3.1 Diffusion (3)
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1.
Investigate the factors that influence diffusion. Describe how surface area, concentration gradient, temperature, and distance affect the rate of diffusion. Use examples to illustrate your points.
Diffusion is the net movement of particles from a region of high concentration to a region of low concentration. Several factors influence the rate of diffusion:
- Surface Area: A larger surface area allows for more particles to diffuse across the membrane simultaneously, increasing the overall rate. For example, in the lungs, alveoli have a vast surface area to facilitate rapid oxygen diffusion into the blood.
- Concentration Gradient: The steeper the concentration gradient (the greater the difference in concentration), the faster the rate of diffusion. A larger difference in concentration drives particles more rapidly from the high concentration area to the low concentration area.
- Temperature: Higher temperatures increase the kinetic energy of particles. This means particles move faster and collide more frequently, leading to a faster rate of diffusion. However, very high temperatures can damage biological molecules, so there's an optimal temperature range.
- Distance: The shorter the distance the particles need to travel, the faster the rate of diffusion. The time it takes for particles to diffuse is inversely proportional to the distance.
These factors often work together. For instance, a larger surface area with a steep concentration gradient and a moderate temperature will result in the fastest rate of diffusion.
2.
Describe the relationship between the kinetic energy of particles and the rate of diffusion. Explain your answer.
The rate of diffusion is directly proportional to the kinetic energy of the particles. This means that as the kinetic energy of the particles increases, the rate of diffusion also increases.
This is because higher kinetic energy results in faster and more frequent collisions between particles. These collisions facilitate the movement of particles from areas of high concentration to areas of low concentration. Particles with higher kinetic energy are more likely to overcome resistance and move quickly, leading to a faster overall rate of diffusion. Conversely, lower kinetic energy results in slower movement and a slower rate of diffusion.
3.
A student is investigating the effect of temperature on the rate of diffusion of oxygen across a membrane in a controlled experiment. Describe a suitable experimental method, including the variables that need to be controlled and measured. Explain how the student should analyse their results to determine the relationship between temperature and diffusion rate.
Experimental Method:
- Set up: Prepare a diffusion apparatus. This could involve a container with a semi-permeable membrane (e.g., potato or dialysis tubing) containing a solution of a colored dye (e.g., potassium permanganate). Place the container in a water bath.
- Temperature Control: Use a water bath maintained at different constant temperatures (e.g., 10°C, 20°C, 30°C, 40°C). Ensure the water bath is well-insulated to maintain a stable temperature.
- Variable to Measure: Measure the time it takes for the colored dye to diffuse out of the membrane into the surrounding water. This can be done by marking the level of the dye in the water bath at regular time intervals.
- Control Variables:
- Concentration of dye: Use the same concentration of dye in each trial.
- Size of membrane: Use membranes of the same size and material.
- Volume of solution: Use the same volume of solution in each trial.
- Temperature: Maintain constant temperatures for each trial.
- Replicates: Repeat the experiment multiple times (at least three) for each temperature to ensure reliability.
Analysis:
The time taken for the dye to diffuse will be plotted against the temperature. The results should show a positive correlation – as the temperature increases, the diffusion time decreases (the rate of diffusion increases). A graph of time (y-axis) versus temperature (x-axis) would be appropriate. The slope of the line can be used to quantify the relationship. Statistical analysis (e.g., calculating the mean and standard deviation) should be performed to assess the reliability of the results.