Literature DB >> 29104067

The application of Quality by Design framework in the pharmaceutical development of dry powder inhalers.

Francesca Buttini1, Stavroula Rozou2, Alessandra Rossi1, Varvara Zoumpliou2, Dimitrios M Rekkas3.   

Abstract

This review aims in discussing the application of the Quality by Design (QbD) approach on the development of the Dry Powders Inhalers (DPIs). It starts with a thorough presentation of the Quality's concept evolution within the pharmaceutical sector and how this slowly adopted set of quality guidelines is now a major scientific and regulatory requirement. DPIs represent a type of delivery system where the system's thinking approach integrating the device, the formulation and the patient represent a major challenge to be met. Within this context this review points out the critical gaps in this optimization exercise and proposes a series of remedies in overcoming the obstacles when the system's parts are viewed alone and not as a whole. Statistical thinking and the corresponding tools are the means for successfully carrying out this purpose. QbD is not just another guideline to simply comply with. It is the ultimate scope of any pharmaceutical development effort, which is to fully understand and then consistently meet the patient's needs during the entire lifecycle of the product. QbD is focusing on delivering quality value to the patients without compromises in product's safety and effectiveness profile.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Design of Experiments; Dry powder inhalers; Orally inhaled drug products; Quality by Design; Risk analysis; System thinking

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Year:  2017        PMID: 29104067     DOI: 10.1016/j.ejps.2017.10.042

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


  2 in total

Review 1.  Quality-by-design in hot melt extrusion based amorphous solid dispersions: An industrial perspective on product development.

Authors:  Arun Butreddy; Suresh Bandari; Michael A Repka
Journal:  Eur J Pharm Sci       Date:  2020-11-28       Impact factor: 4.384

2.  A Strategy for the Effective Optimization of Pharmaceutical Formulations Based on Parameter-Optimized Support Vector Machine Model.

Authors:  Siqi Wang; Jianping Yang; Hengwei Chen; Kexin Chu; Xuefei Yu; Yaqiong Wei; Haixia Zhang; Mengjie Rui; Chunlai Feng
Journal:  AAPS PharmSciTech       Date:  2022-01-31       Impact factor: 3.246

  2 in total

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