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


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 (FC / IBC / DM)
Małgorzata Wesoły,,
- Department Of Microbioanalytics
, X. Cetó - [Universitat Autònoma de Barcelona]
X. Cetó,,
, M. del Valle - [Universitat Autònoma de Barcelona]
M. del Valle,,
, Patrycja Ciosek (FC / IBC / DM)
Patrycja Ciosek,,
- Department Of Microbioanalytics
, Wojciech Wróblewski (FC / IBC / DM)
Wojciech Wróblewski,,
- Department Of Microbioanalytics
Journal seriesElectroanalysis, ISSN 1040-0397
Issue year2016
Publication size in sheets0.5
Keywords in Englishpharmaceutical analysis · active pharmaceutical ingredients (APIs) · ion-selective electrodes · automated electronic tongue · sequential injection analysis
ASJC Classification1603 Electrochemistry; 1602 Analytical Chemistry
URL http://onlinelibrary.wiley.com/doi/10.1002/elan.201500407/abstract
Languageen angielski
Weso-y_et_al-2016-Electroanalysis.pdf 844.22 KB
Score (nominal)30
Score sourcejournalList
ScoreMinisterial score = 30.0, 31-01-2020, ArticleFromJournal
Ministerial score (2013-2016) = 30.0, 31-01-2020, ArticleFromJournal
Publication indicators WoS Citations = 8; Scopus Citations = 11; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.724; WoS Impact Factor: 2016 = 2.851 (2) - 2016=2.431 (5)
Citation count*
Share Share

Get link to the record

* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
Are you sure?