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Web of Science: 4 cites,
Quantitative analysis of active pharmaceutical ingredients (APIs) using a potentiometric electronic tongue in a SIA flow system
Wesoly, Malgorzata (Warsaw University of Technology. Department of Microbioanalytics)
Cetó Alsedà, Xavier (Universitat Autònoma de Barcelona. Grup de Sensors i Biosensors)
Valle Zafra, Manuel del (Universitat Autònoma de Barcelona. Departament de Química)
Ciosek, Patrycja (Warsaw University of Technology. Department of Microbioanalytics)
Wróblewski, Wojciech (Warsaw University of Technology. Department of Microbioanalytics)

Data: 2016
Resum: An advanced potentiometric electronic tongue and Sequential Injection Analysis (SIA) measurement system was applied for the quantitative analysis of mixtures containing three active pharmaceutical ingredients (APIs): acetaminophen, ascorbic acid and acetylsalicylic acid, in the presence of various amounts of caffeine as interferent. The flow-through sensor array was composed of miniaturized classical ion-selective electrodes based on plasticized PVC membranes containing only ion exchangers. Partial Least Squares (PLS) analysis of the steady-state sensor array responses, measured in API mixtures prepared by the SIA system permitted a correct quantitative analysis of acetylsalicylic acid and ascorbic acid. Further optimization using multiway PLS fed by dynamic responses without additional feature extraction did not improve significantly the resolution of acetaminophen. Lastly, the chemometric treatment, involving the extraction of dynamic components of the transient response employing the Wavelet transform, the removal of less-significant coefficients by means of Causal Index pruning and training of an Artificial Neural Network (ANN) with the selected coefficients, allowed the simultaneous determination of all the three studied APIs, while counterbalancing any interference due to caffeine.
Nota: Número d'acord de subvenció National Science Centre/OPUS/DEC-2013/09/B/ST4/00957
Nota: Número d'acord de subvenció National Science Centre/OPUS/LIDER/17/202/L-1/09/NCBiR/2010
Drets: Tots els drets reservats.
Llengua: Anglès
Document: article ; recerca ; submittedVersion
Matèria: Pharmaceutical analysis ; Active pharmaceutical ingredients (APIs) ; Ion-selective electrodes ; Automated electronic tongue ; Sequential injection analysis
Publicat a: Electroanalysis, Vol. 28, Issue 3 (March 2016) , p. 626–632, ISSN 1040-0397

DOI: 10.1002/elan.201500407

20 p, 1.2 MB

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