Perspectives in modeling and model validation during analytical quality by design chromatographic method evaluation: a case study

Perspectives in modeling and model validation during analytical quality by design chromatographic method evaluation: a case study

Abstract Design of experiments (DOE)-based analytical quality by design (AQbD) method evaluation, development, and validation is gaining momentum and has the potential to create robust chromatographic methods through deeper understanding and control of variability. In this paper, a case study is use...

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Bibliographic Details
Main Authors: Yongzhi Dong, Zhimin Liu, Charles Li, Emily Pinter, Alan Potts, Tanya Tadey, William Weiser
Format: Article
Language:English
Published: SpringerOpen 2021-09-01
Series:AAPS Open
Subjects:
AQbD
DOE
MODR
Statistical model validation
Scientific model validation
Multiple responses optimization
Online Access:https://doi.org/10.1186/s41120-021-00037-y

Internet

https://doi.org/10.1186/s41120-021-00037-y

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