MRI-aided texture analyses of compressed meat products

被引:9
作者
Bajd, Franci [1 ,2 ]
Skrlep, Martin [3 ]
Candek-Potokar, Marjeta [3 ]
Sersa, Igor [1 ,2 ]
机构
[1] Jozef Stefan Inst, Jamova 39, Ljubljana 1000, Slovenia
[2] Univ Ljubljana, Fac Math & Phys, Jadranska 19, Ljubljana 1000, Slovenia
[3] Agr Inst Slovenia, Hacquetova 17, Ljubljana 1000, Slovenia
关键词
Compression-recovery experiment; Creep compliance; Meat products; Magnetic resonance imaging; Texture; Gray-level co-occurrence matrix; MAGNETIC-RESONANCE MICROSCOPY; PROFILE ANALYSIS TPA; CREEP; QUALITY; RELAXATION; FEATURES; PREDICT; MODELS;
D O I
10.1016/j.jfoodeng.2017.03.026
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
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. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:108 / 118
页数:11
相关论文
共 36 条
[1]   Stress relaxation characteristics of low-fat chicken sausages made in Argentina [J].
Andres, Silvina C. ;
Zaritzky, Noemi E. ;
Califano, Alicia N. .
MEAT SCIENCE, 2008, 79 (03) :589-594
[2]   Use of multiparametric magnetic resonance microscopy for discrimination among different processing protocols and anatomical positions of Slovenian dry-cured hams [J].
Bajd, Franci ;
Skrlep, Martin ;
Candek-Potokar, Marjeta ;
Vidmar, Jernej ;
Sersa, Igor .
FOOD CHEMISTRY, 2016, 197 :1093-1101
[3]   Sensory and texture properties of Italian typical dry-cured hams as related to maturation time and salt content [J].
Benedini, Riccardo ;
Parolari, Giovanni ;
Toscani, Tania ;
Virgili, Roberta .
MEAT SCIENCE, 2012, 90 (02) :431-437
[4]   Dynamic magnetic resonance microscopy of flour dough fermentation [J].
Bonny, JM ;
Rouille, J ;
Della Valle, G ;
Devaux, MF ;
Douliez, JP ;
Renou, JP .
MAGNETIC RESONANCE IMAGING, 2004, 22 (03) :395-401
[5]   In Situ Imaging Highlights Local Structural Changes during Heating: The Case of Meat [J].
Bouhrara, Mustapha ;
Clerjon, Sylvie ;
Damez, Jean-Louis ;
Kondjoyan, Alain ;
Bonny, Jean-Marie .
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY, 2012, 60 (18) :4678-4687
[6]   Data Mining on MRI-Computational Texture Features to Predict Sensory Characteristics in Ham [J].
Caballero, Daniel ;
Antequera, Teresa ;
Caro, Andres ;
Luisa Duran, Ma ;
Perez-Palacios, Trinidad .
FOOD AND BIOPROCESS TECHNOLOGY, 2016, 9 (04) :699-708
[7]  
Callaghan P. T., 1991, Principles of Nuclear Magnetic Resonance Microscopy
[8]   Analyzing magnetic resonance images of Iberian pork loin to predict its sensorial characteristics [J].
Cernadas, E ;
Carrión, P ;
Rodriguez, PG ;
Muriel, E ;
Antequera, T .
COMPUTER VISION AND IMAGE UNDERSTANDING, 2005, 98 (02) :345-361
[9]   Texture measurement approaches in fresh and processed foods - A review [J].
Chen, Lan ;
Opara, Umezuruike Linus .
FOOD RESEARCH INTERNATIONAL, 2013, 51 (02) :823-835
[10]   An analysis of co-occurrence texture statistics as a function of grey level quantization [J].
Clausi, DA .
CANADIAN JOURNAL OF REMOTE SENSING, 2002, 28 (01) :45-62