Issue 3, 2015

Baseline separation of amino acid biomarkers of hepatocellular carcinoma by polyvinylpyrrolidone-filled capillary electrophoresis with light-emitting diode-induced fluorescence in the presence of mixed micelles

Abstract

Physiological amino acids (AAs) are important indices for monitoring various diseases, including cancer. This study proposes a polymer-based separation method in the presence of mixed micelles for the determination of AAs by capillary electrophoresis with light-emitting diode-induced fluorescence. The separation of 18 amino acid–cyano[f]benzoisoindoles (AA–CBIs) was successfully achieved using a solution of polyvinylpyrrolidone (PVP, 5% w/v, Mavg 1 300 000 Da). In addition, we demonstrated that mixed micelles composed of sodium dodecyl sulfate and isopropanol may affect the migration order of the AA–CBIs and greatly improve the speed of separation. With the exception of proline, 21 plasma AA–CBIs, including high isoelectric point AAs (lysine, ornithine, and arginine), were identified by using optimized separation conditions with minimal matrix effects. The results of this study demonstrated the distinct advantages of the proposed method, such as simplicity, high efficiency, and cost-effectiveness. This method has great potential for the diagnosis of several important diseases, including carcinomas, aminoacidopathies, and neurotransmission disorders.

Graphical abstract: Baseline separation of amino acid biomarkers of hepatocellular carcinoma by polyvinylpyrrolidone-filled capillary electrophoresis with light-emitting diode-induced fluorescence in the presence of mixed micelles

Supplementary files

Article information

Article type
Paper
Submitted
24 Aug 2014
Accepted
24 Nov 2014
First published
25 Nov 2014

Analyst, 2015,140, 847-853

Author version available

Baseline separation of amino acid biomarkers of hepatocellular carcinoma by polyvinylpyrrolidone-filled capillary electrophoresis with light-emitting diode-induced fluorescence in the presence of mixed micelles

Y. Chen and P. Chang, Analyst, 2015, 140, 847 DOI: 10.1039/C4AN01550A

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