Literature DB >> 23568772

Application of quality by design concepts in the development of fluidized bed granulation and tableting processes.

Jelena Djuris1, Djordje Medarevic2, Marko Krstic2, Zorica Djuric2, Svetlana Ibric2.   

Abstract

This study illustrates the application of experimental design and multivariate data analysis in defining design space for granulation and tableting processes. According to the quality by design concepts, critical quality attributes (CQAs) of granules and tablets, as well as critical parameters of granulation and tableting processes, were identified and evaluated. Acetaminophen was used as the model drug, and one of the study aims was to investigate the possibility of the development of immediate- or extended-release acetaminophen tablets. Granulation experiments were performed in the fluid bed processor using polyethylene oxide polymer as a binder in the direct granulation method. Tablets were compressed in the laboratory excenter tablet press. The first set of experiments was organized according to Plackett-Burman design, followed by the full factorial experimental design. Principal component analysis and partial least squares regression were applied as the multivariate analysis techniques. By using these different methods, CQAs and process parameters were identified and quantified. Furthermore, an in-line method was developed to monitor the temperature during the fluidized bed granulation process, to foresee possible defects in granules CQAs. Various control strategies that are based on the process understanding and assure desired quality attributes of the product are proposed.
Copyright © 2013 Wiley Periodicals, Inc.

Mesh:

Substances:

Year:  2013        PMID: 23568772     DOI: 10.1002/jps.23530

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  2 in total

1.  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

2.  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

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.