What question did this study set out to answer?

To review the theoretical principles, practical workflows, and statistical advantages of using Design of Experiments within a Quality by Design framework for pharmaceutical product development.

January 1, 2019Asian Journal of Pharmacy and TechnologyOpen Access

Understanding of DoE and its advantages in Pharmaceutical development as per QbD Approach

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To review the theoretical principles, practical workflows, and statistical advantages of using Design of Experiments within a Quality by Design framework for pharmaceutical product development.
Examined screening, advanced screening, and optimization experimental design methodologies in drug product formulation.
Evaluated core statistical modeling tools including analysis of variance (ANOVA), regression analysis, residual diagnostics, curvature assessment, and design space construction.
Established a framework to simultaneously link critical material attributes (CMAs) and critical process parameters (CPPs) to critical quality attributes (CQAs).
Demonstrated how Pareto charts, lack-of-fit testing, coefficient of determination (R2), and multiple response prediction improve formulation decision-making.

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Implication

Review demonstrates systematic experimental design workflows in pharmaceutical formulation, highlighting statistical optimization of critical quality attributes.

Cite This Study

Yogita M. Kolekar (2019) studied this question.

synapsesocial.com/papers/6ab241e70a6415c0eba03a84 https://doi.org/10.5958/2231-5713.2019.00045.x

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Implication

Review demonstrates systematic experimental design workflows in pharmaceutical formulation, highlighting statistical optimization of critical quality attributes.

Understanding of DoE and its advantages in Pharmaceutical development as per QbD Approach

Key Points

Discussion

Implication

Cite This Study

Understanding of DoE and its advantages in Pharmaceutical development as per QbD Approach

Key Points

Discussion

Implication

Cite This Study

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