Magnetic Resonance Imaging (MRI) of Spanish Sheep Cheese: A Study on the Relationships between Ripening Times, Geographical Origins, Textural Parameters, and MRI Parameters

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 (<i>T</i><sub>1</sub>) and transverse (<i>T</i><sub>2</sub>) 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<sup>2</sup> when monitoring the dependency on <i>T</i><sub>1</sub> and <i>T</i><sub>2</sub> 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.

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Publication Details

Journal
Foods
Published
2024-10-10
DOI
https://doi.org/10.3390/foods13203225
Citations
3
Primary Topic
Meat and Animal Product Quality
Type
article
Field-Weighted Citation Impact
1.02

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article

Magnetic Resonance Imaging (MRI) of Spanish Sheep Cheese: A Study on the Relationships between Ripening Times, Geographical Origins, Textural Parameters, and MRI Parameters

Marı́a Isabel Cambero Rodríguez, David Castejón, María Dolores Romero-de-Ávila, María Encarnación Fernández-Valle et al.
3 citations
Foods
Meat and Animal Product Quality
1.02
article

Magnetic Resonance Imaging (MRI) of Spanish Sheep Cheese: A Study on the Relationships between Ripening Times, Geographical Origins, Textural Parameters, and MRI Parameters

Marı́a Isabel Cambero Rodríguez, David Castejón, María Dolores Romero-de-Ávila, María Encarnación Fernández-Valle, José Segura, Víctor Remiro, Karen Paola Cruz-Díaz
article en
3 citations

Abstract

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 (<i>T</i><sub>1</sub>) and transverse (<i>T</i><sub>2</sub>) 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<sup>2</sup> when monitoring the dependency on <i>T</i><sub>1</sub> and <i>T</i><sub>2</sub> 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.

FoodsVol. 13(20)
Universidad Complutense de Madrid (ES)
Ministerio de Ciencia e Innovación
Openalex Percentile: Top 25%
Meat and Animal Product Quality
1.02
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Magnetic Resonance Imaging (MRI) of Spanish Sheep Cheese: A Study on the Relationships between Ripening Times, Geographical Origins, Textural Parameters, and MRI Parameters — Marı́a Isabel Cambero Rodríguez, David Castejón, et al. · Foods (2024) | TGRS Research Map | TGRS