How Is the Capacitance of an Axon Modeled as a Capacitor Calculated?

AI Thread Summary
The capacitance of an axon, modeled as a parallel plate capacitor, is calculated using the formula C = k * Eo * A / d, where k is the dielectric constant, Eo is the vacuum permittivity, A is the plate area, and d is the thickness of the membrane. The dielectric constant for the axon membrane is 5, with a thickness of 1 x 10^-8 m and a plate area of 4.20 x 10^-6 m2. An initial calculation yielded a capacitance of 1.9E-8 F, but this was deemed incorrect. Concerns were raised about the accuracy of the electric permittivity and the significance of digits in the calculations. Proper attention to significant figures and unit consistency is essential for obtaining the correct capacitance value.
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Homework Statement


An axon is the relatively long tail-like part of a neuron, or nerve cell. The outer surface of the axon membrane (dielectric constant = 5, thickness = 1 10-8 m) is charged positively, and the inner portion is charged negatively. Thus, the membrane is a kind of capacitor. Assuming that an axon can be treated like a parallel plate capacitor with a plate area of 4.20 10-6 m2, what is its capacitance?


Homework Equations


C = k * Eo * A / d



The Attempt at a Solution


I used C = 5 * 8.85*10^-12 * 4.20*10^-6 / 1*10^-8 = 1.9E-8 F

However this is not the correct answer and I am perplexed as to why. Is Eo not 8.85*10^-12 or is d not just the thickness?
 
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So is this a parallel plate capacitor with with a dielectric in between? If so then you should be able to just use

C = \epsilon_r C_{vac}

where \epsilon_r is the dielectric constant. I think you may have used the wrong electric permitivity.
 
Maybe your units are incorrect.
 
I think the permittivity is correct, 8.85e-12 is the vacuum permittivity, and it was multipled by 5, the dielectric constant.

If you are doing this as a web-based problem, it's probably a matter of significant digits. Use more.
 
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