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Related Concept Videos

Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

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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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Overview of Exosomes01:36

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Exosomes are stable, lipid bilayer-enclosed vesicles capable of crossing biological barriers. They can carry a wide range of molecules required for intercellular communication. Once exosomes are released from the cell where they originated, they enter a recipient cell through various pathways such as fusion, receptor-mediated endocytosis, macropinocytosis, and phagocytosis.
Stahl et al. discovered exosomes in 1983, but the exosomes were initially considered waste products released from the...
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Related Experiment Video

Updated: Jun 6, 2025

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets
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Raman spectroscopy in extracellular vesicles analysis: Techniques, applications and advancements.

Ya-Juan Liu1, Michelle Kyne2, Chao Kang3

  • 1Key Laboratory of Molecular Target & Clinical Pharmacology, and the NMPA & State Key Laboratory of Respiratory Disease, School of Pharmaceutical Sciences & the Fifth Affiliated Hospital, Guangzhou Medical University, Guangzhou, 511436, China.

Biosensors & Bioelectronics
|November 27, 2024
PubMed
Summary

Raman spectroscopy offers advanced methods for analyzing extracellular vesicles (EVs). This review details techniques like SERS and RTA for sensitive EV profiling, aiding diagnostic and therapeutic applications.

Keywords:
Extracellular vesicleMachine learningMicrofluidicsRaman spectroscopyRaman trapping analysisSurface-enhanced Raman spectroscopy

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Area of Science:

  • Biophysical techniques
  • Nanotechnology
  • Molecular diagnostics

Background:

  • Extracellular vesicles (EVs) are crucial biomarkers for disease.
  • Accurate EV characterization is essential for clinical applications.
  • Raman spectroscopy offers label-free molecular insights into EVs.

Purpose of the Study:

  • To review and compare various Raman spectroscopy techniques for EV characterization.
  • To provide a holistic assessment of Raman-based EV analysis strategies.
  • To highlight the potential of Raman spectroscopy in EV diagnostics and therapeutics.

Main Methods:

  • Raman Spectroscopy (RS)
  • Raman Trapping Analysis (RTA)
  • Surface-Enhanced Raman Spectroscopy (SERS)
  • Microfluidic SERS
  • Machine learning integration
  • EV isolation and characterization strategies

Main Results:

  • Raman techniques offer enhanced sensitivity and accuracy for EV profiling.
  • SERS and microfluidic SERS enable high-throughput, label-free analysis.
  • Integration with machine learning improves data analysis and interpretation.
  • Raman spectroscopy facilitates comprehensive EV analysis including purity, heterogeneity, and size.

Conclusions:

  • Raman spectroscopy is a powerful tool for detailed EV molecular profiling.
  • Advanced Raman techniques combined with computational methods enhance EV analysis.
  • This integrated approach supports the development of robust EV-based diagnostics and therapeutics.