Abstract
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. Determination of both analytes was performed on the basis of differences between 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 reported algorithm, artificial neural networks followed by residual bilinearization (ANN/RBL), was shown to furnish more satisfactory results. Recoveries of 99.7% (LOR) and 95.6% (PES) were obtained when analyzing a validation set containing unexpected components (the usual excipients found in pharmaceutical preparations). The average value obtained by implementation of the method on four replicates was compared with that obtained by a reference method based on HPLC (difference not significant; p > 0.05).
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Abbreviations
- U-PLS/RBL:
-
Unfolded partial-least-squares/residual bilinearization
- ANN/RBL:
-
Artificial neural networks followed by residual bilinearization
- HPLC:
-
High-performance liquid chromatography
- PARAFAC:
-
Parallel-factor analysis
- GRAM:
-
Generalized rank-annihilation method
- MCR–ALS:
-
Multivariate curve resolution–alternating least squares
- FIA:
-
Flow injection analysis
- DAD:
-
Diode-array detector
- SVD:
-
Singular-value decomposition
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Acknowledgment
Financial support from Universidad Nacional del Litoral and Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) is gratefully acknowledged. M.J.C. thanks CONICET for a fellowship.
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Culzoni, M.J., Goicoechea, H.C. 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. Anal Bioanal Chem 389, 2217–2225 (2007). https://doi.org/10.1007/s00216-007-1656-6
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DOI: https://doi.org/10.1007/s00216-007-1656-6