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Related Concept Videos

Raman Spectroscopy: Overview01:20

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The underlying principle of Raman spectroscopy is based on the interaction between light and matter, specifically molecules' inelastic scattering of photons. When a monochromatic beam of light, typically from a laser source, interacts with a sample, most scattered light has the same frequency as the incident light. This is known as Rayleigh scattering.
However, a small fraction of the scattered light exhibits a frequency shift due to the exchange of energy between the incident photons and...
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Raman Spectroscopy Instrumentation: Overview01:26

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A conventional Raman spectrophotometer includes a laser source, a sample holding system, a wavelength selector, and a detector.
The monochromatic laser source, typically using visible or near-infrared radiation, generates a highly focused beam of light. This light interacts with the molecules of the sample, scattering some of the light. Liquid and gaseous samples are usually tested in ordinary glass capillaries, while solids can be analyzed as powders packed in capillaries or as potassium...
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Related Experiment Video

Updated: May 6, 2026

Metabolomic Analysis of Rat Brain by High Resolution Nuclear Magnetic Resonance Spectroscopy of Tissue Extracts
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Profiling differences in chemical composition of brain structures using Raman spectroscopy.

Marko Daković1, Aleksandra S Stojiljković, Danica Bajuk-Bogdanović

  • 1Faculty of Physical Chemistry, Studentski trg 12-16, University of Belgrade, Belgrade, Serbia.

Talanta
|November 12, 2013
PubMed
Summary

Raman spectroscopy can detect chemical differences in brain tissues. Independent component analysis helps reveal subtle variations in proteins, lipids, and metabolites between gray and white matter structures.

Keywords:
Brain tissueChemical compositionIndependent component analysisRaman spectroscopy

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Area of Science:

  • Neuroscience
  • Biochemistry
  • Spectroscopy

Background:

  • Raman spectroscopy offers non-invasive analysis of biological tissue chemical composition.
  • Distinguishing chemical compositions of structurally and functionally related brain tissues is challenging due to similar molecular makeup.

Purpose of the Study:

  • To assess chemical composition differences between gray and white matter brain structures using Raman spectroscopy.
  • To demonstrate the utility of standard and independent component analysis (ICA) for analyzing Raman spectra of brain tissues.

Main Methods:

  • Acquisition and analysis of Raman spectra from gray and white matter brain structures.
  • Application of standard analysis and independent component analysis (ICA) to spectral data.
  • Correlation of spectral features with chemical constituents like proteins and lipids.

Main Results:

  • Raman spectroscopy successfully differentiated chemical compositions between gray and white matter structures.
  • ICA effectively separated contributions of major chemical constituents and identified low-concentration metabolites.
  • Minute chemical discrepancies were found within striatum and between different white matter structures.

Conclusions:

  • Raman spectroscopy provides valuable information on variations in major chemical constituents within brain structures.
  • Independent component analysis enhances the capability of Raman spectroscopy to detect subtle chemical differences in closely related brain regions.