摘要

A capillary electrophoresis (CE) method was proposed with the application of response surface methodology (RSM) and artificial neural network (ANN) for the determination of amiloride hydrochloride (AM) and furosemide (FUR) in Compound Furosemide Tablets. Box-Behnken design (BBD) of RSM was used for the optimization of CE experimental conditions. Statistical models were constructed by Box-Behnken design as well as artificial neural network using the three selected variables (buffer concentration, buffer pH, and voltage). Optimal separation conditions obtained were 16mM NaH2PO4 buffer, pH 7.21, 24kV applied voltage, 6s hydrodynamic injection at 30 mbar, and UV detection at 223nm. Electrophoretic analysis was completed in less than 5min, with LODs of 0.31 mu g/mL for AM and 0.66 mu g/mL for FUR. The method was successfully applied to determine AM and FUR in Compound Furosemide Tablets with RSD lower than 2.2%, and the recovery from 98.8% to 102.5%. Comparative experiments were also carried out using HPLC method described in Chinese Pharmacopoeia. The validation results of the two methods are comparable, but the analysis time and reagent consumption for the proposed CE method were decreased significantly.

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