Segura José, Fernández-Valle María Encarnación, Cruz-Díaz Karen Paola, Romero-de-Ávila María Dolores, Castejón David, Remiro Víctor, Cambero María Isabel
Food Technology Department, Faculty of Veterinary Medicine, Complutense University of Madrid, 28040 Madrid, Spain.
ICTS Complutense Bioimaging (BioImac), Research Assistance Centre, Complutense University of Madrid, 28040 Madrid, Spain.
Foods. 2024 Oct 10;13(20):3225. doi: 10.3390/foods13203225.
The evolution of structural changes and the textural features during the ripening process of four varieties of Spanish sheep cheese were studied using Magnetic Resonance Imaging (MRI). Specifically, longitudinal () and transverse () relaxation times and apparent diffusion coefficient maps were analyzed. Also, proton density was used to improve the description of the structure of the cheeses. The MRI results displayed important information about cheese matrix structure, associated with different manufacturing processes (industrial vs. traditional), ripening times (RTs, from 2 to 180 days), and geographical origins. A significant interaction between RT and cheese variety related to the variations in physicochemical and textural parameters was found. Linear regression models were developed per the abundant literature. Logarithmic regression models showed the highest R when monitoring the dependency on and parameters of water content, water activity, RT, and some texture parameters. Therefore, these results support that MRI is a useful technology to monitor the ripening process, predict textural behavior and physicochemical variables, and characterize the structure of different varieties of sheep cheese.
利用磁共振成像(MRI)技术研究了四种西班牙绵羊奶酪成熟过程中结构变化和质地特征的演变。具体而言,分析了纵向()和横向()弛豫时间以及表观扩散系数图。此外,质子密度用于更好地描述奶酪的结构。MRI结果显示了与不同制造工艺(工业生产与传统工艺)、成熟时间(RTs,从2天到180天)和地理来源相关的奶酪基质结构的重要信息。发现RT与奶酪品种之间存在显著相互作用,这与物理化学和质地参数的变化有关。根据大量文献建立了线性回归模型。在监测水分含量、水分活度、RT和一些质地参数对和参数的依赖性时,对数回归模型显示出最高的R值。因此,这些结果支持MRI是一种用于监测成熟过程、预测质地行为和物理化学变量以及表征不同品种绵羊奶酪结构的有用技术。