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Published on: February 3, 2023
A QbD Approach for the Formulation and Control of Triclabendazole in Uncoated Tablets: From Polymorphs to Drug
Lucas P Muzi1, Marina Antonio1, Rubén M Maggio1
1Área de Análisis de Medicamentos, Facultad de Ciencias Bioquímicas y Farmacéuticas, Universidad Nacional de Rosario and Instituto de Química Rosario (IQUIR, CONICET-UNR), Suipacha 531, Rosario S2002LRK, Argentina.
Quality by Design (QbD) optimized triclabendazole (TCB) tablet development. The study identified polymorphic purity and cornstarch as critical factors influencing TCB dissolution, enabling precise formulation control.
Area of Science:
- Pharmaceutical Sciences
- Drug Delivery Systems
- Analytical Chemistry
Background:
- Fascioliasis, a neglected tropical disease, is treated with triclabendazole (TCB).
- Optimizing TCB immediate-release tablet formulations requires understanding critical material attributes (CMAs) and critical process parameters (CPPs).
- Quality by Design (QbD) principles offer a systematic approach to pharmaceutical development and process control.
Purpose of the Study:
- To apply QbD principles for investigating the impact of TCB polymorphism and pharmacotechnical variables on immediate-release tablet development.
- To identify critical process parameters (CPPs) and critical material attributes (CMAs) affecting TCB tablet dissolution.
- To develop predictive models for TCB dissolution behavior and establish a green analytical method for CPP analysis.
Main Methods:
- Screening of CPPs and CMAs (polymorph type, excipients, compression force) using Plackett-Burman design.
- Development of a mathematical model linking CPPs to dissolution using multiple linear regression (MLR) and a central composite design.
- Establishment of a near-infrared spectroscopy coupled to partial least squares (NIR-PLSs) method for CPP analysis.
Main Results:
- Polymorphic purity and cornstarch were identified as critical process parameters (CPPs).
- The developed NIR-PLSs model accurately predicted CPPs in new samples (100 ± 3%).
- MLR dissolution predictions closely matched actual dissolution profiles (f2 = 85), validating the predictive model.
Conclusions:
- The integrated QbD approach provides a robust framework for TCB tablet formulation development and control.
- The study successfully linked TCB polymorphic composition and processing parameters to dissolution outcomes.
- The developed models serve as valuable tools for ensuring consistent pharmaceutical quality and targeted drug release.
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