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Liquid-liquid extraction in flow analysis: A critical review.

Cristina I C Silvestre1, João L M Santos, José L F C Lima

  • 1REQUIMTE, Serviço de Química-Física, Faculdade de Farmácia, Universidade do Porto, R. Aníbal Cunha, 164, 4099-030 Porto, Portugal.

Analytica Chimica Acta
|September 30, 2009
PubMed
Summary

Automated continuous flow liquid-liquid extraction (LLE) offers efficient pre-concentration and separation for diverse analytes. This review critically examines various flow-based LLE strategies and their analytical performance in hyphenation with detection techniques.

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Area of Science:

  • Analytical Chemistry
  • Separation Science

Background:

  • Liquid-liquid extraction (LLE) is a fundamental sample preparation technique.
  • Automation of LLE is crucial for high-throughput analytical applications.

Purpose of the Study:

  • To critically review automated continuous flow-based liquid-liquid extraction (LLE) approaches.
  • To discuss the pre-concentration and separation capabilities of these methods for various analytes.
  • To evaluate the analytical performance and components of flow-based LLE systems.

Main Methods:

  • Review of distinct automated continuous flow-based LLE strategies.
  • Analysis of hyphenation with UV/vis spectrophotometry, atomic spectrometry, and luminescent detection.
  • Examination of extraction strategies including wetting film, supported liquid membrane, and back extraction.
  • Discussion of flow manifold components: segmenter, extraction coil, and phase separator.

Main Results:

  • Flow-based LLE enables efficient pre-concentration and separation of ultra-trace metals, metalloids, phenolic compounds, surfactants, and pharmaceuticals.
  • Various extraction strategies like zone sampling and iterative reversal techniques are detailed.
  • Analytical performance is influenced by flow manifold components and extraction schemes.

Conclusions:

  • Automated continuous flow LLE offers significant advantages for analytical sample preparation.
  • The review provides a comprehensive overview of system components, selectivity, benefits, and limitations.
  • Selected applications demonstrate the versatility and effectiveness of flow-based LLE methods.