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dc.contributor.author
Culzoni, Maria Julia
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dc.contributor.author
Goicoechea, Hector Casimiro
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dc.date.available
2020-09-21T13:46:46Z
dc.date.issued
2007-12
dc.identifier.citation
Culzoni, Maria Julia; Goicoechea, Hector Casimiro; 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; Springer Heidelberg; Analytical and Bioanalytical Chemistry; 389; 7-8; 12-2007; 2217-2225
dc.identifier.issn
1618-2642
dc.identifier.uri
http://hdl.handle.net/11336/114395
dc.description.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).
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Springer Heidelberg
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dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
ARTIFICIAL NEURAL NETWORKS
dc.subject
LORATADINE
dc.subject
PHARMACEUTICAL
dc.subject
PSEUDOEPHEDRINE
dc.subject
SECOND-ORDER ADVANTAGE
dc.subject.classification
Química Analítica
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dc.subject.classification
Ciencias Químicas
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dc.subject.classification
CIENCIAS NATURALES Y EXACTAS
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dc.title
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
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2020-09-03T19:25:06Z
dc.journal.volume
389
dc.journal.number
7-8
dc.journal.pagination
2217-2225
dc.journal.pais
Alemania
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dc.journal.ciudad
Heidelberg
dc.description.fil
Fil: Culzoni, Maria Julia. Laboratorio de Desarrollo Analítico y Quimiometría (ladaq); Argentina. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Goicoechea, Hector Casimiro. Laboratorio de Desarrollo Analítico y Quimiometría (ladaq); Argentina. Universidad Nacional del Litoral; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
Analytical and Bioanalytical Chemistry
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dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1007/s00216-007-1656-6
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