Drip loss assessment by different analytical methods and their relationships with pork quality classification

dc.creatorTorres Filho, Robledo de Almeida
dc.creatorCazedey, Henrique Pereira
dc.creatorFontes, Paulo Rogério
dc.creatorRamos, Alcinéia de Lemos Souza
dc.creatorRamos, Eduardo Mendes
dc.date.accessioned2018-08-31T19:45:17Z
dc.date.available2018-08-31T19:45:17Z
dc.date.issued2017
dc.description.abstractWe analyzed drip loss in pork by comparing the standard bag (DL), filter-paper wetness (FPW), and EZ-DripLoss methods by weighing the meat juice container and dabbed sample after 24 h and 48 h. Samples were classified into quality categories based on pH, color, and drip loss. The relationship between DL and FPW revealed the cut-off of 5% DL as corresponding to FPW of 139 mg; 1.89% when analyzed by weighing meat juice container or dabbed sample after 24 h; and 3.18% and 3.74% for those analyzed by weighing both meat juice container and dabbed sample after 48 h, respectively. Highest correlations were observed between DL and EZ when the meat juice container was weighed after 48 h (). The EZ-DripLoss method in which the meat juice container was weighed after 24 h was able to distinguish drip loss into meat-quality categories in accordance with the bag method. Therefore, this method is recommended for meat categorization because of its greater standardization and ease of application.pt_BR
dc.identifier.citationTORRES FILHO, R. de A. et al. Drip loss assessment by different analytical methods and their relationships with pork quality classification. Journal of Food Quality, [S.l.], 2017.pt_BR
dc.identifier.urihttps://repositorio.ufla.br/handle/1/30350
dc.languagept_BRpt_BR
dc.publisherHindawipt_BR
dc.rightsAttribution 4.0 International*
dc.rightsAttribution 4.0 International
dc.rightsacesso abertopt_BR
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceJournal of Food Qualitypt_BR
dc.titleDrip loss assessment by different analytical methods and their relationships with pork quality classificationpt_BR
dc.typeArtigopt_BR

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