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| Joo, Young Ho; Kim, Sam Churl; Lee, Hyuk Jun; Jang, Woo Whan; Choi, In Hag. |
| We evaluated meat quality and color of breast during storage in ducks fed diet supplemented with different forms of Houttuynia cordata (HC) with fermented red koji (FRK). In total, 240 one-day-old Pekin ducks (160 males and 80 females) were allocated to four diet treatments (control, 1% HC powder mixed with FRK, pelleted 1% HC with FRK, and coated pellets of 1% HC with FRK). At days 3 and 7 of storage, pH values were slightly influenced (p < 0.05) by different forms of HC with FRK, but was no influence at day 0 of storage day. Diet treatments with different forms of HC and FRK had an effect (p < 0.05) on TBARS values at 0, 3, and 7 days of storage and DPPH radical-scavenging activity at 0 days of storage, except for cooking loss. Overall, in breast... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Duck breast meat; Fermented red koji; Houttuynia cordata; Meat color; Meat quality.. |
| Ano: 2019 |
URL: http://periodicos.uem.br/ojs/index.php/ActaSciAnimSci/article/view/44066 |
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| Mello,Renius; Vaz,Fabiano Nunes; Pacheco,Paulo Santana; Pascoal,Leonir Luiz; Prestes,Rosa Cristina; Costa,Patrícia Barcellos; Kipper,Djenifer Kirch. |
| Intramuscular fat (IMF) influences important quality characteristics of meat, such as flavor, juiciness, palatability, odor and tenderness. Thus, the objective of this study was to apply the following image processing techniques to quantify the IMF in beef: palette; sampling, interval of coordinates; black and white threshold; and discriminant function of colors. Thirty-five samples of beef, with a wide range of IMF, were used. Color images were taken of the meat samples from different muscles, with variability in the IMF content. The IMF of a thin cross-section meat was determined by chemical lipid extraction and was predicted by image analysis. The chemical method was compared with the image analysis. The segmentation procedures were validated by the... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Tissue characterization; Meat industry; Marbling; Image processing; Meat quality.. |
| Ano: 2015 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84782015001001865 |
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