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Updated: Nov 20, 2025

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X-ray Diffraction of Intact Murine Skeletal Muscle as a Tool for Studying the Structural Basis of Muscle Disease
Published on: July 18, 2019
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Raman and Fluorescence Profiles Modifications of Muscular and Adipose Tissues Exposed to Low Energy X-ray Beams
Noemy R Santos1, Roseli Künzel1, Marcelo B Freitas2
1Departamento de Fisica, Universidade Federal de Sao Paulo-28105UNIFESP, Sao Paulo, Brazil.
Applied Spectroscopy
|January 19, 2021
Summary
Low-energy radiation alters adipose and muscle tissues, detectable by Raman and fluorescence spectroscopy. These techniques can identify radiation effects on biomolecules at low doses.
Area of Science:
- Biophysics
- Spectroscopy
- Radiation Biology
Background:
- Low-energy radiation can induce biological changes.
- Autofluorescence and Raman spectroscopy are sensitive molecular analysis techniques.
- Understanding radiation effects on tissues is crucial for safety and medical applications.
Purpose of the Study:
- To investigate the effects of low-energy X-ray radiation on adipose and muscular tissues.
- To evaluate the utility of autofluorescence and Raman spectroscopy in detecting these radiation-induced changes.
- To assess biomolecular alterations at low radiation doses and energies.
Main Methods:
- Exposure of adipose and muscular tissue samples to X-ray beams at 25 and 35 kV.
- Application of radiation doses at 0.11, 1.1, and 2.1 Gy.
- Analysis using autofluorescence and Raman spectroscopy to detect molecular changes.
Main Results:
- Observed changes in Raman spectral bands associated with collagen, proteins, and lipids.
- Detected variations in autofluorescence emissions from collagen and nicotinamide adenine dinucleotide (NADH).
- Spectroscopic shifts indicated structural modifications and altered redox equilibrium of fluorophores.
Conclusions:
- Raman and fluorescence spectroscopy are effective tools for assessing low-energy radiation effects on biomolecules.
- These techniques can detect subtle changes in tissue composition and structure.
- The study demonstrates the sensitivity of spectroscopic methods for radiation biodosimetry.
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