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Related Concept Videos

Clinically Relevant Drug Product Specifications: Methods of Establishment01:29

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Product specifications define the acceptable quality of a pharmaceutical product by ensuring identity, purity, potency, and strength. These specifications serve as benchmarks during development, manufacturing, and post-approval quality control. Clinically relevant specifications are particularly important because they directly relate to a drug's safety and efficacy in clinical use.Dissolution studies are critical biopharmaceutic tools that link in vitro behavior to in vivo performance. They...
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Biopharmaceutical Factors Influencing Drug Product Design: Overview01:22

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Rational drug product design integrates knowledge of the drug’s physicochemical properties, formulation components, manufacturing techniques, and intended route of administration. Each factor influences the drug’s performance, including how it is released, absorbed, and eliminated in the body.The physicochemical properties of a drug—such as solubility, stability, and particle size—affect its compatibility with excipients and the choice of dosage form. Excipients, though...
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In Vitro Drug Release Testing: Overview, Development and Validation01:10

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In vitro dissolution and drug release tests assess how quickly and how much of a drug is released from its dosage form into an aqueous medium under standardized laboratory conditions. These tests are essential tools in pharmaceutical development and quality assurance, offering insight into the drug's performance before clinical use.During formulation development, dissolution testing identifies incomplete or inconsistent drug release issues. It also supports decisions on selecting the optimal...
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Drug Dissolution: Requirements and Profile Comparison01:14

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The acceptance criteria for dissolution profile data are anchored in Q values, representing the percentage of drug dissolved within a specified period. This assessment unfolds in three stages:First Stage: The test passes if all six drug dosage units are equal to or greater than Q plus 5%; otherwise, the sample proceeds to the second stage.Second Stage: The average of twelve units must be equal to or greater than Q, with no unit falling below Q - 15% to pass; if not, it progresses to the final...
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Pharmaceutical Alternatives: Excipients and Impurities-Related Therapeutic Nonequivalence01:19

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Pharmaceutical products contain more than just the active drug; they also contain various excipients such as binders, solubilizers, stabilizers, preservatives, and other elements. In some cases, impurities or contaminants might be present. Traditionally, quality control in pharmaceuticals has primarily focused on the analysis of the active drug, often overlooking the impact of these additional components. The recent issue with heparin contamination by over-sulfated chondroitin sulfate, a...
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Drug Product Performance: In Vitro–In Vivo Correlation01:20

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In pharmaceutical development, it's crucial to establish a predictive in vitro–in vivo correlation (IVIVC) for two or more formulations to gain a comprehensive understanding of release properties. IVIVC reduces the need for costly in vivo studies and facilitates the establishment of meaningful dissolution specifications with significant cost savings and decreased regulatory burden. Furthermore, a meaningful IVIVC should predict Cmax and AUC within 20%, aligning with FDA guidance while...
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Reconciling Quality by Design and Transdermal Product Development.

Kenneth Miller1

  • 1ISYN Consulting LLC, Melrose, FL 32666, USA.

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Quality by Design (QbD) is a framework for organizing and presenting product development data, not a guide for the development process itself. It enhances regulatory review by standardizing information presentation.

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Area of Science:

  • Pharmaceutical Sciences
  • Drug Delivery Systems

Background:

  • Quality by Design (QbD) is often perceived as a prescriptive guide for product development.
  • The author's decade-long experience with QbD in transdermal system development revealed a different utility.

Discussion:

  • QbD functions as a standardized language for organizing and presenting data crucial for product approval.
  • It provides a consistent framework for internal and regulatory communication.
  • QbD does not dictate the experimental approach, leaving that to the developer's expertise.

Key Insights:

  • QbD's primary value lies in its ability to structure and communicate complex data sets.
  • It facilitates a more uniform and complete submission process for new products.
  • The framework aids in both internal decision-making and regulatory interactions.

Outlook:

  • Future applications of QbD will likely focus on its role in data harmonization and regulatory efficiency.
  • Further exploration into how QbD principles can best support innovative experimental designs is warranted.