Acosta Elly V, Ospina-E Juan C, Muñoz Diego A, Alvarez Hernan
Industria de Alimentos Zenú S.A.S., Centro de Investigación y Desarrollo Cárnico CI+D, Cra 64C, 104-03 Medellín, Colombia.
ÓPTIMO, Optimización Matemática de Procesos ÓPTIMO, Centro de Ciencia Básica, Universidad Pontificia Bolivariana, Circular 1, 70-01, Medellín, Colombia.
J Food Sci Technol. 2021 Feb;58(2):701-709. doi: 10.1007/s13197-020-04584-2. Epub 2020 Jul 18.
This study aims to build a model for predicting the hardness of meat products by considering their protein fractions and protein structural changes during production. Protein solubility is considered an indicator of protein structural changes. The obtained model results show that structural changes of sarcoplasmic and myofibrillar proteins occur during production. The gelling capacity is formed by the effect of the three protein fractions, namely myofibrillar, sarcoplasmic and stromal. The obtained model allows the prediction of the hardness of meat products based on their protein fraction contents with error below 5%, thus reaching a significant adjustment between real process data and the simulated model.
本研究旨在通过考虑肉制品在生产过程中的蛋白质组分和蛋白质结构变化,建立一个预测肉制品硬度的模型。蛋白质溶解度被视为蛋白质结构变化的一个指标。所获得的模型结果表明,在生产过程中肌浆蛋白和肌原纤维蛋白会发生结构变化。凝胶形成能力是由肌原纤维、肌浆和基质这三种蛋白质组分的作用形成的。所获得的模型能够根据肉制品的蛋白质组分含量预测其硬度,误差低于5%,从而在实际过程数据和模拟模型之间实现了显著的匹配。