Improved kinetic parameter estimation in pH-profile data treatment,
Auteur(s): I T Some, P Bogaerts, R Hanus, M Hanocq, J Dubois
Auteur(s) tagués: Touridomon Issa SOME ;
Résumé

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 (pK a) in a single run. The most likely experimental initial drug contents C 0j,. where j is the index of a given experiment, are also determined. This approach that takes into account all relevant …

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