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Updated: May 27, 2026

Immunolabelling Myofiber Degeneration in Muscle Biopsies
Published on: December 5, 2019
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.
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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