Improved kinetic parameter estimation in pH-profile data treatment

Statistical problems in temperature stability parameter estimation have been the subject of many papers whereas statistics in, pH-profile parameter estimation have focused little attention. However, the conventional two step method used in data treatment in both cases leads to identical statistical...

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Veröffentlicht in:International journal of pharmaceutics Jg. 198; H. 1; S. 39 - 49
Hauptverfasser: Some, Issa T, Bogaerts, Philippe, Hanus, Raymond, Hanocq, Michel, Dubois, Jacques
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Amsterdam Elsevier B.V 30.03.2000
Elsevier
Schlagworte:
Acetylsalicylic acid
Algorithms
Aspirin - chemistry
Biological and medical sciences
Chromatography, High Pressure Liquid
Costs and Cost Analysis
Data Interpretation, Statistical
Drug Stability
General pharmacology
Hydrogen-Ion Concentration
Kinetics
Markov Chains
Medical sciences
Non-linear fitting
Nonlinear Dynamics
pH-profile
Pharmacology. Drug treatments
Physicochemical properties. Structure-activity relationships
Simplex algorithm
Stability
pH-profile
Stability
Acetylsalicylic acid
Simplex algorithm
Non-linear fitting
Salicylic acid
Pharmaceutical technology
Mathematical analysis
Estimation
Chemical stability
pH
Kinetic parameter
Chemical properties
Salicylates
Forecast model
Chemical reaction kinetics
Physicochemical properties
ISSN:0378-5173, 1873-3476
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Zusammenfassung:Statistical problems in temperature stability parameter estimation have been the subject of many papers whereas statistics in, pH-profile parameter estimation have focused little attention. However, the conventional two step method used in data treatment in both cases leads to identical statistical problems. The aim of this study is then to introduce a method that improves statistics in pH-profile parameter estimation. A one step non-linear method that takes into account the errors in drug content determination is proposed. A mathematical relationship between drug content C, pH and time t is tested. The proposed method allows the estimation of the specific kinetic constants and the dissociation constant (p K a) in a single run. The most likely experimental initial drug contents C 0 j ,. where j is the index of a given experiment, are also determined. This approach that takes into account all relevant experimental information for the estimation of kinetic parameters is more rigorous from a statistical viewpoint than the classical two step methods. Kinetic data from acetylsalicylic acid (ASA) hydrolysis was used for the tests.
Bibliographie:ObjectType-Article-1
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ISSN:0378-5173
1873-3476
DOI:10.1016/S0378-5173(99)00404-4