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 Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

475
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...
475
Raman Spectroscopy: Overview01:20

Raman Spectroscopy: Overview

481
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...
481

You might also read

Related Articles

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

Sort by
Same author

Aerosol therapy during noninvasive ventilation (NIV) and nasal high-flow therapy (HFT): current technology and consensus-based recommendations.

Pneumologie (Stuttgart, Germany)·2026
Same author

Fluorinated Tryptophan Derivatives for Photo-CIDNP NMR.

The journal of physical chemistry. B·2026
Same author

Cardiac Biomarkers to Refine Pretest Probability for Coronary Obstruction and Predict Survival After Revascularization in Chronic Coronary Syndrome.

Journal of the American Heart Association·2026
Same author

Reverse Fosmidomycin Analogs as Bisubstrate Inhibitors: Binding Mode Elucidation and Mechanistic Insights.

Journal of medicinal chemistry·2026
Same author

Zwitterionic [Gd-(DOTA)] MRI Probes: Influence of Sulfobetaine Linker Length on Relaxivity.

ACS omega·2026
Same author

Zwitterionic Mn(III)-Tetraphenyl Porphyrins: Water-Soluble MRI Contrast Agents with High Relaxivity.

ChemMedChem·2026

Related Experiment Video

Updated: Jul 30, 2025

Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy
15:04

Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy

Published on: May 18, 2011

13.2K

Detecting Pre-Analytically Delayed Blood Samples for Laboratory Diagnostics Using Raman Spectroscopy.

Pascal Hunold1,2, Markus Fischer2, Carsten Olthoff1,2

  • 1Institute of Laboratory Medicine, Clinical Chemistry and Molecular Diagnostics, University Hospital Leipzig, 04103 Leipzig, Germany.

International Journal of Molecular Sciences
|May 13, 2023
PubMed
Summary
This summary is machine-generated.

Raman spectroscopy can detect pre-analytical delays in blood serum samples. This method accurately identifies delayed samples, aiding in reliable diagnostic testing.

Keywords:
Raman spectroscopylaboratory medicine diagnosticspreclinical delaysquality assurancesample age

More Related Videos

Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy
13:48

Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy

Published on: May 29, 2012

17.1K
An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects
07:37

An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects

Published on: January 9, 2020

9.5K

Related Experiment Videos

Last Updated: Jul 30, 2025

Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy
15:04

Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy

Published on: May 18, 2011

13.2K
Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy
13:48

Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy

Published on: May 29, 2012

17.1K
An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects
07:37

An Integrated Raman Spectroscopy and Mass Spectrometry Platform to Study Single-Cell Drug Uptake, Metabolism, and Effects

Published on: January 9, 2020

9.5K

Area of Science:

  • Biomedical Spectroscopy
  • Analytical Chemistry
  • Clinical Diagnostics

Background:

  • Pre-analytical delays can significantly impact blood serum sample integrity and analysis.
  • Accurate detection of sample handling variations is crucial for reliable diagnostic results.
  • Raman spectroscopy offers a non-destructive method for molecular fingerprinting of biological samples.

Purpose of the Study:

  • To investigate the efficacy of Raman spectroscopy in identifying pre-analytical delays in blood serum samples.
  • To develop a predictive model for sample delay detection using spectral data.
  • To assess the influence of storage conditions and time on serum spectral characteristics.

Main Methods:

  • Acquisition of Raman spectra from 330 liver cirrhosis patient serum samples over eight days.
  • Samples were stored at room temperature for one day, then at 4 °C.
  • Convolutional Neural Networks (CNN) were trained to classify samples based on spectral data and predict examination delays.
  • Analysis of spectral differences between samples with and without pre-analytical delays.

Main Results:

  • Achieved 90% accuracy in binary classification of "without delay" versus "delayed" serum samples.
  • Raman spectra from the first day of measurement were clearly distinguishable from subsequent days.
  • Distinguishing between samples from the second to the last day yielded approximately 70% accuracy.
  • Filtering fluorescent background reduced detection precision.

Conclusions:

  • Raman spectroscopy is a promising tool for detecting pre-analytical delays in blood serum samples.
  • CNN models can effectively predict sample examination delays using spectral data.
  • The integrity of spectral data is sensitive to storage conditions and time, highlighting the importance of prompt analysis.
  • Further research is needed to optimize detection accuracy for longer delay periods.