Drop-by-drop chemical reaction and sample introduction for capillary electrophoresis.

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Department of Applied Chemistry, Graduate School of Urban Environmental Sciences, Tokyo, Metropolitan University, Minamiohsawa, Hachioji, Tokyo 192-0397, Japan.

Published: June 2015

AI Article Synopsis

  • Researchers presenta new method for introducing samples and creating chemical reactions using drop-by-drop inkjet injection for electrophoretically mediated microanalysis (EMMA).
  • The technique involves ejected small plugs of reactants that mix through electrophoresis, leading to chemical reactions and subsequent separation of products.
  • In testing, the method showed improved sensitivity and quantification results for a model reaction involving a fluorescent compound and amino acids, demonstrating potential for rapid and cost-effective applications.

Article Abstract

In this paper, we report a novel sample introduction and chemical reaction strategy by drop-by-drop inkjet injection for an electrophoretically mediated microanalysis (EMMA). This method makes it possible to achieve an on-line introduction of reactant solutions by alternately ejecting small plugs, with an overlapping region of the plugs for mixing the reactants by electrophoresis, supporting chemical reactions, followed by electrophoretic separation of the final compounds. As a proof-of-concept of the method, the EMMA of an inkjetted mixture of 4-fluoro-7-nitrobenzofurazan (NBD-F) and amino acids was carried out as a model chemical reaction. The product NBD-amino acids were quantified by detection with laser induced fluorescence. The optimal conditions for the procedure were: inkjet driving voltage: +40-44 V; pulse width: 20-24 μs; drop-by-drop injection of reactant solutions: alternately 2 drops × 25 times for the amino acid solution and the NBD-F solution; zone overlapping voltage and time: 3 kV and 2 s; incubation time after overlapping: 5 min; separation voltage: 18 kV. Under the optimized conditions, a significant enhancement in sensitivity and a sensitive quantitative analysis were realized. The results obtained were comparable with those using the off-line labeling method. This method is rapid, cost-effective, and readily automated for EMMA.

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http://dx.doi.org/10.1039/c5an00040hDOI Listing

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