Analysis of available surface area can predict the long-term dissolution profile of tablets using short-term stability studies.


Journal

International journal of pharmaceutics
ISSN: 1873-3476
Titre abrégé: Int J Pharm
Pays: Netherlands
ID NLM: 7804127

Informations de publication

Date de publication:
30 Aug 2020
Historique:
received: 27 02 2020
revised: 24 05 2020
accepted: 01 06 2020
pubmed: 9 6 2020
medline: 4 3 2021
entrez: 8 6 2020
Statut: ppublish

Résumé

Generally, since at least 6 months are usually needed for accelerated testing of tablet at 40 °C/75% relative humidity (RH), it would be crucial important to predict the dissolution profiles during long-term storage period by using samples stored with shorter periods such as 3 months. In this study, we developed a new method for predicting changes in dissolution from tablets during long-term storage-based changes in the available surface area [S (t)]. In addition, we discussed the dissolution behavior and mechanisms using S (t). The results revealed drastic delays in dissolution in samples stored at 40 °C/75% RH for 7 weeks. Considering changes of S (t) patterns, this delay was derived from changes of the tablet surface. New parameters, namely T

Identifiants

pubmed: 32505576
pii: S0378-5173(20)30488-9
doi: 10.1016/j.ijpharm.2020.119504
pii:
doi:

Substances chimiques

Butyrophenones 0
Piperidines 0
Tablets 0
ebastine TQD7Q784P1

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

119504

Informations de copyright

Copyright © 2020 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Hiroki Tsunematsu (H)

School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka 422-8526, Japan.

Hiroki Hifumi (H)

Analytical & Quality Evaluation Research Laboratories, Pharmaceutical Technology Division, Daiichi Sankyo Co., Ltd., Kanagawa 254-0014, Japan.

Ryunosuke Kitamura (R)

Analytical & Quality Evaluation Research Laboratories, Pharmaceutical Technology Division, Daiichi Sankyo Co., Ltd., Kanagawa 254-0014, Japan.

Daiki Hirai (D)

School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka 422-8526, Japan.

Masahito Takeuchi (M)

Analytical & Quality Evaluation Research Laboratories, Pharmaceutical Technology Division, Daiichi Sankyo Co., Ltd., Kanagawa 254-0014, Japan.

Motomu Ohara (M)

Analytical & Quality Evaluation Research Laboratories, Pharmaceutical Technology Division, Daiichi Sankyo Co., Ltd., Kanagawa 254-0014, Japan.

Shigeru Itai (S)

School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka 422-8526, Japan.

Yasunori Iwao (Y)

School of Pharmaceutical Sciences, University of Shizuoka, Shizuoka 422-8526, Japan. Electronic address: yasuiwao@u-shizuoka-ken.ac.jp.

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Classifications MeSH