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Taylor Dispersion Analysis of Polysaccharides Using Backscattering Interferometry.

Phoonthawee Saetear1, Joseph Chamieh1, Michael N Kammer2,3

  • 1IBMM, Univ. Montpellier, CNRS, ENSCM, Montpellier, France.

Analytical Chemistry
|May 23, 2017
PubMed
Summary
This summary is machine-generated.

Taylor dispersion analysis (TDA) can now characterize non-UV absorbing compounds. This new method uses refractive index sensing with backscattering interferometry (BSI) for sensitive detection, enabling molecular size determination.

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Area of Science:

  • Analytical Chemistry
  • Polymer Science
  • Physical Chemistry

Background:

  • Taylor dispersion analysis (TDA) determines solute diffusion coefficients (D) and hydrodynamic radii (Rh) via peak broadening in laminar flow.
  • Current TDA methods are limited by detection sensitivity, typically relying on UV absorption, excluding non-UV absorbing compounds.

Purpose of the Study:

  • To develop a sensitive detection method for TDA applicable to non-UV absorbing compounds.
  • To enable accurate size characterization of molecules, including polysaccharides, using TDA.

Main Methods:

  • Interfacing backscattering interferometry (BSI), a universal refractive index (RI) detector, with a capillary electrophoresis-UV instrument.
  • Utilizing a fused silica capillary and a custom flow-cell assembly for TDA-BSI measurements.
  • Applying TDA-BSI to determine diffusion coefficients (D) and hydrodynamic radii (Rh) distributions of polysaccharides.

Main Results:

  • Successfully adapted TDA for non-UV absorbing compounds using BSI-based RI detection.
  • Obtained average D and Rh values, as well as complete Rh distributions for polysaccharides.
  • Demonstrated the utility of TDA-BSI for comprehensive size characterization of polymers.

Conclusions:

  • TDA-BSI offers a sensitive and universal detection approach for molecular size analysis.
  • This method expands the applicability of TDA to a wider range of compounds, including non-UV absorbing polymers.
  • TDA-BSI provides detailed information on molecular size distributions, crucial for polymer characterization.