2016
DOI: 10.1016/j.meatsci.2016.05.002
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Relationship between colorimetric (instrumental) evaluation and consumer-defined beef colour acceptability

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Cited by 65 publications
(45 citation statements)
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“…yellowness (r > 0.7) of steaks with the attractiveness and desire to purchase as assessed by consumers. In contrast, Holman et al (2016) observed that only L* and b* were related to the consumer opinion on beef color acceptance.…”
Section: Visual Evaluationmentioning
confidence: 69%
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“…yellowness (r > 0.7) of steaks with the attractiveness and desire to purchase as assessed by consumers. In contrast, Holman et al (2016) observed that only L* and b* were related to the consumer opinion on beef color acceptance.…”
Section: Visual Evaluationmentioning
confidence: 69%
“…Similar results were obtained in a study by Sakowska et al (), who evaluated the effects of treatment using three different concentrations of carbon monoxide (0.1, 0.3, and 0.5%) prior to vacuum packing and found a strong relation of redness ( r > 0.8) and yellowness ( r > 0.7) of steaks with the attractiveness and desire to purchase as assessed by consumers. In contrast, Holman et al () observed that only L * and b * were related to the consumer opinion on beef color acceptance.…”
Section: Resultsmentioning
confidence: 86%
“…Meat colour is defined by the concentration and chemical state of the muscle pigment, which can be measured using the hue angle (h ab ) and chroma (C à ab ) parameters of CIE L à a à b à (Renerre 1982). There are some studies relating CIE L à a à b à colour to consumer preferences, but most are focussed on beef or heavy lambs (Khliji et al 2010;Holman et al 2016). However, consumer colour preferences are different when assessing red meat and light meat and consequently use different colour cues.…”
Section: Introductionmentioning
confidence: 99%
“…Thus, consumers of heavy lambs preferred the reddest meat (Khliji et al 2010), while consumers of light lambs preferred pale meat (Bernu es et al 2012;Ripoll et al 2018b). In beef, a à provides the best prediction of the consumer acceptance of colour (Holman et al 2016), while C à ab is an important indication of colour . Albert ı et al (2002) used an artificial intelligence algorithm to find a function yield a score beef from 1 (light pink meat) to 5 (dark red meat).…”
Section: Introductionmentioning
confidence: 99%
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