Quality by Design and In Silico Approach in SNEDDS Development: A Comprehensive Formulation Framework
Sani Ega Priani1,2, Taufik Muhammad Fakih2, Gofarana Wilar3
1Doctoral Program of Pharmacy, Faculty of Pharmacy, Universitas Padjadjaran, Sumedang 45363, Indonesia.
Pharmaceutics
|June 27, 2025
Summary
Quality by Design (QbD), Design of Experiments (DoE), and in silico methods streamline Self-Nanoemulsifying Drug Delivery System (SNEDDS) development. These approaches ensure robust, reproducible SNEDDS formulations for improved drug delivery.
Area of Science:
- Pharmaceutical Sciences
- Drug Delivery Systems
- Formulation Development
Background:
- Self-Nanoemulsifying Drug Delivery Systems (SNEDDS) are crucial for oral delivery of poorly water-soluble drugs.
- SNEDDS formulation success hinges on precise component selection and control.
- This review analyzes advanced methodologies for optimizing SNEDDS development.
Purpose of the Study:
- To provide an in-depth analysis of Quality by Design (QbD), Design of Experiments (DoE), and in silico approaches in SNEDDS development.
- To highlight how these strategies enhance the quality, robustness, and reproducibility of SNEDDS formulations.
- To explore the integration of these methods for rational and efficient SNEDDS optimization.
Main Methods:
- Literature review of publications from 2020-2025 from major scientific databases (PubMed, ScienceDirect, Taylor & Francis, Scopus).
- Analysis of QbD principles, DoE methodologies (mixture, response surface, factorial designs), and in silico tools (molecular simulations, machine learning).
- Evaluation of the application of these methods in optimizing Critical Quality Attributes (CQAs) based on Critical Material Attributes (CMAs) and Critical Process Parameters (CPPs).
Main Results:
- QbD ensures SNEDDS robustness and reproducibility through a systematic approach, guided by the Quality Target Product Profile (QTPP).
- DoE effectively maps the relationship between CMAs/CPPs and CQAs, identifying optimal SNEDDS formulations with improved biopharmaceutical properties.
- In silico approaches provide molecular-level insights into self-assembly and emulsification, enabling predictive and efficient formulation optimization.
Conclusions:
- Integrating QbD, DoE, and in silico methods offers a powerful, systematic strategy for SNEDDS development.
- These combined approaches facilitate a more rational, efficient, and predictive formulation process for enhanced drug delivery.
- The application of these advanced methodologies holds significant potential for the future of SNEDDS formulation.
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