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Related Concept Videos

Diffusion01:12

Diffusion

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...
Diffusion01:21

Diffusion

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...
Passive Diffusion: Overview and Kinetics01:17

Passive Diffusion: Overview and Kinetics

Passive diffusion is a critical process that allows small lipophilic drugs to cross the cell membrane along a concentration gradient. This mechanism's efficiency depends on four primary factors: the membrane's surface area, the drug's lipid-water partition coefficient, the concentration gradient, and the membrane's thickness.
When administered orally, drugs establish a substantial concentration gradient between the gastrointestinal (GI) lumen and the bloodstream, expediting their diffusion into...
Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...
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Diffusion on Chromatography Columns

In column chromatography, when an analyte is introduced as a narrow band at the top of the column, the solutes begin to separate and broaden, developing a Gaussian profile. This broadening occurs due to various factors, such as longitudinal diffusion.
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Extraction: Partition and Distribution Coefficients01:14

Extraction: Partition and Distribution Coefficients

The distribution law or Nernst's distribution law is the law that governs the distribution of a solute between two immiscible solvents. This law, also known as the partition law, states that if a solute is added to the mixture of two immiscible solvents at a constant temperature, the solute is distributed between the two solvents in such a way that the ratio of solute concentrations in the solvents remains constant at equilibrium.
For extracting a solute from an aqueous phase into an organic...

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Image Processing Protocol for the Analysis of the Diffusion and Cluster Size of Membrane Receptors by Fluorescence Microscopy
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Published on: April 9, 2019

Diffusion coefficient and its dependency on some biochemical factors.

M Onuma1, T Omura, T Umita

  • 1Department of Civil Engineering, Iwate University, Ueda 4-3-5, Morioka, Japan.

Biotechnology and Bioengineering
|November 1, 1985
PubMed
Summary

This study measured how glucose and oxygen move through microbial aggregates. The researchers found that the rate of movement depends on the concentration of bacteria and the C/N ratio of the aggregate. At high bacterial concentrations, the movement rate was lower than in water. At low concentrations, the rate was nearly the same as in water. The study also showed that temperature affects these rates. These findings help explain how microbial aggregates influence transport processes in environments like bioreactors.

Keywords:
diffusion coefficientmicrobial aggregatebiochemical factorstransport phenomenaenvironmental microbiology

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Area of Science:

  • Environmental microbiology
  • Biological transport phenomena
  • Biochemical engineering

Background:

Prior research has shown that diffusion processes in microbial systems are influenced by environmental conditions. However, the specific impact of bacterial concentration and C/N ratio on diffusion coefficients remains unclear. Established knowledge includes the general role of temperature in transport phenomena. No prior work had resolved how these factors interact in microbial aggregates. This uncertainty motivated further investigation into transport dynamics. It was already known that microbial aggregates alter fluid properties. Yet, the extent of this alteration at different bacterial concentrations is not well established. This gap motivated the current study to explore diffusion behavior under controlled conditions. The need for precise data on diffusion in microbial systems is driven by applications in biotechnology and environmental science.

Purpose Of The Study:

This study aimed to measure diffusion coefficients for glucose and oxygen in microbial aggregates. The goal was to determine how these coefficients change with bacterial concentration and C/N ratio. The researchers sought to clarify the role of temperature in these processes. They wanted to distinguish between high and low bacterial concentration effects. The motivation stemmed from the need to understand transport limitations in bioreactors. By isolating variables, the study aimed to provide clearer insights into microbial aggregate behavior. The focus was on quantifying how biochemical factors influence diffusion rates. This approach allows for better modeling of microbial systems in controlled environments.

Main Methods:

The researchers conducted kinetic and diffusion experiments to measure transport rates. They used microbial aggregates as the primary sample material for analysis. The study controlled temperature at 20 +/- 2 degrees Celsius for consistency. Two key substances were tracked: glucose and oxygen. Bacterial concentration was varied to observe its impact on diffusion. The C/N ratio was manipulated to assess its influence on transport coefficients. Experimental conditions were carefully monitored to ensure reproducibility. Data collection focused on quantifying how these factors alter diffusion behavior.

Main Results:

At high bacterial concentrations, diffusion coefficients were 86-95% of those in water. At low concentrations, the coefficients reached nearly 100% of water values. The C/N ratio significantly affected transport at high bacterial levels. Temperature changes were also found to influence diffusion rates. These findings suggest a strong dependency on aggregate properties. The results highlight the importance of microbial density in transport dynamics. The study revealed that biochemical factors interact in complex ways. These outcomes provide a clearer picture of transport limitations in microbial systems.

Conclusions:

The study shows that diffusion coefficients depend on bacterial concentration and C/N ratio. At high concentrations, transport rates decrease compared to water values. Temperature plays a role in altering these coefficients. The findings suggest that microbial aggregates modify transport behavior. These results support the idea that aggregate structure affects diffusion. The authors propose that these factors should be considered in bioreactor design. The study does not claim these are the only influencing variables. The implications are limited to the observed experimental conditions.

At high bacterial concentrations, diffusion coefficients for glucose and oxygen are 86-95% of water values. At low concentrations, they are nearly 100% of water values.

The C/N ratio significantly affects transport coefficients at high bacterial concentrations but not at low concentrations.

To isolate the effects of bacterial concentration and C/N ratio without temperature variation influencing results.

They serve as model substances to measure diffusion rates through microbial aggregates.

It provides a baseline to assess how microbial aggregates alter transport behavior.

The researchers propose that temperature influences diffusion coefficients in microbial aggregates.