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

2.2K
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...
2.2K
Raman Spectroscopy Instrumentation: Overview01:26

Raman Spectroscopy Instrumentation: Overview

1.6K
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...
1.6K
IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration01:16

IR Spectroscopy: Hooke's Law Approximation of Molecular Vibration

3.5K
A covalently bonded heteronuclear diatomic molecule can be modeled as two vibrating masses connected by a spring. The vibrational frequency of the bond can be expressed using an equation derived from Hooke's law, which describes how the force applied to stretch or compress a spring is proportional to the displacement of the spring. In this case, the atoms behave like masses, and the bond acts like a spring.
According to Hooke's law, the vibrational frequency is directly proportional to...
3.5K
UV–Vis Spectroscopy: Woodward–Fieser Rules01:29

UV–Vis Spectroscopy: Woodward–Fieser Rules

29.3K
UV–Visible absorption spectra of conjugated dienes arise from the lowest energy π → π* transitions. The light-absorbing part of the molecule is called the chromophore, and the substituents directly attached to the chromophore are called auxochromes. A strong correlation exists between the absorption maxima, λmax, and the structure of a conjugated π system. The Woodward–Fieser rules predict the value of λmax for a given structure by adding the...
29.3K
IR and UV–Vis Spectroscopy of Aldehydes and Ketones01:29

IR and UV–Vis Spectroscopy of Aldehydes and Ketones

7.8K
Infrared spectroscopy, also known as vibrational spectroscopy, is mainly used to determine the types of bonds and functional groups in molecules. In aldehydes and ketones, the carbonyl (C=O) bond shows an absorption around 1710 cm-1. The C=O bond vibration of an aldehyde occurs at lower frequencies than that of a ketone. In addition to the C=O absorption in an aldehyde, the aldehydic C–H bond also gives two peaks in the 2700–2800 cm-1 range. This absorption, coupled with the...
7.8K
IR Spectroscopy: Molecular Vibration Overview01:24

IR Spectroscopy: Molecular Vibration Overview

5.8K
When Infrared (IR) radiation passes through a covalently bonded molecule, the bonds transition from lower to higher vibrational levels. The fundamental vibrational motions that result in infrared absorption can be classified as stretching or bending vibrations.
Stretching vibrations are vibrational motions that occur along the bond line, changing the bond length or distance between two bonded atoms. They are further distinguished as symmetric or asymmetric. In symmetric stretching, the...
5.8K

You might also read

Related Articles

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

Sort by
Same author

Metabolic engineering of Saccharomyces cerevisiae for efficient production of dihydroartemisinic acid.

Bioresource technology·2026
Same author

WGCNA identifies key genes involved in methyl jasmonate-mediated tolerance to mercury stress in maize (Zea mays L.).

BMC plant biology·2026
Same author

Tumour-Associated MUC1 Exerts Multiple Effects on Cholesterol and Lipid Metabolism-A Potential Pathogenic Effector of Atherosclerosis in Cancer.

International journal of molecular sciences·2026
Same author

Research progress of rebound pain after nerve block in arthroscopic rotator cuff repair.

Frontiers in medicine·2025
Same author

Ganoderma lucidum spore oil modulates immunity in hepatoma H22-bearing mice and restricts tumor growth by inhibiting eicosanoid metabolism pathway.

Journal of ethnopharmacology·2025
Same author

Liquiritin improves macrophage degradation of engulfed tumour cells by promoting the formation of phagolysosomes via NOX2/gp91phox.

Journal of pharmaceutical analysis·2025

Related Experiment Video

Updated: Mar 17, 2026

A Multimodal Wide-Field Fourier-Transform Raman Microscope
06:48

A Multimodal Wide-Field Fourier-Transform Raman Microscope

Published on: December 30, 2025

659

Automated decomposition algorithm for Raman spectra based on a Voigt line profile model.

Yunliang Chen, Liankui Dai

    Applied Optics
    |July 14, 2016
    PubMed
    Summary

    This study introduces an automated algorithm using a Voigt profile model to decompose Raman spectra, effectively resolving overlapping bands and reducing noise for improved spectral analysis.

    Area of Science:

    • Spectroscopy
    • Analytical Chemistry
    • Computational Chemistry

    Background:

    • Raman spectra often exhibit band overlap and random noise, complicating analysis.
    • Accurate spectral decomposition is crucial for extracting meaningful information.

    Purpose of the Study:

    • To develop an automated algorithm for Raman spectral decomposition.
    • To address challenges of band overlap and noise in Raman spectroscopy.

    Main Methods:

    • Utilized a Voigt line profile model to parameterize measured Raman spectra.
    • Employed a Gaussian function for instrumental broadening correction.
    • Transformed spectral decomposition into a multiparameter optimization problem.

    Main Results:

    More Related Videos

    Ultrafast Time-resolved Near-IR Stimulated Raman Measurements of Functional π-conjugate Systems
    09:57

    Ultrafast Time-resolved Near-IR Stimulated Raman Measurements of Functional π-conjugate Systems

    Published on: February 10, 2020

    7.7K
    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

    7.7K

    Related Experiment Videos

    Last Updated: Mar 17, 2026

    A Multimodal Wide-Field Fourier-Transform Raman Microscope
    06:48

    A Multimodal Wide-Field Fourier-Transform Raman Microscope

    Published on: December 30, 2025

    659
    Ultrafast Time-resolved Near-IR Stimulated Raman Measurements of Functional π-conjugate Systems
    09:57

    Ultrafast Time-resolved Near-IR Stimulated Raman Measurements of Functional π-conjugate Systems

    Published on: February 10, 2020

    7.7K
    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

    7.7K
    • The algorithm successfully eliminated instrumental broadening and suppressed noise.
    • Overlapping bands in Raman spectra were resolved.
    • Demonstrated superior performance compared to blind deconvolution on simulated and industrial spectra (ortho-xylene).

    Conclusions:

    • The proposed automated Voigt-based algorithm is effective for Raman spectral decomposition.
    • The method enhances spectral resolution and noise reduction capabilities.
    • Applicable to both simulated and real-world industrial Raman spectra.