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Biomarkers: Non-destructive Method for Predicting Meat Tenderization.
Arashdeep Singh1, Preeti Ahluwalia, Aasima Rafiq
1a Department of Food Science and Technology , Punjab Agricultural University , Ludhiana , 141004.
Identifying meat tenderness is crucial for consumers. This review highlights how biomarkers, linked to metabolic pathways, offer a non-destructive method for predicting meat tenderness, improving quality assessment.
Area of Science:
- Food Science
- Biochemistry
- Animal Science
Background:
- Meat tenderness is a key consumer quality attribute.
- Traditional methods (taste panels, shear force) are destructive and time-consuming.
- Non-destructive methods for predicting meat tenderness are highly desirable.
Purpose of the Study:
- To review the use of biomarkers for predicting meat tenderness.
- To explore the link between biomarkers and meat tenderization pathways.
- To support the development of non-destructive meat quality assessment systems.
Main Methods:
- Review of existing literature on meat quality biomarkers.
- Analysis of biomarkers associated with biological pathways (glycolytic, oxidative, detoxification, protease inhibition, Heat Shock Proteins).
- Grouping and sorting identified biomarkers based on biological functions.
Main Results:
- Biomarkers can be identified and linked to specific biological functions and pathways.
- Metabolic pathways provide insights into the mechanisms of meat tenderization.
- Several biomarkers have been identified for predicting meat tenderness.
Conclusions:
- Biomarkers offer a promising non-destructive approach to assess meat tenderness.
- Muscle profiling using biomarkers can enhance meat quality grading systems.
- Further research into biomarkers will improve consumer satisfaction and the meat industry.
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