Literature DB >> 21161338

Statistical thinking and knowledge management for quality-driven design and manufacturing in pharmaceuticals.

Evdokia Korakianiti1, Dimitrios Rekkas.   

Abstract

The purpose of this article is to present the evolution of quality principles and how they have been implemented in the pharmaceutical industry. The article discusses the challenges that the FDA PAT Guidance and the ICH Q8, Q9 and Q10 Guidelines present to industry and provides a comprehensive overview of the basic tools that can be used to effectively build quality into products. The principles of the design of experiments, the main tools for statistical process analysis and control, and the requisite culture change necessary to facilitate statistical, knowledge-based management are also addressed.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 21161338     DOI: 10.1007/s11095-010-0315-3

Source DB:  PubMed          Journal:  Pharm Res        ISSN: 0724-8741            Impact factor:   4.200


  5 in total

1.  The new meaning of quality in the information age.

Authors:  C K Prahalad; M S Krishnan
Journal:  Harv Bus Rev       Date:  1999 Sep-Oct

Review 2.  Statistical process control as a tool for research and healthcare improvement.

Authors:  J C Benneyan; R C Lloyd; P E Plsek
Journal:  Qual Saf Health Care       Date:  2003-12

3.  International Conference on Harmonisation; guidance on Q6A specifications: test procedures and acceptance criteria for new drug substances and new drug products: chemical substances. Notice.

Authors: 
Journal:  Fed Regist       Date:  2000-12-29

4.  Using statistical process control to improve the quality of health care.

Authors:  M A Mohammed
Journal:  Qual Saf Health Care       Date:  2004-08

5.  Pharmaceutical quality by design: product and process development, understanding, and control.

Authors:  Lawrence X Yu
Journal:  Pharm Res       Date:  2008-01-10       Impact factor: 4.200

  5 in total
  7 in total

1.  Quality-by-design: are we there yet?

Authors:  Jack Cook; Maria T Cruañes; Manish Gupta; Steve Riley; John Crison
Journal:  AAPS PharmSciTech       Date:  2013-11-12       Impact factor: 3.246

2.  The evolution of the manufacturing science and the pharmaceutical industry.

Authors:  Stavros N Politis; Dimitrios M Rekkas
Journal:  Pharm Res       Date:  2011-05-17       Impact factor: 4.200

3.  Statistical comparison of dissolution profiles to predict the bioequivalence of extended release formulations.

Authors:  J D Gomez-Mantilla; U F Schaefer; V G Casabo; T Lehr; C M Lehr
Journal:  AAPS J       Date:  2014-05-23       Impact factor: 4.009

Review 4.  Lipid-Based Nanocarriers for Ophthalmic Administration: Towards Experimental Design Implementation.

Authors:  Felipe M González-Fernández; Annalisa Bianchera; Paolo Gasco; Sara Nicoli; Silvia Pescina
Journal:  Pharmaceutics       Date:  2021-03-26       Impact factor: 6.321

5.  Design space development for the extraction process of Danhong injection using a Monte Carlo simulation method.

Authors:  Xingchu Gong; Yao Li; Huali Chen; Haibin Qu
Journal:  PLoS One       Date:  2015-05-28       Impact factor: 3.240

6.  Quality-by-Design Principles Applied to the Establishment of a Pharmaceutical Quality Control Laboratory in a Resource-Limited Setting: The Lab Water.

Authors:  Sultan Suleman; Sileshi Belew; Dereje Kebebe; Markos Duguma; Henok Teshome; Gemmechu Hasen; Luc Duchateau; Bart De Spiegeleer
Journal:  Int J Anal Chem       Date:  2022-04-21       Impact factor: 1.698

7.  Unit operation optimization for the manufacturing of botanical injections using a design space approach: a case study of water precipitation.

Authors:  Xingchu Gong; Huali Chen; Teng Chen; Haibin Qu
Journal:  PLoS One       Date:  2014-08-07       Impact factor: 3.240

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.