Literature DB >> 11684402

pH-metric solubility. 3. Dissolution titration template method for solubility determination.

A Avdeef1, C M Berger.   

Abstract

The main objective of this study was to develop an effective potentiometric saturation titration protocol for determining the aqueous intrinsic solubility and the solubility-pH profile of ionizable molecules, with the specific aim of overcoming incomplete dissolution conditions, while attempting to shorten the data collection time. A modern theory of dissolution kinetics (an extension of the Noyes-Whitney approach) was applied to acid-base titration experiments. A thermodynamic method was developed, based on a three-component model, to calculate interfacial, diffusion-layer, and bulk-water reactant concentrations in saturated solutions of ionizable compounds perturbed by additions of acid/base titrant, leading to partial dissolution of the solid material. Ten commercial drugs (cimetidine, diltiazem hydrochloride, enalapril maleate, metoprolol tartrate, nadolol, propoxyphene hydrochloride, quinine hydrochloride, terfenadine, trovafloxacin mesylate, and benzoic acid) were chosen to illustrate the new titration methodology. It was shown that the new method is about 10 times faster in determining equilibrium solubility constants, compared to the traditional saturation shake-flask methods.

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Year:  2001        PMID: 11684402     DOI: 10.1016/s0928-0987(01)00190-7

Source DB:  PubMed          Journal:  Eur J Pharm Sci        ISSN: 0928-0987            Impact factor:   4.384


  10 in total

1.  A design and evaluation of layered matrix tablet formulations of metoprolol tartrate.

Authors:  Esra Baloğlu; Taner Senyiğit
Journal:  AAPS PharmSciTech       Date:  2010-03-30       Impact factor: 3.246

2.  Crystal structure transformations and dissolution studies of cimetidine-piroxicam coprecipitates and physical mixtures.

Authors:  Vimon Tantishaiyakul; Sarunyoo Songkro; Krit Suknuntha; Pattakarn Permkum; Pattawee Pipatwarakul
Journal:  AAPS PharmSciTech       Date:  2009-06-12       Impact factor: 3.246

3.  Biorelevant pK(a) (37 °C) predicted from the 2D structure of the molecule and its pK(a) at 25 °C.

Authors:  Na Sun; Alex Avdeef
Journal:  J Pharm Biomed Anal       Date:  2011-05-17       Impact factor: 3.935

4.  Cocrystal Solubility Product Prediction Using an in combo Model and Simulations to Improve Design of Experiments.

Authors:  Alex Avdeef
Journal:  Pharm Res       Date:  2018-02-02       Impact factor: 4.200

5.  PAMPA - excipient classification gradient map.

Authors:  Stefanie Bendels; Oksana Tsinman; Björn Wagner; Dana Lipp; Isabelle Parrilla; Manfred Kansy; Alex Avdeef
Journal:  Pharm Res       Date:  2006-10-20       Impact factor: 4.200

6.  Enalapril and Enalaprilat Pharmacokinetics in Children with Heart Failure Due to Dilated Cardiomyopathy and Congestive Heart Failure after Administration of an Orodispersible Enalapril Minitablet (LENA-Studies).

Authors:  Stephanie Laeer; Willi Cawello; Bjoern B Burckhardt; László Ablonczy; Milica Bajcetic; Johannes M P J Breur; Michiel Dalinghaus; Christoph Male; Saskia N de Wildt; Jörg Breitkreutz; Muhammed Faisal; Anne Keatley-Clarke; Ingrid Klingmann; Florian B Lagler
Journal:  Pharmaceutics       Date:  2022-05-30       Impact factor: 6.525

7.  Application of in vitro Drug Metabolism Studies in Chemical Structure Optimization for the Treatment of Fibrodysplasia Ossificans Progressiva (FOP).

Authors:  Elias C Padilha; Jianyao Wang; Ed Kerns; Arthur Lee; Wenwei Huang; Jian-Kang Jiang; John McKew; Abdul Mutlib; Rosangela G Peccinini; Paul B Yu; Philip Sanderson; Xin Xu
Journal:  Front Pharmacol       Date:  2019-04-24       Impact factor: 5.810

8.  Physiologically-Based Pharmacokinetic Modeling for Drug-Drug Interactions of Procainamide and N-Acetylprocainamide with Cimetidine, an Inhibitor of rOCT2 and rMATE1, in Rats.

Authors:  Yoo-Seong Jeong; Anusha Balla; Kwang-Hoon Chun; Suk-Jae Chung; Han-Joo Maeng
Journal:  Pharmaceutics       Date:  2019-03-06       Impact factor: 6.321

9.  Physiologically Based Pharmacokinetic Modeling of Metoprolol Enantiomers and α-Hydroxymetoprolol to Describe CYP2D6 Drug-Gene Interactions.

Authors:  Simeon Rüdesheim; Jan-Georg Wojtyniak; Dominik Selzer; Nina Hanke; Felix Mahfoud; Matthias Schwab; Thorsten Lehr
Journal:  Pharmaceutics       Date:  2020-12-11       Impact factor: 6.321

10.  Prediction of aqueous intrinsic solubility of druglike molecules using Random Forest regression trained with Wiki-pS0 database.

Authors:  Alex Avdeef
Journal:  ADMET DMPK       Date:  2020-03-04
  10 in total

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