| Literature DB >> 18431675 |
Matthew Bonam1, David Christopher, David Cipolla, Brent Donovan, David Goodwin, Susan Holmes, Svetlana Lyapustina, Jolyon Mitchell, Steve Nichols, Gunilla Pettersson, Chris Quale, Nagaraja Rao, Dilraj Singh, Terrence Tougas, Mike Van Oort, Bernd Walther, Bruce Wyka.
Abstract
The purpose of this article is to catalogue in a systematic way the available information about factors that may influence the outcome and variability of cascade impactor (CI) measurements of pharmaceutical aerosols for inhalation, such as those obtained from metered dose inhalers (MDIs), dry powder inhalers (DPIs) or products for nebulization; and to suggest ways to minimize the influence of such factors. To accomplish this task, the authors constructed a cause-and-effect Ishikawa diagram for a CI measurement and considered the influence of each root cause based on industry experience and thorough literature review. The results illustrate the intricate network of underlying causes of CI variability, with the potential for several multi-way statistical interactions. It was also found that significantly more quantitative information exists about impactor-related causes than about operator-derived influences, the contribution of drug assay methodology and product-related causes, suggesting a need for further research in those areas. The understanding and awareness of all these factors should aid in the development of optimized CI methods and appropriate quality control measures for aerodynamic particle size distribution (APSD) of pharmaceutical aerosols, in line with the current regulatory initiatives involving quality-by-design (QbD).Mesh:
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Year: 2008 PMID: 18431675 PMCID: PMC2976949 DOI: 10.1208/s12249-008-9045-9
Source DB: PubMed Journal: AAPS PharmSciTech ISSN: 1530-9932 Impact factor: 3.246