Separation of natural antioxidants using PDMS electrophoresis microchips coupled with amperometric detection and reverse polarity
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- Bruno Gabriel Lucca
- Instituto de Química Universidade Federal de Mato Grosso do Sul Campo Grande MS Brazil
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- Susan Marie Lunte
- Ralph N. Adams Institute for Bioanalytical Chemistry University of Kansas Lawrence KS USA
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- Wendell Karlos Tomazelli Coltro
- Instituto de Química Universidade Federal de Goiás Goiânia GO Brazil
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- Valdir Souza Ferreira
- Instituto de Química Universidade Federal de Mato Grosso do Sul Campo Grande MS Brazil
Description
<jats:p>This report describes the use of PDMS ME coupled with amperometric detection for rapid separation of ascorbic, gallic , ferulic, <jats:italic>p</jats:italic>‐coumaric acids using reverse polarity. ME devices were fabricated in PDMS by soft lithography and detection was accomplished using an integrated carbon fiber working electrode aligned in the end‐channel configuration. Separation and detection parameters were investigated and the best conditions were obtained using a run buffer consisting of 5 mM phosphate buffer (pH 6.9) and a detection voltage of 1.0 V versus Ag/AgCl reference electrode. All compounds were separated within 70 s using gated injection mode with baseline resolution and separation efficiencies between 1200 and 9000 plates. Calibration curves exhibited good linearity and the LODs achieved ranged from 1.7 to 9.7 μM. The precision for migration time and peak height provided maximum values of 4% for the intrachip studies. Lastly, the analytical method was successfully applied for the analysis of ascorbic and gallic acids in commercial beverage samples. The results achieved using ME coupled with amperometric detection were in good agreement with the values provided by the supplier. Based on the data reported here, the proposed method shows suitability to be applied for the routine analysis of beverage samples.</jats:p>
Journal
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- ELECTROPHORESIS
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ELECTROPHORESIS 35 (23), 3363-3370, 2014-10-20
Wiley
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Details 詳細情報について
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- CRID
- 1362262943862322176
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- ISSN
- 15222683
- 01730835
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- Data Source
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- Crossref