Title

Quality by design approach using multiple linear and logistic regression modeling enables microemulsion scale up

DOI

10.3390/molecules24112066

Document Type

Journal Article

Publication Date

5-30-2019

Publication Title

Molecules

Volume

24

Issue

11

Keywords

Microemulsions, Modeling, Quality by design (QbD)

Abstract

The development of pharmaceutical nanoformulations has accelerated over the past decade. However, the nano-sized drug carriers continue to meet substantial regulatory and clinical translation challenges. In order to address some of these key challenges in early development, we adopted a quality by design approach to develop robust predictive mathematical models for microemulsion formulation, manufacturing, and scale-up. The presented approach combined risk management, design of experiments, multiple linear regression (MLR), and logistic regression to identify a design space in which microemulsion colloidal properties were dependent solely upon microemulsion composition, thus facilitating scale-up operations. Developed MLR models predicted microemulsion diameter, polydispersity index (PDI), and diameter change over 30 days storage, while logistic regression models predicted the probability of a microemulsion passing quality control testing. A stable microemulsion formulation was identified and successfully scaled up tenfold to 1L without impacting droplet diameter, PDI, or stability.

Open Access

Gold

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