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Preconcentration of Aromatic Compounds in Aqueous Samples with a Polymer-coated Fiber-packed Capillary and Subsequent Temperature-programmed Elution with Water for Pseudo-2D LC Separations

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Abstract

A bundle of polymer-coated filaments was successfully introduced as an extraction medium for the preconcentration of an aqueous solution of aromatic compounds. The extraction was simply carried out with pumping the aqueous sample solution to the extraction capillary at ambient temperature. The extracted analytes were sequentially eluted with a flow of pure water using temperature-programmed heating of the extraction capillary in an oven. The results clearly suggest that the polymer-coated fiber-packed capillary could be employed in the sample preparation process for the analysis of various aqueous samples. Introducing the fractions eluted from the fiber-packed capillary to a conventional microcolumn liquid chromatography (micro-LC) system via a home-made valve-based modulator, an on-line coupled extraction/separation system was developed and a possibility to a pseudo-two-dimensional (pseudo-2D) LC separation of aromatic compounds in aqueous matrices has also been demonstrated.

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Authors and Affiliations

  1. Department of Environmental and Life Sciences, Toyohashi University of Technology, 1-1 Hibariga-oka, 441-8580, Tempaku-cho, Toyohashi, Japan

    Toshiaki Tazawa, Yuuhi Mori, Akira Kobayashi, Kenichi Nakane, Tomoya Monobe & Yoshihiro Saito

  2. Department of Chemistry, University of Yamanashi, 4-3-11 Takeda, 400-8511, Kofu, Japan

    Ikuo Ueta

Authors
  1. Toshiaki Tazawa
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  2. Yuuhi Mori
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  3. Akira Kobayashi
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  4. Kenichi Nakane
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  5. Tomoya Monobe
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  6. Ikuo Ueta
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  7. Yoshihiro Saito
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Correspondence to Yoshihiro Saito.

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Tazawa, T., Mori, Y., Kobayashi, A. et al. Preconcentration of Aromatic Compounds in Aqueous Samples with a Polymer-coated Fiber-packed Capillary and Subsequent Temperature-programmed Elution with Water for Pseudo-2D LC Separations. ANAL. SCI. 31, 1137–1141 (2015). https://doi.org/10.2116/analsci.31.1137

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  • DOI: https://doi.org/10.2116/analsci.31.1137

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