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

1.3K
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...
1.3K
Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

965
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...
965
IR Frequency Region: Fingerprint Region01:03

IR Frequency Region: Fingerprint Region

1.8K
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...
1.8K
Chromatographic Methods: Classification01:12

Chromatographic Methods: Classification

3.6K
Chromatographic techniques are classified in three ways: the classification is based on the physical state of the stationary and mobile phases, how the mobile phase and the stationary phase contact each other, or through the chemical or physical processes that isolate the components of the sample. Typically, the mobile phase is either a liquid or gas, while the stationary phase is either a solid or a liquid layer applied to a solid surface.
Chromatographic techniques are typically named by...
3.6K
Classification of Titrimetric Analysis Based on Reaction Types01:01

Classification of Titrimetric Analysis Based on Reaction Types

1.5K
Titrimetric analysis in solution chemistry involves measuring the volume of solutions and is often called volumetric analysis. The standard solution of known concentration in the burette is called the titrant, whereas the solution of unknown concentration in the flask is called the analyte, or titrand. Titrimetric analyses can be classified into four types based on the reactions between the titrant and analyte.
Titrations between an acid and a base lead to neutralization reactions that form...
1.5K

You might also read

Related Articles

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

Sort by
Same author

-Stacked Machine Learning for Timber Identification Using LaserInduced Breakdown Spectroscopy.

Applied spectroscopy·2026
Same author

Artificial Neural Networks for Discrimination of Automotive Clear Coats by Vehicle Manufacturer.

Sensors (Basel, Switzerland)·2026
Same author

Determination of Provenance Soil Type Using Inductively Coupled Plasma Mass Spectrometry (ICP-MS) Analyses of <i>Pinus ponderosa</i> Ash.

Applied spectroscopy·2025
Same author

Thermodynamic and Kinetic Characterization of Colloidal Polymers of <i>N</i>-Isopropylacrylamide and Alkyl Acrylic Acids for Optical pH Sensing.

Molecules (Basel, Switzerland)·2025
Same author

Exploring the Correlation between LC-MS Multi-Attribute Method and Conventional Chromatographic Product Quality Assays through Multivariate Data Analysis.

The AAPS journal·2024
Same author

Alternating and Modified Alternating Least Squares Applied to Raman Spectra of Finished Gasolines.

Applied spectroscopy·2024
Same journal

EXPRESS: Two-Trace Two-Dimensional (2T2D-COS) in the Analysis of Brain Tissue Sample Preparation Method.

Applied spectroscopy·2026
Same journal

EXPRESS: Simplified Protocol for Analyzing Polarization Properties of Scanning Tunneling Microscope (STM) Light Emission Spectra at an Oblique Angle.

Applied spectroscopy·2026
Same journal

EXPRESS: Monitoring a Polyurethane Synthesis by Fiber-Coupled Attenuated Total Reflection Fourier Transform Infrared Spectroscopy and Multivariate Curve Resolution-Alternating Least Squares.

Applied spectroscopy·2026
Same journal

EXPRESS: Current Status and Trends of Two-Dimensional Correlation Spectroscopy (2D-COS).

Applied spectroscopy·2026
Same journal

EXPRESS: Two-Dimensional Correlation Spectroscopy (2D-COS) Analysis of Near-Infrared (NIR) Spectra of Hydrogen-Bonded Elastomer Under Mechanical Stress.

Applied spectroscopy·2026
Same journal

EXPRESS: Extended Multiplicative Signal Correction-Assisted ResNet1D for Laser-Induced Breakdown Spectroscopy (LIBS) Quantification of Neodymium, Gadolinium, and Samarium in Rough-Surface Uranium Polymetallic Ores.

Applied spectroscopy·2026
See all related articles

Related Experiment Video

Updated: Jan 4, 2026

Author Spotlight: Employing Green-Chemistry Principles for Safe and Sustainable Synthesis of Biodiesels
04:40

Author Spotlight: Employing Green-Chemistry Principles for Safe and Sustainable Synthesis of Biodiesels

Published on: April 19, 2024

1.5K

Differentiation of Edible Oils by Type Using Raman Spectroscopy and Pattern Recognition Methods.

Francis Kwofie1, Barry K Lavine1, Joshua Ottaway2

  • 1Department of Chemistry, Oklahoma State University, Stillwater, OK, USA.

Applied Spectroscopy
|November 8, 2019
PubMed
Summary
This summary is machine-generated.

Raman spectroscopy effectively differentiates edible oils by type, grouping them based on fatty acid profiles. This method aids in classifying oils with similar spectral characteristics.

Keywords:
Raman spectroscopybaseline correctionclassification of edible oilsgenetic algorithmspattern recognitionvariable selection

More Related Videos

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
10:14

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Published on: September 2, 2020

5.4K
Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach
09:32

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach

Published on: September 26, 2019

7.6K

Related Experiment Videos

Last Updated: Jan 4, 2026

Author Spotlight: Employing Green-Chemistry Principles for Safe and Sustainable Synthesis of Biodiesels
04:40

Author Spotlight: Employing Green-Chemistry Principles for Safe and Sustainable Synthesis of Biodiesels

Published on: April 19, 2024

1.5K
Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography
10:14

Chromatographic Fingerprinting by Template Matching for Data Collected by Comprehensive Two-Dimensional Gas Chromatography

Published on: September 2, 2020

5.4K
Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach
09:32

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach

Published on: September 26, 2019

7.6K

Area of Science:

  • Analytical Chemistry
  • Food Science
  • Spectroscopy

Background:

  • Edible oil authentication is crucial for food safety and quality control.
  • Distinguishing between various edible oil types can be challenging due to similar chemical compositions.

Purpose of the Study:

  • To investigate the efficacy of Raman spectroscopy combined with pattern recognition for edible oil classification.
  • To explore the potential of spectral data in differentiating 15 varieties of edible oils.

Main Methods:

  • Collected 286 Raman spectra from 53 edible oil samples across 15 varieties.
  • Applied baseline correction using a Whittaker filter to remove fluorescence.
  • Utilized pattern recognition techniques: mapping, discriminant development, and clustering.

Main Results:

  • Successfully partitioned the 15 edible oil varieties into five distinct groups.
  • Grouping was based on the degree of saturation and polyunsaturated to monounsaturated fatty acid ratios.
  • Oils within the same group exhibited similar Raman spectra, posing classification challenges.

Conclusions:

  • Raman spectroscopy and pattern recognition offer a viable method for edible oil discrimination.
  • The approach effectively categorizes oils based on key fatty acid indicators.
  • Further refinement may be needed for high-resolution classification within closely related oil groups.