Process Analytical Technology Integration in 3D Printing Processes: Benefits and Challenges

Le résumé fourni par la source

Three-dimensional printing (3DP) manufacturing technologies will transform pharmaceutical industry, offering the ability to produce personalized medicine and complex dosage forms with diverse geometries, with the advantage of on-demand dispensing. Maintaining consistent product quality and regulatory compliance pose major challenges in the current landscape due to the inherent variability and multivariate complexity of 3DP. Employing Process Analytical Technology (PAT) with Quality by Design (QbD) and continuous manufacturing (CM) principles provides the necessary framework for real-time monitoring (RTM), control, and understanding of critical process parameters and quality attributes. As a result, key PAT tools are now applied to various 3DP processes such as extrusion-based printing, powder bed fusion, and inkjet printing, utilizing spectroscopic, thermal, imaging, and emerging sensing technologies. Data generated from these tools are further processed using chemometric models, machine learning (ML), and multivariate data analysis for real-time decision-making and closed-loop control, thus enabling smart manufacturing. Although progress has been made, certain challenges remain regarding PAT, model transferability, validation, scalability, data management, and regulatory issues. This promotes a continuously evolving landscape for implementing PAT in 3DP that supports standardization, real-time release testing (RTRT), and lifecycle management. Emerging technologies focus on combining PAT with artificial intelligence (AI), digital twins, and automated feedback systems to develop self-regulating, adaptive 3DP platforms. This review highlights PAT's role as a key element in advancing pharmaceutical 3DP from experimental applications to robust, scalable, and regulatory-compliant manufacturing, offering a comprehensive overview of current technologies, data analytics, regulatory issues, challenges, and future directions in the field.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.