Noyes Whitney Model
Noyes Whitney Model - Related Videos
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Molecular Models
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2020
Physical models representing molecular architectures of chemical compounds play essential roles in understanding chemistry. The use of molecular models makes it easier to visualize the structures and shapes of atoms and molecules. Skeletal Model Simpler two-dimensional representations of chemical compounds are accomplished using skeletal models. The illustration shows only the molecular framework or bonds without explicitly showing the atoms. In this representation, many of the carbon atoms...
FAQs
Reducing particle size can increase the total surface area exposed to the surrounding fluid. Because surface area is a positive factor in the model, more solute can contact the fluid at the same time, increasing the predicted dissolution rate. This principle helps formulation scientists interpret why particle-size changes may alter drug release during development and dissolution comparisons.
The model assigns an inverse role to the stagnant diffusion-layer thickness. A thicker layer creates a longer path for dissolved solute to move into the bulk fluid, so the predicted rate falls. Agitation is therefore an important test or formulation condition to consider because it can influence the environment surrounding dissolving particles and affect observed release behavior.
Solubility affects dissolution through the concentration gradient between the particle surface and the bulk solution. A difference in concentration provides the driving condition represented by the model, whereas changes in solubility can alter that difference. Considering solubility alongside surface area and diffusion helps explain why formulation changes may produce different dissolution behavior.
Dissolution testing can examine how formulation changes alter the rate at which a solid drug enters fluid. Using the model as an interpretive framework, researchers can relate differences in observed release to variables such as particle size, solubility, agitation, surface area, or diffusion-layer conditions. This supports structured comparisons among candidate formulations rather than relying only on dosage-form composition.
Application requires consideration of the properties and conditions that the model identifies as rate controlling: exposed surface area, diffusion coefficient, concentration gradient, diffusion-layer thickness, solubility, agitation, and dosage-form design. Evaluating these factors together helps explain whether a formulation change is likely to increase or decrease dissolution and provides a basis for comparative testing.
Dissolution can influence how much drug becomes available in fluid before absorption is considered. In clinical formulation, the model helps researchers assess how particle size, solubility, agitation, and dosage-form design may affect drug release, then consider how those changes could influence oral drug absorption. It therefore connects laboratory dissolution behavior with an important question in clinical drug development.