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Self-Assembly of Synthetic and Biological Polymeric Systems of ...

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As commented above, Figure 2.10a illustrates how the intensity (I) varies with time (t). I(t)<br />

fluctuates around its mean value, . It may appear completely r<strong>and</strong>om <strong>and</strong>, therefore,<br />

meaningless, but it is not. Motions <strong>of</strong> particles (i.e. polymer molecules) <strong>and</strong> solvent molecules<br />

contribute to the change <strong>of</strong> I(t) with time. This apparently noisy signal carries the information<br />

about particles motions.<br />

Figure 2.10. a) Light scattering intensity I(t) fluctuates around its mean value . b)<br />

Autocorrelation function is obtained as the long-time average <strong>of</strong><br />

for various delay times . The aurocorrelation function decays from to over time. The<br />

amplitude <strong>of</strong> the decaying component is .<br />

The autocorrelator calculates the product average <strong>of</strong> two scattering intensities I(t) <strong>and</strong> I(t+)<br />

measured at two different times separated by , the delay time. The average product<br />

is a function <strong>of</strong> <strong>and</strong> is called the correlation function <strong>of</strong> I(t), or the intensity-<br />

intensity correlation function. The correlator converts I(t) into . Hence, the<br />

intensity-intensity correlation function is the average <strong>of</strong> over a long period T.<br />

Hence, assuming that the long time average is equal to the ensemble average, we can write:<br />

Note that, if the system is at equilibrium, the ensemble average does not change with time<br />

2.23<br />

42

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