Review on polymer selection and optimization of matrix tablets using systematic formulation strategies

Abstract

Despite the widespread use of polymeric matrix tablets for controlled and sustained drug release, rational selection and optimization of polymers remain challenging due to the complex influence of multiple formulation variables and their interactions. Although numerous polymers have been investigated for matrix tablets development, systematic approaches that efficiently evaluate their individual and interactive effects are required to improve formulation robustness. In this context, the present review focuses on the application of factorial design based experimental approaches in the formulation and optimization of polymeric matrix tablets. Studies employing 2², 3², and higher-order factorial designs are critically examined to demonstrate how polymer type, polymer concentration, and excipient interactions influence drug-release kinetics and critical quality attributes. The review highlights how factorial design facilitates identification of significant formulation variables, reduces experimental trials, and supports data-driven optimization of matrix tablets, thereby serving as a valuable tool for rational and efficient sustained-release formulation development