Urrutia Vera, Olaia

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Urrutia Vera

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Olaia

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Agronomía, Biotecnología y Alimentación

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IS-FOOD. Research Institute on Innovation & Sustainable Development in Food Chain

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Now showing 1 - 2 of 2
  • PublicationOpen Access
    Predicting beef carcass fatness using an image analysis system
    (MDPI, 2021) Mendizábal Aizpuru, José Antonio; Ripoll, Guillermo; Urrutia Vera, Olaia; Insausti Barrenetxea, Kizkitza; Soret Lafraya, Beatriz; Arana Navarro, Ana; Institute on Innovation and Sustainable Development in Food Chain - ISFOOD
    The amount and distribution of subcutaneous fat is an important factor affecting beef carcass quality. The degree of fatness is determined by visual assessments scored on a scale of five fatness levels (the SEUROP system). New technologies such as the image analysis method have been developed and applied in an effort to enhance the accuracy and objectivity of this classification system. In this study, 50 young bulls were slaughtered (570 ± 52.5 kg) and after slaughter the carcasses were weighed (360 ± 33.1 kg) and a SEUROP system fatness score assigned. A digital picture of the outer surface of the left side of the carcass was taken and the area of fat cover (fat area) was measured using an image analysis system. Commercial cutting of the carcasses was performed 24 h post-mortem. The fat trimmed away on cutting (cutting fat) was weighed. A regression analysis was carried out for the carcass cutting fat (y-axis) on the carcass fat area (x-axis) to establish the accuracy of the image analysis system. A greater accuracy was obtained by the image analysis (R2 = 0.72; p < 0.001) than from the visual fatness scores (R2 = 0.66; p > 0.001). These results show the image analysis to be more accurate than the visual assessment system for predicting beef carcass fatness.
  • PublicationOpen Access
    Insights into the role of major bioactive dietary nutrients in lamb meat quality: a review
    (BMC, 2022) Álvarez-Rodríguez, Javier; Urrutia Vera, Olaia; Lobón, Sandra; Ripoll, Guillermo; Bertolín, Juan R.; Joy Torrens, Margalida; Agronomía, Biotecnología y Alimentación; Agronomia, Bioteknologia eta Elikadura
    Feed supplementation with α-linolenic acid (ALA) and linoleic acid (LA) increases their content in muscle, ALA increases n-3 polyunsaturated fatty acids and decrease n-6/n-3 ratio in muscle, and LA increases rumenic acid. However, high LA supplementation may have negative effects on lambs’ lipid oxidative stability of meat. When the sources of ALA and LA are fed as fresh forage, the negative effects are counterbalanced by the presence of other bioactive compounds, as vitamin E (mainly α-tocopherol) and polyphenols, which delay the lipid oxidation in meat. There is a wide consensus on the capability of vitamin E delaying lipid oxidation on lamb meat, and its feed content should be adjusted to the length of supplementation. A high dietary inclusion of proanthocyanidins, phenolic compounds and terpenes reduce the lipid oxidation in muscle and may improve the shelf life of meat, probably as a result of a combined effect with dietary vitamin E. However, the recommended dietary inclusion levels depend on the polyphenol type and concentration and antioxidant capacity of the feedstuffs, which cannot be compared easily because no routine analytical grading methods are yet available. Unless phenolic compounds content in dietary ingredients/supplements for lambs are reported, no specific association with animal physiology responses may be established.