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Related Concept Videos

Factors Influencing Drug Absorption: Pharmaceutical Parameters01:28

Factors Influencing Drug Absorption: Pharmaceutical Parameters

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Solid dosage forms such as tablets and capsules undergo rigorous manufacturing processes to ensure stability and effectiveness. Their dissolution and absorption properties are influenced significantly by the choice of excipients (inactive ingredients that serve various roles in the formulation), and the methodology applied during production. The manufacturing parameters, such as compression force and granulation techniques, significantly affect dissolution rates. Elevated compression forces...
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The one-compartment model is a pharmacokinetic tool that models the body as a single, uniform compartment, facilitating the understanding of drug distribution and elimination. This model is particularly beneficial for intravenous (IV) bolus administration, where the drug rapidly circulates throughout the body.
The drug's presence in the body is defined by an equation representing the difference between the rates of drug entry and exit. Key parameters—elimination rate constant,...
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The two-compartment model for intravenous (IV) bolus administration illustrates drug distribution in the body, subdividing it into central and peripheral compartments. This model operates on the concept of two-compartment kinetics. The drug's plasma concentration shows a bi-exponential decline following IV bolus administration, signaling the presence of two disposition processes: distribution and elimination.
The disparity between drug input and the sum of drug transfer rates between...
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Compartment Models: Single-Compartment Model01:14

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The single-compartment model serves as a simplified representation of the human body. This model assumes that the body functions as a single, well-mixed open compartment. When a drug is administered intravenously, it enters the body and quickly distributes uniformly. The drug then undergoes biotransformation and elimination, ultimately leaving the body. The volume of this compartment is referred to as the apparent volume of distribution into which the drug can uniformly distribute. In this...
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Understanding drugs, drug products, and their performance in pharmaceutical science is pivotal. Drugs, whether simple molecules or complex compounds, are designed to interact with the body's biological systems to diagnose, treat, or prevent diseases. Drug products include various delivery systems such as tablets, capsules, injections, and inhalers. The performance of these drug products is gauged by their ability to deliver the active ingredient to the desired site of action at the...
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Exploring pharmaceutical powder behavior in commercial-scale bin blending: A DEM simulation study.

F Mostafaei1, B Benque1, P Doshi2

  • 1Research Center Pharmaceutical Engineering GmbH, Inffeldgasse 13, 8010, Graz, Austria.

European Journal of Pharmaceutical Sciences : Official Journal of the European Federation for Pharmaceutical Sciences
|November 3, 2024
PubMed
Summary
This summary is machine-generated.

Discrete Element Method (DEM) simulations optimize pharmaceutical bin blending. For cone blenders, baffles and frequent rotation direction changes improve blending. Hoop blenders benefit from increased inclination angles and rotational speed.

Keywords:
Commercial scaleDEM simulationPharmaceutical engineeringPowder blendingTumbling blender

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Area of Science:

  • Pharmaceutical Engineering
  • Powder Technology
  • Computational Fluid Dynamics

Background:

  • Bin blending is crucial in pharmaceutical manufacturing.
  • Optimizing large-scale blending is challenging due to cost.
  • Discrete Element Method (DEM) offers a simulation-based approach to study powder behavior.

Purpose of the Study:

  • Investigate powder blending in commercial-scale cone and hoop blenders using DEM.
  • Evaluate factors influencing blending efficiency in different blender types.
  • Calibrate DEM models with experimental data for accurate simulation.

Main Methods:

  • DEM simulations were employed to model the blending of two granulated powders.
  • DEM contact model parameters were calibrated using experimental compression and ring shear tests.
  • Simulations analyzed blending efficiency based on operational parameters like fill level, baffles, rotation, angle, and speed.

Main Results:

  • In cone blenders, introducing baffles and frequent changes in rotational direction significantly improved blending efficiency.
  • For hoop blenders, increasing the inclination angle and rotational speed enhanced blending performance.
  • DEM model output was validated against experimental data in one blending scenario.

Conclusions:

  • DEM simulations are a viable tool for optimizing pharmaceutical bin blending processes.
  • Specific operational adjustments in cone and hoop blenders can mitigate segregation and improve blend uniformity.
  • This study provides data-driven insights for enhancing powder blending in pharmaceutical production.