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Related Concept Videos

Factors Affecting Dissolution: Particle Size and Effective Surface Area01:23

Factors Affecting Dissolution: Particle Size and Effective Surface Area

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Dissolution kinetics, an essential aspect of oral drug delivery, is significantly influenced by the drug's particle size. According to the Noyes-Whitney dissolution model, the dissolution rate correlates directly with the drug's surface area. The larger the surface area, the higher the drug's solubility in water, leading to a faster drug dissolution rate. Reducing particle size increases the effective surface area, enhancing the dissolution process. Micronization and nanosizing are...
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Factors Affecting Dissolution: Drug Permeability, Stability and Stereochemistry01:20

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Orally administered drugs primarily enter the systemic circulation via passive diffusion through the intestinal membranes. The drug's absorption is influenced by drug stability in the gastrointestinal GI tract, membrane permeability, the surface area available for absorption, luminal drug concentration, and residence time in the lumen. Drug permeability can be enhanced by adjusting the lipophilicity, polarity, or molecular size of the drug, promoting its passive transport across intestinal...
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Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

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Dissolution, the process by which drug particles dissolve in a solvent, is explained by the diffusion layer model, a theoretical framework that simulates the absorption of oral drugs and allows us to analyze experimental data.
This process starts with a thin layer, saturated with the drug, forming at the interface between the solid and liquid. The solute then diffuses from this layer into the main solution. The Noyes-Whitney equation suggests that the rate of dissolution relies on the diffusion...
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Factors Affecting Dissolution: Drug pKa, Lipophilicity and GI pH01:21

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Drug absorption within the gastrointestinal (GI) tract is a complex process influenced by several critical factors, including the site pH, the drug's dissociation constant (pKa), and the drug's lipophilicity. The GI tract exhibits a pH gradient, with an acidic environment in the stomach and a more alkaline environment in the small intestine. This pH variation directly affects the ionization state of drugs.
A drug's pKa and the pH of the gastrointestinal (GI) tract play crucial roles...
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Factors Influencing Drug Absorption: Drug Dissolution01:27

Factors Influencing Drug Absorption: Drug Dissolution

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The pharmacokinetic journey of drugs from solid oral dosage forms into systemic circulation is multifaceted. It begins with disintegration, a prerequisite ensuring a solid dosage form's subdivision into minute particles. Dissolution occurs next as these granulated entities solubilize in gastrointestinal fluids. This solubilization is crucial for the succeeding stage, permeation, which describes the traversal of the drug across the intestinal membrane and its subsequent entry into the blood...
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Noncompartmental Analysis: Mean Transit, Absorption and Dissolution Time01:02

Noncompartmental Analysis: Mean Transit, Absorption and Dissolution Time

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When drugs are administered extravascularly, a comprehensive evaluation through noncompartmental analysis becomes imperative. This analytical approach considers various parameters that play a crucial role in understanding the pharmacokinetics of these drugs.
One of the key parameters is the mean transit time (MTT), which refers to the total duration required for drug molecules to transit through the body. MTT is determined by calculating the ratio of the area under the moment curve to the area...
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In vitro dissolution profile comparison using bootstrap bias corrected similarity factor, f2.

Shaobo Liu1, Xiaoyu Cai1, Meiyu Shen1

  • 1Division of Biometrics VI, Office of Biostatistics, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, Maryland, USA.

Journal of Biopharmaceutical Statistics
|January 30, 2023
PubMed
Summary

The similarity factor (f2) is crucial for comparing drug dissolution profiles and assessing bioequivalence. A new bootstrap bias-corrected (BC) f2 method offers improved control over statistical errors and better test power compared to existing methods.

Keywords:
Dissolution profile comparisonbias correctionbootstrap confidence intervalsimilarity factor

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Area of Science:

  • Pharmaceutical Sciences
  • Biostatistics
  • Drug Development

Background:

  • In vitro dissolution profiles are key predictors of drug absorption and in vitro bioequivalence.
  • The similarity factor (f2) is widely used for comparing dissolution profiles, despite lacking inferential statistical properties.

Purpose of the Study:

  • To evaluate the performance of different methods for comparing dissolution profiles, including naive f2 estimation, bootstrap f2 confidence intervals, and bias-corrected-accelerated (BCa) bootstrap f2 confidence intervals.
  • To propose and validate a novel bootstrap bias-corrected (BC) f2 confidence interval method.

Main Methods:

  • Comparative analysis of naive f2 estimation, bootstrap f2 CI, and BCa bootstrap f2 CI methods.
  • Simulation studies to assess Type I error rate, power, and sensitivity of different f2 methods.
  • Introduction and evaluation of the proposed bootstrap BC f2 confidence interval method.

Main Results:

  • Naive f2 estimation and BCa bootstrap f2 CI methods fail to adequately control the Type I error rate.
  • Standard bootstrap f2 CI controls Type I error but leads to overly conservative tests (reduced power).
  • The proposed bootstrap BC f2 CI method demonstrates superior Type I error control and enhanced test power compared to existing approaches.

Conclusions:

  • The bootstrap BC f2 confidence interval method is recommended for comparing dissolution profiles due to its improved statistical performance.
  • This new method addresses limitations of current f2-based approaches, offering more reliable bioequivalence assessments.
  • The findings contribute to more robust in vitro bioequivalence evaluations in pharmaceutical development.