key attribute for agriculture, it is recommended to use an artificial vision system to capture the images of the samples and then to process them by applying colorimetric routines to extract color parameters in an efficient and nondestructive manner, which makes it a suitable tool for a wide range of applications. The purpose of this chapter is to give an overview on recent development of image processing applied to color analysis from horticultural products, more specifically the practical usage of color image analysis in agriculture. As an example, quantitative values of color are extracted from Habanero Chili Peppers using image processing; the images from the samples were obtained using a desktop configuration of machine vision system. The material presented should be useful for students starting on the field, as well as for researchers looking for state-of-the-art studies and practical applications.

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Color-copigmentation study by tristimulus colorimetry (CIELAB) in red wines obtained from Tempranillo and Graciano varieties

Cited by 64 publications

References 30 publications

Development of paints with infrared radiation reflective properties

Development of paints with infrared radiation reflective properties

Influence of copigmentation and phenolic composition on wine color

Color Analysis and Image Processing Applied in Agriculture

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