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Equilibrium in-fiber standardization method for determination of sample volume by solid phase microextraction.

Vadoud H Niri1, Janusz Pawliszyn

  • 1Department of Chemistry, University of Waterloo, Waterloo, Ontario, CanadaN2L 3Z7. vhniri@uwaterloo.ca

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This study introduces an in-fiber Solid Phase Microextraction (SPME) method for determining sample volume. The method uses specific standards to accurately measure sample volumes in water and wine matrices.

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Area of Science:

  • Analytical Chemistry
  • Environmental Science

Background:

  • Accurate sample volume determination is crucial for quantitative analysis.
  • Traditional methods can be time-consuming and prone to errors.
  • Solid Phase Microextraction (SPME) offers a sensitive and efficient alternative.

Purpose of the Study:

  • To develop and validate an in-fiber standardization method using SPME for sample volume determination.
  • To assess the applicability of the method in different matrices, including water and wine.
  • To investigate the influence of various parameters on the method's performance.

Main Methods:

  • Utilized a PDMS-coated fiber for Solid Phase Microextraction (SPME).
  • Employed naphthalene and its alkylated derivatives as volumetric standards.
  • Analyzed samples using gas chromatography/mass spectrometry (GC/MS).
  • Investigated effects of loading time, exposure time, temperature, and matrix composition.

Main Results:

  • The amount of standard remaining on the fiber (n(f)) was dependent on the sample volume.
  • Partition coefficients (K(fs) and K(hs)) were determined for the chosen standards.
  • The method demonstrated precision and accuracy in both water and wine samples.
  • Optimal conditions for loading time, exposure time, and temperature were identified.

Conclusions:

  • The developed in-fiber SPME method provides a reliable approach for sample volume determination.
  • The method is robust and applicable to complex matrices like wine.
  • This technique offers an efficient and accurate alternative for quantitative analysis.