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Shah convolution Fourier transform detection: multiple-sample injection technique.

Y C Kwok1, A Manz

  • 1AstraZeneca/Smithkline Beecham Centre for Analytical Science, Department of Chemistry, Imperial College of Science, Technology and Medicine, London, UK.

Electrophoresis
|April 6, 2001
PubMed
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This study introduces a multiple-sample injection technique for enhanced electrophoretic mobility measurements. Increasing injected sample plugs boosts signal-to-noise ratio, improving trace analysis capabilities.

Area of Science:

  • Analytical Chemistry
  • Separation Science

Background:

  • Direct measurement of electrophoretic mobility is crucial for chemical analysis.
  • Existing methods can face limitations in sensitivity and signal-to-noise ratio for trace analytes.

Purpose of the Study:

  • To develop and demonstrate a novel multiple-sample injection technique for direct electrophoretic mobility measurement.
  • To enhance the signal-to-noise ratio (S/N) for improved trace analysis.

Main Methods:

  • Utilized Fourier transformation to convert time-domain detector signals to frequency-domain plots.
  • Introduced multiple sample plugs (up to three) into the separation channel.
  • Employed Shah convolution Fourier transform detection (SCOFT) to analyze migration velocities and identify fluorescent species.

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Main Results:

  • Successfully demonstrated the multiple-sample injection technique for one-component systems and separations.
  • SCOFT accurately identified the number of fluorescent species based on migration velocities.
  • Signal-to-noise ratio was found to be directly proportional to the number of injected sample plugs.
  • Fundamental peak height increased with the number of injected sample plugs.

Conclusions:

  • The multiple-sample injection technique significantly enhances S/N, offering potential for trace analysis.
  • This method is adaptable to various separation techniques like HPLC and detection methods such as absorption and refractive index.