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Updated: Mar 11, 2026

Isolating Myofibrils from Skeletal Muscle Biopsies and Determining Contractile Function with a Nano-Newton Resolution Force Transducer
Published on: May 7, 2020
Analyzing pH-induced changes in a myofibril model system with vibrational and fluorescence spectroscopy
Petter Vejle Andersen1, Eva Veiseth-Kent1, Jens Petter Wold1
1Nofima AS, Osloveien 1, 1430 Ås, Norway.
Spectroscopic techniques reveal pH-related changes in pork myofibrils. Raman and FT-IR identified key protein modifications, while fluorescence highlighted tryptophan interactions, aiding meat quality analysis.
Area of Science:
- Food Science
- Biophysics
- Analytical Chemistry
Background:
- Postmortem pH decline significantly impacts meat quality attributes, including water-holding capacity.
- Understanding pH-related biochemical changes in meat is crucial for predicting and controlling quality.
Purpose of the Study:
- To investigate protein and amino acid modifications in pork myofibrils across different pH levels.
- To evaluate the efficacy of Raman, FT-IR, NIR, and fluorescence spectroscopy in detecting pH-induced changes.
Main Methods:
- Pork myofibril extracts were analyzed at three distinct pH levels (5.3, 5.8, and 6.3).
- Four spectroscopic techniques (Raman, FT-IR, NIR, fluorescence) were employed.
- Spectra were analyzed to identify changes in protein secondary structure and amino acid side chains.
Main Results:
- Raman and FT-IR spectroscopy identified protonation of aspartic/glutamic acid and alterations in amide I-III bands as key pH indicators.
- Fluorescence spectroscopy indicated changes related to tryptophan's molecular environment.
- Near-infrared (NIR) spectroscopy provided limited insights into pH-dependent protein structural changes.
Conclusions:
- Raman, FT-IR, and fluorescence spectroscopy are valuable tools for assessing pH-related protein modifications in meat.
- These findings enhance the interpretation of spectroscopic data for meat quality assessment.
- Spectroscopic methods offer a pathway to non-destructively monitor meat quality parameters influenced by pH.
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