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

294
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...
294
Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

277
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...
277
Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview01:13

Attenuated Total Reflectance (ATR) Infrared Spectroscopy: Overview

264
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...
264
Peptide Identification Using Tandem Mass Spectrometry01:33

Peptide Identification Using Tandem Mass Spectrometry

6.4K
Tandem mass spectrometry, also known as MS/MS or MS2, is an analytical technique that employs two mass analyzers. Essentially it is a series of mass spectrometers that helps isolate a particular biomolecule and then helps study its chemical properties.
This technique helps gather information regarding the protein from which the peptide was obtained and to study the peptides’ amino acid sequence. Identifying peptides from a complex mixture is an important component of the growing field of...
6.4K
MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

4.7K
Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.
Matrix-assisted laser desorption ionization (MALDI) is a commonly...
4.7K
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

702
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...
702

You might also read

Related Articles

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

Sort by
Same author

Preexisting human antibodies neutralize recently emerged H7N9 influenza strains.

The Journal of clinical investigation·2015
Same author

Inhibitory effects of B-cell lymphoma 2 on the vasculogenic mimicry of hypoxic human glioma cells.

Experimental and therapeutic medicine·2015
Same author

Simultaneous determination of seven taxoids in rat plasma by UPLC-MS/MS and pharmacokinetic study after oral administration of Taxus yunnanensis extracts.

Journal of pharmaceutical and biomedical analysis·2015
Same author

Core muscle strength and endurance measures in ambulatory persons with multiple sclerosis: validity and reliability.

International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation·2015
Same author

The kinase MST4 limits inflammatory responses through direct phosphorylation of the adaptor TRAF6.

Nature immunology·2015
Same author

Obesity and risk of thyroid cancer: evidence from a meta-analysis of 21 observational studies.

Medical science monitor : international medical journal of experimental and clinical research·2015

Related Experiment Video

Updated: May 24, 2025

Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy
09:57

Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy

Published on: July 25, 2022

3.8K

COS-DeformDeep: Adaptive 2T2D spectral feature extraction method for improving the component identification

Xin Zhao1, Ziyan Zhao1, Qibing Zhu1

  • 1Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), School of Internet of Things Engineering, Jiangnan University, Wuxi, 214122, China.

Analytica Chimica Acta
|February 28, 2025
PubMed
Summary
This summary is machine-generated.

A new method, COS-DeformDeep, improves handheld Raman spectroscopy for analyzing mixture components. This technique enhances weak spectral signals, boosting accuracy in identifying substances, even at low concentrations.

Keywords:
2T2D correlation spectraDeformable convolutionMixture component identificationRaman spectral

More Related Videos

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

13.1K
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

9.4K

Related Experiment Videos

Last Updated: May 24, 2025

Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy
09:57

Multiplex Chemical Imaging Based on Broadband Stimulated Raman Scattering Microscopy

Published on: July 25, 2022

3.8K
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

13.1K
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

9.4K

Area of Science:

  • Analytical Chemistry
  • Spectroscopy

Background:

  • Raman spectroscopy is vital for analyzing mixture components.
  • Handheld Raman spectrometers offer portability and rapid on-site data acquisition.
  • Quantifying components in complex mixtures using Raman spectroscopy remains challenging.

Purpose of the Study:

  • To introduce COS-DeformDeep, a novel method for enhancing spectral features in handheld Raman mixture analysis.
  • To improve the identification and quantification of individual components within complex mixtures.

Main Methods:

  • Utilized synchronous two-trace two-dimensional correlation spectroscopy (2T2D-COS) to enhance weak signals in overlapped peaks.
  • Employed deformable convolutions (DCNs) to improve deep learning model adaptability for spectral feature extraction.
  • Validated the COS-DeformDeep model on three mixture datasets containing Ethanol, Diacetone alcohol, and Histidine.

Main Results:

  • The COS-DeformDeep model demonstrated superior performance in mixture component identification.
  • Achieved an average accuracy of 94.97%, precision of 98.45%, recall of 92.44%, and F1 score of 95.06%.
  • Effectively identified components with volume-weight ratios as low as 2%.

Conclusions:

  • COS-DeformDeep efficiently extracts features from weak spectral signals, enhancing recognition accuracy for low-concentration components.
  • The method simplifies spectral analysis and is suitable for handheld devices, increasing accessibility.
  • Significantly improves the capability of handheld Raman spectroscopy for complex mixture analysis.