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<p><i>In vitro</i> dissolution testing is commonly performed to ensure that oral solid dosage medicines are of high quality and will achieve their targeted <i>in vivo</i> performance. However, this testing is time and material consuming. Therefore, pharmaceutical companies have been developing predictive dissolution models (PDMs) for drug product release based on fast at- and/or on-line measurements, including real-time release testing of dissolution (RTRT-D). Recently, PDMs have seen acceptance by major regulatory bodies as release tests for the dissolution critical quality attribute. In this paper, several methodologies are described to develop and validate a fit-for-purpose model, then to implement it as a surrogate release test for dissolution. These approaches are further exemplified by real-life case studies, which demonstrate that PDMs for release are not only viable but more sustainable than&#xa0;<i>in vitro</i> dissolution testing and can significantly accelerate drug product release. The rise of continuous manufacturing within the pharmaceutical industry further favors the implementation of real-time release testing. Therefore, a steep uptake of PDMs for release is expected once this methodology is globally accepted. To that end, it is advantageous for global regulators and pharmaceutical innovators to coalesce around a harmonized set of expectations for development, validation, implementation, and lifecycle of PDMs as part of drug product release testing.</p> Graphical Abstract <p></p>

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Dissolution of Oral Solid Dosage Formulations: Surrogate Models and Real-time Release

  • 期刊论文

  • 发表日期：

    2025年6月27日

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  • Melanie Dumarey,
  • Tessa M. Carducci,
  • Matthew J. Walworth,
  • Casey J. Smith,
  • Salvador García-Muñoz,
  • Sarah Nielsen,
  • Sylvaine Jacquart,
  • Ana Tavares da Silva,
  • Stan Altan,
  • Martin Otava,
  • Yanmei Lan,
  • Nikolay Zaborenko

摘要

In vitro dissolution testing is commonly performed to ensure that oral solid dosage medicines are of high quality and will achieve their targeted in vivo performance. However, this testing is time and material consuming. Therefore, pharmaceutical companies have been developing predictive dissolution models (PDMs) for drug product release based on fast at- and/or on-line measurements, including real-time release testing of dissolution (RTRT-D). Recently, PDMs have seen acceptance by major regulatory bodies as release tests for the dissolution critical quality attribute. In this paper, several methodologies are described to develop and validate a fit-for-purpose model, then to implement it as a surrogate release test for dissolution. These approaches are further exemplified by real-life case studies, which demonstrate that PDMs for release are not only viable but more sustainable than in vitro dissolution testing and can significantly accelerate drug product release. The rise of continuous manufacturing within the pharmaceutical industry further favors the implementation of real-time release testing. Therefore, a steep uptake of PDMs for release is expected once this methodology is globally accepted. To that end, it is advantageous for global regulators and pharmaceutical innovators to coalesce around a harmonized set of expectations for development, validation, implementation, and lifecycle of PDMs as part of drug product release testing.

Graphical Abstract