Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Raman Spectroscopy Instrumentation: Overview

Raman Spectroscopy Instrumentation: Overview

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...

Raman Spectroscopy: Overview

Raman Spectroscopy: Overview

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 the...

You might also read

Related Articles

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

Sort by

Same author

Protease-mediated PRC1 dissociation promotes H2AK119ub remodeling during stress responses.

The EMBO journal·2026

Same author

PD-1/PD-L1 inhibitors plus chemotherapy versus chemotherapy alone for Asian patients with advanced triple-negative breast cancer: a phase III RCTs based meta-analysis.

Frontiers in oncology·2025

Same author

An animal model recapitulates human hepatic diseases associated with <i>GATA6</i> mutations.

Proceedings of the National Academy of Sciences of the United States of America·2024

Same author

Development of a tongue image-based machine learning tool for the diagnosis of gastric cancer: a prospective multicentre clinical cohort study.

EClinicalMedicine·2023

Same author

Insights into the evolution of the ISG15 and UBA7 system.

Genomics·2022

Same author

The Ribosome Biogenesis Factor Ltv1 Is Essential for Digestive Organ Development and Definitive Hematopoiesis in Zebrafish.

Frontiers in cell and developmental biology·2021

Search research articles

Related Experiment Video

Updated: May 23, 2026

Single-Molecule Surface-Enhanced Raman Scattering Measurements Enabled by Plasmonic DNA Origami Nanoantennas

Single-Molecule Surface-Enhanced Raman Scattering Measurements Enabled by Plasmonic DNA Origami Nanoantennas

Published on: July 21, 2023

Modified indirect hard modeling for non-invasive Raman measurements containing surface interference.

Hua Ruan¹, Liankui Dai

¹State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou, China.

Analytical Sciences : the International Journal of the Japan Society for Analytical Chemistry

|March 28, 2012

Summary

This study presents a new computational method for Raman spectral recovery, effectively separating surface interference and fluorescence. The developed algorithm enhances the accuracy of Raman spectroscopy analysis in complex samples.

More Related Videos

Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates

Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates

Published on: March 20, 2015

Comprehensive Characterization of Tissue Mineralization in an Ex Vivo Model

Comprehensive Characterization of Tissue Mineralization in an Ex Vivo Model

Published on: September 27, 2024

Related Experiment Videos

Last Updated: May 23, 2026

Single-Molecule Surface-Enhanced Raman Scattering Measurements Enabled by Plasmonic DNA Origami Nanoantennas

Single-Molecule Surface-Enhanced Raman Scattering Measurements Enabled by Plasmonic DNA Origami Nanoantennas

Published on: July 21, 2023

Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates

Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates

Published on: March 20, 2015

Comprehensive Characterization of Tissue Mineralization in an Ex Vivo Model

Comprehensive Characterization of Tissue Mineralization in an Ex Vivo Model

Published on: September 27, 2024

Area of Science:

Analytical Chemistry
Spectroscopy
Computational Science

Background:

Non-invasive Raman spectroscopy is increasingly applied but faces challenges with surface interference and signal overlap.
Excessive surface signals and intense fluorescence in Raman spectra hinder accurate sample analysis.
Existing Raman spectral recovery methods struggle with overlapping bands and fluorescence.

Purpose of the Study:

To develop a computational method for accurate Raman spectral recovery in two-layer systems.
To address challenges of surface interference, overlapping Raman bands, and intense fluorescence.
To improve the reliability of Raman spectroscopy for complex sample analysis.

Main Methods:

A modified indirect hard modeling algorithm was developed for Raman spectral recovery.
The algorithm uses an iterative stepwise optimization process on two acquired spectra.
It models spectra by combining scaled spectra, polynomial baselines, and sample Raman peaks.

Main Results:

The proposed algorithm effectively extracts true Raman spectra from complex samples.
It successfully mitigates issues related to overlapping Raman bands and strong fluorescence.
Experimental evaluation demonstrated superior performance compared to existing methods for spectral recovery.

Conclusions:

The modified indirect hard modeling algorithm offers a robust solution for Raman spectral recovery.
This method enhances the applicability of Raman spectroscopy in challenging analytical scenarios.
Accurate spectral deconvolution is crucial for advancing non-invasive analytical techniques.