Literature DB >> 20410634

Novel mathematical model for predicting the dissolution profile of spherical particles under non-sink conditions.

Yasuyoshi Agata1, Yasunori Iwao, Atsuo Miyagishima, Shigeru Itai.   

Abstract

A mechanistic mathematical model was designed to predict dissolution patterns under non-sink conditions. Sulfamethoxazole was used as a model drug, and its physico-chemical properties such as solubility, density, and intrinsic dissolution rate constant etc., were investigated in order to apply these experimental values to the proposed model. Dissolution tests were employed as a way of validating the mathematical model, and it was found that the predictions given by the model were surprisingly accurate for all particle sizes. In addition, a simulation focused on forecasting the fraction of the drug that was dissolved at a certain time point when various initial particle diameters were used was also particularly valuable. Therefore, these results demonstrated that the model enables dissolution profiles to be analyzed under non-sink conditions.

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Year:  2010        PMID: 20410634     DOI: 10.1248/cpb.58.511

Source DB:  PubMed          Journal:  Chem Pharm Bull (Tokyo)        ISSN: 0009-2363            Impact factor:   1.645


  3 in total

1.  Dissolution studies of poorly soluble drug nanosuspensions in non-sink conditions.

Authors:  Peng Liu; Odile De Wulf; Johanna Laru; Teemu Heikkilä; Bert van Veen; Juha Kiesvaara; Jouni Hirvonen; Leena Peltonen; Timo Laaksonen
Journal:  AAPS PharmSciTech       Date:  2013-04-25       Impact factor: 3.246

2.  A Systematic Approach in the Development of the Morphologically-Directed Raman Spectroscopy Methodology for Characterizing Nasal Suspension Drug Products.

Authors:  Gonçalo Farias; Jagdeep Shur; Robert Price; Elizabeth Bielski; Bryan Newman
Journal:  AAPS J       Date:  2021-05-18       Impact factor: 4.009

3.  Justification of disintegration testing beyond current FDA criteria using in vitro and in silico models.

Authors:  Lukas Uebbing; Lukas Klumpp; Gregory K Webster; Raimar Löbenberg
Journal:  Drug Des Devel Ther       Date:  2017-04-11       Impact factor: 4.162

  3 in total

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