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Quantitation of branched‐chain amino acids in ascites by capillary electrophoresis with light‐emitting diode‐induced fluorescence detection
Author(s) -
Chang PoLing,
Chiu TaiChia,
Wang TsangEn,
Hu KuangChun,
Tsai YuHsien,
Hu ChoChun,
Bair MingJong,
Chang HuanTsung
Publication year - 2011
Publication title -
electrophoresis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.666
H-Index - 158
eISSN - 1522-2683
pISSN - 0173-0835
DOI - 10.1002/elps.201000445
Subject(s) - valine , chemistry , ascites , capillary electrophoresis , amino acid , leucine , chromatography , naphthalene , detection limit , isoleucine , fluorescence , sodium , biochemistry , medicine , organic chemistry , physics , quantum mechanics
Branched‐chain amino acids (BCAAs) are one of the important biomarkers for monitoring liver disease such as hepatitis or hepatoma. In this communication, we present the determination of the concentrations of BCAA in ascites by CE light‐emitted diode‐induced fluorescence (LEDIF) using 1.5% m/v poly(ethylene oxide) (average M v : ∼8 000 000 g/mol) that was prepared in 10 mM sodium tetraborate solution (pH 9.3). Naphthalene‐2,3‐dicarboxaldehyde was used to derivatize 15 amino acids (AAs) to form naphthalene‐2,3‐dicarboxaldehyde (NDA)‐AA derivatives prior to CE analysis. The separation of 15 NDA‐AA derivatives was accomplished within 15 min, with RSD values of <5.8% (within‐day) and 7.4% (between‐days) with respect to their migration times. The limits of detection for the tested BCAAs ranged from 10.6 to 10.9 nM. We determined the concentrations of three BCAAs – leucine, isoleucine and valine – in ascites by applying a standard addition method, with recovery percentages ranging from 93.9 to 111%. The results obtained from this CE‐LEDIF method is in good agreement with those by a gold standard method using an AA analyzer. We have found that the concentrations of the three BCAAs in ascites obtained from patients suffering from liver diseases were lower than those from healthy individuals. Our approach is highly efficient, sensitive, and cost‐effective, which holds great potential for the diagnosis of liver diseases.