Determination of loratadine and pseudoephedrine sulfate in pharmaceuticals based on non-linear second-order spectrophotometric data generated by a pH gradient flow injection technique and artificial neural networks

CULZONI MARÍA JULIA; GOICOECHEA, HÉCTOR C

ANALYTICAL AND BIOANALYTICAL CHEMISTRY

Springer Verlag

Lugar: Berlin; Año: 2007 vol. 389 p. 2217 - 2225

1618-2642

Loratadine (LOR) and pseudoephedrine sulfate (PES) were determined in pharmaceutical samples by using non-linear second-order data, generated by a pH-gradient flow injection analysis (FIA) system with diode array detection. The determination of both analytes was performed based on the differences in the acid-base and spectral features of each drug species. Non-linearities were detected by using both qualitative and quantitative tools. As a consequence of the non-linearity, a recently presented algorithm was showed to furnish more satisfactory results: artificial neural networks followed of residual bilinearization (ANN/RBL). Recoveries of 99.7 % (LOR) and 95.6 % (PES) were obtained when analysing a validation set containing unexpected components (usual excipients found in pharmaceutical preparations). The average value obtained by the method implementation on four replicates was compared against the one gathered by a reference method based on the HPLC technique (difference no significant p > 0.05).