Novel X-ray phase-contrast tomography method for quantitative studies of heat induced structural changes in meat.

The objective of this study was to evaluate the use of X-ray phase-contrast tomography combined with 3D image segmentation to investigate the heat induced structural changes in meat. The measurements were performed at the Swiss synchrotron radiation light source using a grating interferometric setup. The non-destructive method allowed the same sample to be measured before and after cooking. Heat denaturation resulted in a 36% decrease in the volume of the muscle fibers, while solubilization of the connective tissues increased the volume from 8.4%to 24.9%. The cooking loss was quantified and separated into a water phase and a gel phase formed by the sarcoplasmic proteins in the exudate. The results show that X-ray phase contrast tomography offers unique possibilities in studies both the meat structure and the different meat component such as water, fat, connective tissue and myofibrils in a qualitative and quantitative manner without prior sample preparation as isolation of single muscle components, calibration or histology.

[1]  Jean-Marie Bonny,et al.  Dynamic MRI and thermal simulation to interpret deformation and water transfer in meat during heating. , 2011, Journal of agricultural and food chemistry.

[2]  J. R. Bendall,et al.  The cooking of single myofibres, small myofibre bundles and muscle strips from beef M. psoas and M. sternomandibularis muscles at varying heating rates and temperatures. , 1983, Meat science.

[3]  S. Li Ch. 13. Modeling image analysis problems using markov random fields , 2003 .

[4]  F. Pfeiffer,et al.  Advanced phase-contrast imaging using a grating interferometer. , 2009, Journal of synchrotron radiation.

[5]  M. Aaslyng,et al.  Protein denaturation and water-protein interactions as affected by low temperature long time treatment of porcine longissimus dorsi. , 2011, Meat science.

[6]  I. Repa,et al.  Application of X-ray Computer Tomography (CT) in Cattle Production , 2007 .

[7]  Assessment of intramuscular fat level and distribution in beef muscles using X-ray microcomputed tomography. , 2010, Meat science.

[8]  M. F. Furnols,et al.  Estimation of lean meat content in pig carcasses using X-ray Computed Tomography and PLS regression , 2009 .

[9]  Franz Pfeiffer,et al.  X-ray phase imaging with a grating interferometer. , 2005, Optics express.

[10]  Feasibility of X-ray microcomputed tomography for microstructure analysis and its relationship with hardness in non-acid lean fermented sausages. , 2013, Meat science.

[11]  Franz Pfeiffer,et al.  Advanced contrast modalities for X-ray radiology: Phase-contrast and dark-field imaging using a grating interferometer. , 2010, Zeitschrift fur medizinische Physik.

[12]  M. A. Nobile,et al.  X-ray computed tomography to study processed meat microstructure. , 2009 .

[13]  Timm Weitkamp,et al.  Tomography with grating interferometers at low-brilliance sources , 2006, SPIE Optics + Photonics.

[14]  O. Bunk,et al.  Hard x-ray phase tomography with low-brilliance sources. , 2007, Physical review letters.

[15]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[16]  Vicente Grau,et al.  Segmentation of trabeculated structures using an anisotropic Markov random field: application to the study of the optic nerve head in glaucoma , 2006, IEEE Transactions on Medical Imaging.

[17]  E. Tornberg,et al.  Effects of heat on meat proteins - Implications on structure and quality of meat products. , 2005, Meat science.

[18]  K. V. Gilbert,et al.  Temperature‐dependent cooking toughness in beef , 1974 .

[19]  Franz Pfeiffer,et al.  X-ray phase-contrast tomography of porcine fat and rind. , 2011, Meat science.

[20]  E. Puolanne,et al.  Theoretical aspects of water-holding in meat. , 2010, Meat science.