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Related Concept Videos

Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

291
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...
291
Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

270
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...
270

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Related Experiment Video

Updated: May 21, 2025

Real-time Breath Analysis by Using Secondary Nanoelectrospray Ionization Coupled to High Resolution Mass Spectrometry
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Harnessing Surface-Enhanced Raman Spectroscopy for Breath-Based Diagnostics.

Ivan A Lujan-Cabrera1, Eden Morales-Narváez1

  • 1Biophotonic Nanosensors Laboratory, Centro de Física Aplicada y Tecnología Avanzada (CFATA), Universidad Nacional Autónoma de México (UNAM), Querétaro 76230, Mexico.

Analytical Chemistry
|May 9, 2025
PubMed
Summary

Human breath analysis uses biomarkers for noninvasive diagnostics. Surface-enhanced Raman spectroscopy offers a powerful platform for next-generation sensors in personalized and preventive medicine.

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Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry
  • Medical Diagnostics

Background:

  • Human breath contains numerous volatile organic compounds (VOCs) and other analytes.
  • These breath analytes can serve as noninvasive biomarkers for various health conditions.
  • Current diagnostic methods often require invasive procedures.

Purpose of the Study:

  • To explore the potential of breath analysis for next-generation diagnostics.
  • To highlight surface-enhanced Raman spectroscopy (SERS) as a key technology for breath analysis.
  • To position breath analysis as a tool for personalized healthcare and preventive medicine.

Main Methods:

  • Utilizing surface-enhanced Raman spectroscopy (SERS) for breath analysis.
  • Identifying specific molecular fingerprints within human breath.
  • Developing sensitive and selective sensor platforms based on SERS.

Main Results:

  • Demonstrated the capability of SERS to detect and identify diverse analytes in human breath.
  • Established SERS as a method for obtaining molecular fingerprints noninvasively.
  • Showcased the potential for SERS-based sensors in healthcare applications.

Conclusions:

  • Breath analysis is a promising noninvasive diagnostic approach.
  • SERS provides a powerful platform for developing advanced breath sensors.
  • This technology supports the advancement of personalized and preventive medicine.