The thermodynamic dissociation constants of four non-steroidal anti-inflammatory drugs by the least-squares nonlinear regression of multiwavelength spectrophotometric pH-titration data

publication · 7 years ago
by Milan Meloun, Sylva Bordovska, Lubomír Galla (University of Pardubice)
MarvinView Calculator Plugins (logP logD pKa etc...)
The mixed dissociation constants of four non-steroidal anti-inflammatory drugs (NSAIDs) ibuprofen, diclofenac sodium, flurbiprofen and ketoprofen at various ionic strengths I of range 0.003–0.155, and at temperatures of 25 °C and 37 °C, were determined with the use of two different multiwavelength and multivariate treatments of spectral data, SPECFIT/32 and SQUAD(84) nonlinear regression analyses and INDICES factor analysis. The factor analysis in the INDICES program predicts the correct number of components, and even the presence of minor ones, when the data quality is high and the instrumental error is known. The thermodynamic dissociation constant image was estimated by nonlinear regression of (pKa, I) data at 25 °C and 37 °C. Goodness-of-fit tests for various regression diagnostics enabled the reliability of the parameter estimates found to be proven. PALLAS, MARVIN, SPARC, ACD/pKa and Pharma Algorithms predict pKa being based on the structural formulae of drug compounds in agreement with the experimental value. The best agreement seems to be between the ACD/pKa program and experimentally found values and with SPARC. PALLAS and MARVIN predicted pKa,pred values with larger bias errors in comparison with the experimental value for all four drugs.
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