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Related Concept Videos

Raman Spectroscopy Instrumentation: Overview01:26

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: Overview01:20

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...

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Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy
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Turbidity-corrected Raman spectroscopy for blood analyte detection.

Ishan Barman1, Gajendra P Singh, Ramachandra R Dasari

  • 1Laser Biomedical Research Center, G. R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.

Analytical Chemistry
|May 6, 2009
PubMed
Summary

A new turbidity-corrected Raman spectroscopy (TCRS) method reduces spectral distortion from scattering and absorption in biological tissues. This technique improves the accuracy of quantitative analysis in transcutaneous Raman spectroscopy measurements.

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Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy
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Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy

Published on: May 29, 2012

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Last Updated: Jun 23, 2026

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

Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy
13:48

Non-contact, Label-free Monitoring of Cells and Extracellular Matrix using Raman Spectroscopy

Published on: May 29, 2012

Area of Science:

  • Biomedical Optics
  • Spectroscopy
  • Biophysics

Background:

  • Quantitative biological Raman spectroscopy faces challenges due to light scattering and absorption (turbidity).
  • Spectral distortions from turbidity diminish the predictive power of calibration models in biological measurements.
  • Transcutaneous Raman spectroscopy is particularly affected by these optical properties of tissue.

Purpose of the Study:

  • To introduce a novel analytical method, turbidity-corrected Raman spectroscopy (TCRS), to mitigate spectral distortions.
  • To improve the accuracy and reliability of quantitative Raman spectroscopy in turbid biological samples.
  • To address the limitations of current methods in transcutaneous Raman spectroscopy.

Main Methods:

  • Developed TCRS based on the photon migration approach.
  • Employed alternate acquisition of diffuse reflectance and Raman spectra.
  • Validated the method using tissue phantoms with varying turbidity and randomized concentrations.

Main Results:

  • TCRS application caused Raman spectra from phantoms with identical scatterer concentrations but different turbidities to converge.
  • A prospective study demonstrated a 20% reduction in prediction error using TCRS.
  • The method effectively corrects for spectral distortions caused by scattering and absorption.

Conclusions:

  • TCRS is an effective analytical method for correcting turbidity-induced spectral distortions in Raman spectroscopy.
  • The photon migration approach provides a robust framework for quantitative biological Raman spectroscopy.
  • This technique enhances the predictive capability of calibration models for transcutaneous measurements.