Quantitative analysis of active pharmaceutical ingredients (APIs) using a potentiometric electronic tongue in a SIA flow system

Małgorzata Wesoły , X. Cetó , M. del Valle , Patrycja Ciosek , Wojciech Wróblewski

Abstract

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.
Author Małgorzata Wesoły ZMB
Małgorzata Wesoły,,
- Department Of Microbioanalytics
, X. Cetó
X. Cetó,,
-
, M. del Valle
M. del Valle,,
-
, Patrycja Ciosek ZMB
Patrycja Ciosek,,
- Department Of Microbioanalytics
, Wojciech Wróblewski ZMB
Wojciech Wróblewski,,
- Department Of Microbioanalytics
Journal seriesElectroanalysis, ISSN 1040-0397
Issue year2016
Vol28
No3
Pages626-632
Publication size in sheets0.5
Keywords in Englishpharmaceutical analysis · active pharmaceutical ingredients (APIs) · ion-selective electrodes · automated electronic tongue · sequential injection analysis
DOIDOI:10.1002/elan.201500407
URL http://onlinelibrary.wiley.com/doi/10.1002/elan.201500407/abstract
Languageen angielski
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Score (nominal)30
ScoreMinisterial score = 30.0, 28-11-2017, ArticleFromJournal
Ministerial score (2013-2016) = 30.0, 28-11-2017, ArticleFromJournal
Publication indicators WoS Impact Factor: 2016 = 2.851 (2) - 2016=2.431 (5)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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