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Principles of Fluorescence Spectroscopy

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830 FLUORESCENCE CORRELATION SPECTROSCOPY<br />

Figure 24.45. Measurement <strong>of</strong> photon antibunching and rotational<br />

diffusion by FCS. CFD, constant fraction discriminator. TAC, time-toamplitude<br />

converter. MCA, multichannel analyses. Revised from<br />

[150].<br />

both <strong>of</strong> these are shorter than the diffusion time. Also<br />

assume that the absorption and emission dipoles are parallel,<br />

and that the excitation is polarized in the z direction and<br />

the emission is observed without polarizers, the observed<br />

volume is long along the z-axis. The correlation function is<br />

then given by<br />

1<br />

G(τ) G(0) [ 1 τ/τD 4<br />

5<br />

τ 9<br />

exp ( ) <br />

θ 5<br />

τ<br />

exp ( )] τF (24.57)<br />

The correlation time information is available without polarizers<br />

because the probability <strong>of</strong> excitation depends on the<br />

orientation <strong>of</strong> the fluorophore relative to the incident polarization.<br />

This separation <strong>of</strong> correlation time from lifetime<br />

can be seen in the middle term <strong>of</strong> eq. 24.57, where the exponential<br />

relationship depends on the ratio <strong>of</strong> the experimental<br />

correlation time τ to the rotational correlation time θ.<br />

This is different from time-resolved anisotropy decays,<br />

where the lifetime must be comparable to the rotational correlation<br />

time to obtain useful information. The last term in<br />

eq. 24.57 represents the photon antibunching, which<br />

decreases exponentially with the ratio <strong>of</strong> the experimental<br />

correlation time to the lifetime τ F .<br />

Figure 24.46. Measurement <strong>of</strong> rotational diffusion <strong>of</strong> Texas Redlabeled<br />

pancreatic lipase using FCS. Revised from [151].<br />

It is interesting to notice that eq. 24.57 contains two<br />

exponential terms plus the diffusion term. Recall that the<br />

concentration autocorrelation function is also exponential<br />

in τ (eq. 24.11). The averaging over a Gaussian volume<br />

results in the dependence shown in eq. 24.57. The photon<br />

antibunching term and the rotational diffusion terms still<br />

show the exponential dependence because they do not<br />

depend on the position <strong>of</strong> the fluorophore in the volume.<br />

Figure 24.46 shows an AFCS experiment, in this case<br />

for pancreatic lipase labeled with Texas Red. 151 The data<br />

were collected using three parallel polarizers (Figure<br />

24.45), so that eq. 24.57 is not appropriate for these data but<br />

requires additional geometric factors. G(τ) is symmetrical<br />

because <strong>of</strong> the random distribution <strong>of</strong> photons by the beamsplitter.<br />

Notice that the timescale is ns rather than ms<br />

because rotational diffusion occurs on this timescale. The<br />

dip in the middle is due to photon antibunching and is several<br />

ns wide, comparable to the lifetime τ F . The decays on<br />

either side are due, at least in part, to rotational diffusion <strong>of</strong><br />

the protein.<br />

24.15. FLOW MEASUREMENTS USING FCS<br />

As a final application <strong>of</strong> FCS we will describe how it can be<br />

used to detect the velocity in flowing samples. This is not a<br />

trivial problem, especially in micr<strong>of</strong>luidic structures where<br />

the velocity will vary across the channel and will be different<br />

in branches <strong>of</strong> a channel. The theory <strong>of</strong> FCS with flow<br />

has been described, 156 and the interest in such measurements<br />

appears to be growing rapidly. 157–162 A typical

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