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

998
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...
998
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

You might also read

Related Articles

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

Sort by
Same author

A Novel LIBS-Machine Learning Strategy for Multimetal Detection in Microsized PMMA Particles: Efficient Quantification for Composite Pollution.

Analytical chemistry·2025
Same author

Quantitative Analysis of Multi-Elements in a Micron-Sized Single Particle Based on Laser-Induced Breakdown Spectroscopy Signal Enhancement of an Optical Fiber Collimated System.

Analytical chemistry·2025
Same author

Rapid quantitative analysis of petroleum coke properties by laser-induced breakdown spectroscopy combined with random forest based on a variable selection strategy.

RSC advances·2024
Same author

Rapid quantitative analysis of rare earth elements Lu and Y in rare earth ores by laser induced breakdown spectroscopy combined with iPLS-VIP and partial least squares.

RSC advances·2023
Same author

Quantitative analysis of phenanthrene in soil by fluorescence spectroscopy coupled with the CARS-PLS model.

RSC advances·2023
Same author

Quantitative Analysis of the Cu Element Enhanced by AgNPs in a Single Microsized Suspended Particle Based on Optical Trapping-LIBS and Machine Learning.

Analytical chemistry·2023

Related Experiment Video

Updated: Jan 9, 2026

A Multimodal Wide-Field Fourier-Transform Raman Microscope
06:46

A Multimodal Wide-Field Fourier-Transform Raman Microscope

Published on: December 30, 2025

16

Raman Spectroscopy-Machine Learning Integration: Advancing High-Precision Quantitative Analysis of Na2SO4 and CaCO3

Chenjia Song1, Rongling Zhang1, Qian Zhou1

  • 1Key Laboratory of Synthetic and Natural Functional Molecular Chemistry of Ministry of Education, College of Chemistry & Material Science, Northwest University, Xi'an 710127, China.

Analytical Chemistry
|December 3, 2025
PubMed
Summary

Raman spectroscopy and partial least squares (PLS) accurately quantify sodium sulfate and calcium carbonate in simulated murals. This method enhances analysis for cultural heritage preservation and understanding salt-induced deterioration.

More Related Videos

Combining Raman Imaging and Multivariate Analysis to Visualize Lignin, Cellulose, and Hemicellulose in the Plant Cell Wall
07:51

Combining Raman Imaging and Multivariate Analysis to Visualize Lignin, Cellulose, and Hemicellulose in the Plant Cell Wall

Published on: June 10, 2017

12.4K
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 9, 2026

A Multimodal Wide-Field Fourier-Transform Raman Microscope
06:46

A Multimodal Wide-Field Fourier-Transform Raman Microscope

Published on: December 30, 2025

16
Combining Raman Imaging and Multivariate Analysis to Visualize Lignin, Cellulose, and Hemicellulose in the Plant Cell Wall
07:51

Combining Raman Imaging and Multivariate Analysis to Visualize Lignin, Cellulose, and Hemicellulose in the Plant Cell Wall

Published on: June 10, 2017

12.4K
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
  • Materials Science
  • Art Conservation Science

Background:

  • Ancient murals face degradation from environmental factors and human activity.
  • Salt-induced deterioration, including exfoliation and cracking, compromises mural integrity and artistic value.
  • Accurate quantification of salt concentrations is crucial for effective conservation strategies.

Purpose of the Study:

  • To develop and validate a quantitative analysis method for sodium sulfate (Na2SO4) and calcium carbonate (CaCO3) in simulated mural samples.
  • To assess the efficacy of Raman spectroscopy combined with partial least squares (PLS) for analyzing surface white pigments.
  • To provide innovative technical support for the microregion quantitative analysis of cultural heritage.

Main Methods:

  • Preparation of 30 simulated mural samples with optimized pigment particle size and gelatin concentration.
  • Acquisition of Raman spectra from the simulated mural samples.
  • Optimization of PLS calibration models using spectral pretreatment and variable selection methods, evaluated by R2, RMSE, MRE, RSD, and RPD.

Main Results:

  • Two PLS models demonstrated superior predictive performance: MSC-biPLS-PLS for Na2SO4 (Rp2 = 0.9635) and MSC-siPLS-PLS for CaCO3 (Rp2 = 0.9891).
  • Models achieved low errors (RMSEp, MREp) and high predictive ability (RPD > 8.6).
  • Recovery rates for Na2SO4 and CaCO3 in random samples were 106.7% and 111.3%, respectively.

Conclusions:

  • Raman spectroscopy coupled with PLS provides an efficient and accurate method for quantitative analysis of key salts in mural surfaces.
  • The developed models offer reliable data for understanding salt-induced deterioration mechanisms.
  • This technique significantly advances microregion analysis capabilities for cultural heritage preservation.