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Quantitative multiplex CARS spectroscopy in congested spectral regions.

Hilde A Rinia1, Mischa Bonn, Michiel Müller

  • 1Swammerdam Institute for Life Sciences, University of Amsterdam, P.O. Box 94062, 1090 GB Amsterdam, The Netherlands.

The Journal of Physical Chemistry. B
|March 3, 2006
PubMed
Summary

A new method converts Coherent Anti-Stokes Raman Scattering (CARS) spectra into Raman spectra, enabling quantitative analysis. This technique accurately analyzes complex biological molecules like nucleotides and lipid vesicles.

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Area of Science:

  • Spectroscopy
  • Chemical Analysis
  • Biophysics

Background:

  • Coherent Anti-Stokes Raman Scattering (CARS) spectroscopy is a powerful vibrational imaging technique.
  • Analyzing highly congested spectral regions in CARS data presents significant challenges for quantitative interpretation.
  • Spontaneous Raman scattering provides complementary vibrational information but can be weak and slow.

Purpose of the Study:

  • To develop a novel procedure for describing and reproducing experimental CARS data, particularly in congested spectral regions.
  • To enable quantitative interpretation of CARS spectra by converting them into Raman spectra.
  • To demonstrate the utility of this method for analyzing complex biological samples.

Main Methods:

  • A new procedure is developed to retrieve the underlying vibrational Raman response from multiplex CARS spectra.

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  • The method utilizes spontaneous Raman scattering results and requires adequate signal-to-noise ratio (SNR) and a priori knowledge of vibrational resonances.
  • The conversion of CARS to Raman data is demonstrated using high-quality multiplex CARS data.

    • Main Results:

    • The underlying vibrational Raman response can be successfully retrieved from multiplex CARS spectra.
    • Raman spectra can be reconstituted from CARS data, allowing for quantitative analysis.
    • The approach is demonstrated for highly congested multiplex CARS spectra of adenosine triphosphates (ATP, ADP, AMP), nicotinamide adenine dinucleotide (NAD+), and POPC SUVs.
    • Quantitative determination of nucleotide concentrations and composition analysis in mixtures was achieved.

    Conclusions:

    • The developed procedure enables accurate quantitative interpretation of CARS spectra, even in highly congested regions.
    • This novel approach facilitates the analysis of complex biological mixtures, including nucleotides and lipid vesicles.
    • The conversion of CARS to Raman data represents a significant advancement for spectroscopic analysis of biological systems.