Novel method for determination of myofibril fragmentation post-mortem

R Lametsch1, J C Knudsen, P Ertbjerg

  • 1Department of Food Science, Royal Veterinary and Agricultural University, Rolighedsvej 30, DK-1958 Frederiksberg C, Denmark.

Meat Science
|November 9, 2011
PubMed

Insights

Multi-angle light scattering offers a faster, simpler method for assessing pig meat quality by measuring myofibril fragmentation. This technique correlates well with Warner-Bratzler shear force, aiding in meat tenderness prediction.

Area of Science:

  • Meat Science
  • Biophysical Measurement Techniques
  • Food Quality Assessment

Background:

  • Myofibril fragmentation impacts meat texture and quality.
  • Traditional methods for assessing fragmentation can be time-consuming.
  • Objective, rapid methods are needed for meat quality evaluation.

Purpose of the Study:

  • To evaluate multi-angle light scattering (MALS) for determining myofibril fragmentation in pig longissimus dorsi muscle.
  • To compare the MALS method with the conventional turbidity method.
  • To assess the correlation between MALS-derived particle size distribution and Warner-Bratzler shear force (WBSF).

Main Methods:

  • Utilized multi-angle light scattering to measure myofibril particle size distribution in pig muscle homogenates.
  • Compared MALS results with those obtained from the turbidity method.
  • Employed multivariate data analysis to develop a predictive model for WBSF.

Main Results:

  • MALS determined post-mortem changes in pig muscle homogenates without myofibril purification.
  • The MALS method proved significantly simpler and faster than the traditional turbidity method.
  • A significant correlation (p<0.01) was observed between WBSF and particle size distribution.
  • The predictive model for WBSF achieved a root mean square error of 6.1N (10-15% of measured WBSF).

Conclusions:

  • Multi-angle light scattering is a rapid and simple technique for estimating myofibril fragmentation.
  • MALS provides a valuable tool for objective meat quality assessment, particularly for predicting tenderness.
  • This method simplifies sample preparation and analysis compared to existing techniques.

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