Literature DB >> 25797055

Multivariate modelling to study the effect of the manufacturing process on the complete tablet dissolution profile.

Melanie Dumarey1, Daniel J Goodwin2, Chris Davison2.   

Abstract

Dissolution is invariably identified as a critical quality attribute for oral solid dosage forms, since it is related to when a drug is available for absorption and ultimately exert its effect. In this paper, the influence of granule and compression variability introduced by a design of experiments on the entire dissolution profile was studied with an innovative multivariate tool: bi-directional projections to orthogonal structures (O2PLS). This method enabled a more holistic process understanding compared to conventional approaches where only a single response is used to quantify dissolution. The O2PLS analysis of tablet manufacturing data showed that the disintegration phase of dissolution (10-15 min) was controlled by granule attributes and tablet hardness, while the later phase (15-30 min) was solely controlled by granule attributes. The bidirectional nature of the O2PLS model made it more fit for exploratory purposes, but decreased predictive ability. This approach does not require prior knowledge on the dissolution mechanism and is therefore particularly suited for exploratory studies gaining process understanding during early phase development. The outcome can then guide the selection of attributes, parameters and their ranges for the development of predictive models, e.g., models to define a suitable design space for the process.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Dissolution; Multivariate analysis; Oral solid dose; Orthogonal projections to latent structures; Process understanding; Quality by design

Mesh:

Substances:

Year:  2015        PMID: 25797055     DOI: 10.1016/j.ijpharm.2015.03.040

Source DB:  PubMed          Journal:  Int J Pharm        ISSN: 0378-5173            Impact factor:   5.875


  4 in total

1.  Development and Validation of a Discriminatory Dissolution Model for an Immediately Release Dosage Form by DOE and Statistical Approaches.

Authors:  Mingkun Fu; Ellen Conroy; Michael Byers; Lakshminarasimhan Pranatharthiharan; Thierry Bilbault
Journal:  AAPS PharmSciTech       Date:  2021-04-21       Impact factor: 3.246

2.  A two-step approach for fluidized bed granulation in pharmaceutical processing: Assessing different models for design and control.

Authors:  Liangshan Ming; Zhe Li; Fei Wu; Ruofei Du; Yi Feng
Journal:  PLoS One       Date:  2017-06-29       Impact factor: 3.240

3.  A Precise Prediction Method for the Properties of API-Containing Tablets Based on Data from Placebo Tablets.

Authors:  Yoshihiro Hayashi; Kaede Shirotori; Atsushi Kosugi; Shungo Kumada; Kok Hoong Leong; Kotaro Okada; Yoshinori Onuki
Journal:  Pharmaceutics       Date:  2020-06-28       Impact factor: 6.321

4.  Statistical modeling methods to analyze the impacts of multiunit process variability on critical quality attributes of Chinese herbal medicine tablets.

Authors:  Fei Sun; Bing Xu; Yi Zhang; Shengyun Dai; Chan Yang; Xianglong Cui; Xinyuan Shi; Yanjiang Qiao
Journal:  Drug Des Devel Ther       Date:  2016-11-28       Impact factor: 4.162

  4 in total

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