Abstract
To understand the drug action mechanism, the acid–base dissociation constant (or pKa) of biologically active compounds is one of the most functional parameters of physicochemical properties. In this respect, it is vital to develop new methodologies for the pKa determination of active substances. In our case, the acid dissociation constant (or pKa value) of aspirin was quantified by applying parallel factor analysis (PARAFAC) and multivariate curve resolution alternating least squares (MCR-ALS) to the square wave voltammetric measurements. In preliminary experiments, to generate second-order data matrix, which can be provided a change in the current with pH and frequency variation, the pH range and frequency range with steps were tested and identified as pH 1–pH 6 (increasement 1) and 10–100 Hz (increasement 10), respectively. Voltammetric datasets were obtained as a function of potential (mV) and frequency (Hz) in water at six different pH levels using the BR buffer solutions. The acidity constants were obtained as 3.39 and 3.35 from pH profiles of the acid–base species of aspirin in dissociation equilibrium. This work revealed that PARAFAC and MCR-ALS models of the voltammetric datasets would be a good alternative to the traditional methods for estimating acid ionization constant.
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This study was conducted in the Chemometrics Laboratory of Ankara University, Faculty of Pharmacy, which was founded with the support of Ankara University with the scientific project number 10A3336001.
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Yazan, Z., Eskiköy Bayraktepe, D. & Dinç, E. Square wave voltammetric pKa determination of aspirin using multi-way data analysis models. Chem. Pap. 76, 5389–5397 (2022). https://doi.org/10.1007/s11696-022-02250-9
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DOI: https://doi.org/10.1007/s11696-022-02250-9