MRI-aided texture analyses of compressed meat products. (August 2017)

• Record Type: Journal Article
• Authors: Bajd, Franci; Škrlep, Martin; Čandek-Potokar, Marjeta; Serša, Igor
• Is Part Of: Journal of food engineering. Volume 207(2017)
• Page Start: 108
• Page End: 118
• Publication Date: 2017-08
• Subjects: Compression-recovery experiment -- Creep compliance -- Meat products -- Magnetic resonance imaging -- Texture -- Gray-level co-occurrence matrix; Food industry and trade -- Periodicals; Food -- Analysis -- Periodicals; Aliments -- Industrie et commerce -- Périodiques; Aliments -- Analyse -- Périodiques; Aliments -- Recherche -- Périodiques; 664.005
• DOI: 10.1016/j.jfoodeng.2017.03.026
• Languages: English
• ISSNs: 0260-8774

Abstract

Abstract: Viscoelastic properties of food products can already be assessed by conventional (non-imaging) methods, such as compression-recovery creep (CRC), texture property analysis (TPA) and stress-relaxation (SR) methods. In the study, an alternative to these methods based on MRI of samples in a compression cell is proposed. Different commercial meat products were subjected to two different compression protocols. The first (protocol P1) was designed to mimic a CRC experiment and the second (protocol P2) was based on application of three different constant pressures (0, 160, 400 kPa). The samples were imaged either by consecutive 1D MR intensity profiles (protocol P1) or by 3D T 2 mapping (protocol P2). Compression-induced samples changes were characterized by creep compliance obtained from the 1D profiles, while the T 2 maps were analyzed by using first- and second-order statistical texture feature analyses. The approach enabled spatially-resolved assessment of viscoelastic properties and compression-induced structural changes of the examined samples. Highlights: MRI enables assessment of compression-induced changes in food. The changes can be characterized by creep compliance and by T 2 mapping. Creep compliance can be determined from a sequence of 1D MR intensity profiles. Texture feature analyses of T 2 maps provide additional information on the changes. The method is an alternative to the standard methods for texture feature assessment.