Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

301
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...
301
Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

295
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...
295
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

739
IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...
739
Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

282
Attenuated total reflectance (ATR) infrared spectroscopy is a powerful analytical technique used to study the composition of materials. It is widely employed in chemistry, materials science, forensic science, and other fields where sample characterization is required. ATR has several advantages over traditional transmission IR spectroscopy, including the requirement of little to no sample preparation and the ability to analyze a wide range of samples.
The ATR process begins by directing a beam...
282

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Bacterial detection with electrochemical, SERS, and electrochemical SERS sensors.

The Analyst·2025
Same author

Scalable Production and Multifunctional Coating of Gold Nanostars for Catalytic Applications.

Nanomaterials (Basel, Switzerland)·2025
Same author

Nanoparticle Uptake in the Aging and Oncogenic <i>Drosophila</i> Midgut Measured with Surface-Enhanced Raman Spectroscopy.

Cells·2024
Same author

Synthesis, Structural Analysis, and Peroxidase-Mimicking Activity of AuPt Branched Nanoparticles.

Nanomaterials (Basel, Switzerland)·2024
Same author

Handheld methanol detector for beverage analysis: interlaboratory validation.

Analytical methods : advancing methods and applications·2024
Same author

Tailoring Mesoporous Silica-Coated Silver Nanoparticles and Polyurethane-Doped Films for Enhanced Antimicrobial Applications.

Nanomaterials (Basel, Switzerland)·2024

Related Experiment Video

Updated: Jun 1, 2025

Real-time Breath Analysis by Using Secondary Nanoelectrospray Ionization Coupled to High Resolution Mass Spectrometry
08:23

Real-time Breath Analysis by Using Secondary Nanoelectrospray Ionization Coupled to High Resolution Mass Spectrometry

Published on: March 9, 2018

8.9K

Breath Analysis via Surface Enhanced Raman Spectroscopy.

Adrián Fernández-Lodeiro1, Marios Constantinou1, Christoforos Panteli1

  • 1Department of Electrical and Computer Engineering, University of Cyprus, Nicosia 2112 Cyprus.

ACS Sensors
|January 17, 2025
PubMed
Summary

Surface-enhanced Raman spectroscopy (SERS) offers a noninvasive method for breath analysis, detecting volatile biomarkers for diseases like cancer and diabetes. This review highlights SERS advancements for high-throughput diagnostics.

Keywords:
BreathMachine LearningMicrofluidicsNanomaterialsPreconcentratorsSensorsSurface-Enhanced Raman Spectroscopy (SERS)Volatile Organic Compounds (VOCs)

More Related Videos

Observation and Analysis of Blinking Surface-enhanced Raman Scattering
05:52

Observation and Analysis of Blinking Surface-enhanced Raman Scattering

Published on: January 11, 2018

7.4K
Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates
11:44

Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates

Published on: March 20, 2015

20.2K

Related Experiment Videos

Last Updated: Jun 1, 2025

Real-time Breath Analysis by Using Secondary Nanoelectrospray Ionization Coupled to High Resolution Mass Spectrometry
08:23

Real-time Breath Analysis by Using Secondary Nanoelectrospray Ionization Coupled to High Resolution Mass Spectrometry

Published on: March 9, 2018

8.9K
Observation and Analysis of Blinking Surface-enhanced Raman Scattering
05:52

Observation and Analysis of Blinking Surface-enhanced Raman Scattering

Published on: January 11, 2018

7.4K
Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates
11:44

Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates

Published on: March 20, 2015

20.2K

Area of Science:

  • Analytical Chemistry
  • Biomedical Engineering
  • Spectroscopy

Background:

  • Breath analysis is a noninvasive diagnostic technique utilizing exhaled volatile biomarkers.
  • Traditional methods lack high-throughput capabilities for point-of-need diagnostics.
  • Surface-enhanced Raman spectroscopy (SERS) is emerging as a powerful tool for breath analysis.

Purpose of the Study:

  • To review recent advancements in SERS-based breath analysis.
  • To focus on sensors for detecting gases and volatile organic compounds (VOCs) in exhaled breath.
  • To highlight strategies for sample preconcentration and spectral analysis.

Main Methods:

  • Review of current literature on SERS applications in breath diagnostics.
  • Focus on optical spectroscopic techniques for volatile analyte detection.
  • Discussion of sensor development and analytical methodologies.

Main Results:

  • SERS has shown promise for identifying diseases such as lung cancer, gastric cancer, and diabetes.
  • The technique allows for fast and accurate detection of small analytes in exhaled breath.
  • Various diagnostic strategies and preconcentration methods have been developed.

Conclusions:

  • SERS is a versatile and promising technology for noninvasive breath diagnostics.
  • Further research into SERS for breath analysis can lead to improved disease detection.
  • Advancements in SERS sensors and analysis methods are crucial for clinical translation.