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Chapter 4 Lecture Biological Physics Nelson Updated 1 st Edition Slide 1-1 Random Walks, Friction & Diffusion (part II)

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  • Chapter 4 Lecture

    Biological PhysicsNelson

    Updated 1st Edition

    Slide 1-1

    Random Walks, Friction & Diffusion (part II)

  • Slide 1-2

    Important Dates

    • Extra class

    – Wednesday May 6th (Self Study)

    • Midterm report presentation

    – Tuesday May 12th (5th Period)

    – Presentation on Chapter 5 in book

    • See next slide

    • Final Report

    – Topic of you choice based on research

    papers related to biophysics

  • Slide 1-3

    Announcement: Midterm Presentations

    • Midterm presentation are Week 7/8

    – May 12th, 5th period (1620-1800)

    – Each group (3 students) will give a short 30

    min. prezi from 3 subsections:-

    5.1+5.3.x1; 5.2+5.3x2; and

    5.3.1, 5.3.2, 5.3.3, 5.3.4, 5.3.5

    (choose 3 –x1,x2)

    – Each student ~10 min. (template on GDrive)

    – Make mini-group-report (ShareLaTeX)

    • Deadline May 26th

  • Slide 1-4

    Biophysics quote

    Humans are to a large degree sensitive to energy fluxes rather

    than temperatures, which you can verify for yourself on a cold,

    dark morning in the outhouse of a mountain cabin equipped with

    wooden and metal toilet seats. Both seats are at the same

    temperature, but your backside, which is not a very good

    thermometer, is nevertheless very effective at telling you which is

    which.

    -Craig F. Bohren and Bruce A. Albrecht, Atmospheric

    Thermodynamics (Oxford University Press, New York, 1998).

  • Slide 1-5©1961. Used by permission of Dover Publications.

    Summary: Random Walks

  • Slide 1-6

    Outline

    • Brownian motion

    • Random walks

    • Diffusion

    • Friction

    • Three important equations, leading to the

    Fluctuation-Dissipation relation

  • Slide 1-7

    Homework

    1. Read 4.1.3:- Understand statement: “Random

    Walk is model independent!”

    2. Read 4.2:- What Einstein did?

    3. Make a diagram for 1D case of four steps

    4. Extra:- Are two elevator shafts better when

    stopping at odd and even floors only?

    • Assume the cost of the elevator is only to

    start and stop ~ 50 Yen per ride

  • Slide 1-8

    4.3 Other Random Walks (Discussion)

    If we synthesize polymers made from various numbers of the

    same units, then the coil size increases proportionally as the

    square root of the molar mass.

  • Slide 1-9

    Polymer Diffusion

  • Slide 1-10

    Figure 4.8 (Schematic; experimental data; photomicrograph.) Caption: See text.

    ©1999. Used by permission of the American Physical Society.

    Polymer Random Walks (Problem 7.9*)

  • Slide 1-11

    Random Walks on Wall Street*

  • Slide 1-12

    4.4 – 4.6 Equations Summary

  • Slide 1-13

    4.4 The diffusion equations: Fick’s 1st Law

    • First let’s derive Fick’s first law: consider 4.10

    and release a trillion random walkers and

    compare P(x,0) with P(x,t) at time steps Δt

    • Flow from L ー> R isand when bin size is shrunk we get

    • No. density c(x) is just N(x) in a slot divided by

    LYZ (vol. of slot) = N/(LYZ) implies

  • Slide 1-14

    4.4 Diffusion cartoon

  • Slide 1-15

    4.4 Fick’s Law (1st Law)

    • From last time we know D = L2/Δt so we have

    • Q:- What drives the flux?

  • Slide 1-16

    4.4 Fick’s Law (1st Law)

    • From last time we know D = L2/Δt so we have

    • Q:- What drives the flux?

    – Mere probability is “pushing” the particles (cf.

    entropic forces)

    • Fick’s (1st law) is not enough. We need his 2nd

    law; otherwise known as the “Diffusion Equation”

  • Slide 1-17

    4.4. Diffusion Equation

    • Let’s look at how N(x) and hence c(x) vary in

    time:

    • Now dividing by LYZ gives the “continuity

    equation”

    • Now take derivative of

    w.r.t. time and use continuity to show that

    • Later our goal will be to solve this equation

  • Slide 1-18

    4.5 Functions and Derivatives

  • Slide 1-19

    And Snakes Under the Rug

    Try to use Wolfram α to make some plots

  • Slide 1-20

    4.6.1 Membrane Diffusion*

    • Imagine a long thin membrane/tube of Length L,

    with one end in ink C(0)=c0 and in water C(L)=0

    • This leads to a quasi-steady state so we set

    dc/dt =0 and hence d2c/dx2=0

    • This means that c is constant and js=-DΔc/L

    where Δc0=cL-c0 and subscript s means the flux

    of solute not water

    • Now define js=-PsΔc where Ps is the permeability

    of the membrane. In simple cases Ps roughly

    relates to the width of the pore and thickness of

    the membrane (length of pore)

    • Using dN/dt=-Ajs leads to (next slide)

  • Slide 1-21

    4.6.1 Membrane Diffusion

  • Slide 1-22

    4.6.2 Diffusion sets fundamental limit on

    bacterial metabolism

    • In class exercise:

    – Example on pg. 138 of book

    – Follow steps and present your derivation

    • And also try to do Your Turn 4F

    – a) Find I (mass per unit time) ...

    – b) Estimating metabolic rate

  • Slide 1-23

    4.6.3 Nernst relation

  • Slide 1-24

    4.6.3 Nernst relation & scale of cell

    membrane potentials

    • Consider now a charged situation like many cell

    membranes in biology (see Fig. 4.14)

    • The electric field E = ΔV/l and hence the drift

    velocity is

    • Now consider a flux trough area A (Fig. 4.14)

    and we argue that j = c vdrift (check units) which

    implies that

    • Now including dissipation in Fick’s law we find

    and using the Einstein relation we find

  • Slide 1-25

    The Nernst-Planck Formula

    • FQ:- what electric field will cancel out non-

    uniformity in a solution?

    • Ans:- Set j=0 implies which has

    solution

    where ΔV = EΔx

    • Using real values we estimate ΔV~58 mV. Not

    far off voltages observed in real cell membranes

  • Slide 1-26

    4.6.3 Comment (from Nelson)

    • D has dropped out because we are considering

    an equilibrium problem

    • In reality in cell membranes are non-equilibrium

  • Slide 1-27

    4.6.4 Electrical Resistivity from Nernst

    • Show that electrical resistance in solution is due

    to dissipation D of random walkers (amazing)

    • In Fig. 4.14 now consider placing electrodes in

    NaCl solution separation d

    • Now the ions in the solution won’t pile up and we

    will assume c(x) is uniform which from Nernst-

    Planck means that E=ΔV/d= kBT/(Dqc) j (check)

    and since j is no. of ions per unit time we have

    current I = qAj and hence

    • Ohm’s law ΔV=IR with electrical conductivity

    κ=d/(RA) where

  • Slide 1-28

    Homework: Section 4.6.5

    • Read Section 4.6.5 and do “Your Turn 4G”

    – Also “Your Turn 4F” on bacterium

    • Solution of diffusion equation is a Gaussian

    profile (Gaussians again)

    – In 1D the solution is

    – In 3D follow “Your Turn 4G” or do 1D case.

    • Homework question 4.7:- “Vascular Design”