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Polymers02:34

Polymers

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The word polymer is derived from the Greek words “poly” which means “many” and “mer” which means “parts”. Polymers are long chains of molecules composed of repeating units of smaller molecules, known as monomers. They either occur naturally, such as DNA and proteins, or can be constructed synthetically, like plastics. They have varied structural characteristics, such as linear chains, branched chains, or complex networks, that contribute to the...
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Polymers02:34

Polymers

23.4K
No description available
23.4K
Diffusion01:12

Diffusion

221.0K
Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
221.0K
Diffusion01:21

Diffusion

6.4K
Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
6.4K
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...
1.8K
Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

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Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
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Author Spotlight: Metallic Nanocomposites to Eliminate Antibiotic-Resistant Bacteria
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Modeling diffusion in foamed polymer nanocomposites.

Sandeep Ippalapalli1, A Dileep Ranaprathapan, Sachchida N Singh

  • 1Department of Chemical Engineering, Indian Institute of Technology Kharagpur, West Bengal, 721302, India.

Chemphyschem : a European Journal of Chemical Physics and Physical Chemistry
|March 7, 2013
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Summary
This summary is machine-generated.

Nanofillers in polymeric nanocomposite foams alter gas diffusion, impacting thermal conductivity. This study models diffusion, showing good agreement with experiments for low and medium aspect-ratio fillers.

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Area of Science:

  • Materials Science
  • Chemical Engineering
  • Polymer Science

Background:

  • Polymeric nanocomposite foams are used in various applications requiring controlled gas diffusion.
  • Understanding diffusion dynamics is crucial for predicting material performance and longevity.
  • Nanofillers significantly influence gas transport properties in polymer matrices.

Purpose of the Study:

  • To investigate two-way multicomponent diffusion in polymeric nanocomposite foams.
  • To model the impact of nanofillers on gas diffusion rates and thermal conductivity.
  • To compare simulation predictions with experimental data under accelerated diffusion conditions.

Main Methods:

  • A continuum approach combining unsteady-state diffusion with tortuosity theory was employed.
  • Simulations were conducted at ambient and elevated temperatures.
  • Thermal conductivity measurements were used to track compositional changes during accelerated diffusion.

Main Results:

  • Nanofillers were found to reduce the gas-transport rate in nanocomposite foams, creating distinct diffusion regimes.
  • Simulations showed good agreement with experimental thermal conductivities for foams with low and medium aspect-ratio fillers.
  • Higher deviations were observed for foams reinforced with high aspect-ratio fillers.

Conclusions:

  • The developed model accurately predicts diffusion behavior in nanocomposite foams for specific filler geometries.
  • Nanofiller aspect ratio is a critical parameter influencing the accuracy of diffusion modeling.
  • This research provides insights into tailoring nanocomposite foam properties for specific applications.