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Principles of Fluorescence Spectroscopy

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100 TIME-DOMAIN LIFETIME MEASUREMENTS<br />

Figure 4.3. Comparison <strong>of</strong> time-domain (left) and frequency-domain (right) decay time measurements <strong>of</strong> N-acetyl-L-tryptophanamide (NATA). L(t k )<br />

is the instrument response function.<br />

These expressions can be used to calculate the phase<br />

(τ φ ) and modulation (τ m ) lifetimes for the curves shown in<br />

Figure 4.2 (Problem 4.1). If the intensity decay is a single<br />

exponential, then eqs. 4.5 and 4.6 yield the correct lifetime.<br />

If the intensity decay is multi- or non-exponential, then eqs.<br />

4.5 and 4.6 yield apparent lifetimes that represent a complex<br />

weighted average <strong>of</strong> the decay components.<br />

4.1.3. Examples <strong>of</strong> Time-Domain and<br />

Frequency-Domain Lifetimes<br />

It is useful to understand the appearance <strong>of</strong> the time-domain<br />

(TD) and the frequency-domain (FD) data. TD and FD data<br />

are shown for the tryptophan derivative N-acetyl-L-tryptophanamide<br />

(Figure 4.3). This tryptophan derivative (NATA)<br />

is known to display a single exponential decay (Chapter<br />

17). In the time domain (left) the data are presented as log<br />

counts versus time. The data are presented as photon counts<br />

because most such measurements are performed by singlephoton<br />

counting. The plot <strong>of</strong> the log intensity versus time<br />

for NATA is linear, which indicates the decay is a single<br />

exponential. The noisy curve marked L(t k ) is the instrument<br />

response function (IRF), which depends on the shape <strong>of</strong> the<br />

excitation pulse and how this pulse is detected by the instrument.<br />

This IRF is clearly not a δ-function, and much <strong>of</strong> the<br />

art <strong>of</strong> lifetime measurements is accounting for this nonideal<br />

response in analyzing the data.<br />

Analysis <strong>of</strong> the time domain is accomplished mostly by<br />

nonlinear least squares. 1–2 In this method one finds the lifetime<br />

that results in the best fit between the measured data<br />

and the data calculated for the assumed lifetime. Although<br />

not separately visible in Figure 4.3 (left), the calculated<br />

intensity decay for τ = 5.15 ns overlaps precisely with the<br />

number <strong>of</strong> photons counted in each channel. The lower<br />

panel <strong>of</strong> Figure 4.3 (left) shows the deviations between the<br />

measured and calculated data, weighted by the standard<br />

deviations <strong>of</strong> each measurement. For a good fit the deviations<br />

are random, indicating the only source <strong>of</strong> difference is<br />

the random error in the data.<br />

Frequency-domain data for the same NATA sample are<br />

shown in Figure 4.3 (right). The phase and modulation are<br />

measured over a range <strong>of</strong> light modulation frequencies. As<br />

the modulation frequency is increased the phase angle<br />

increases from 0 to 90E, and the modulation decreases from<br />

1 (100%) to 0 (0%). As for the time-domain data, the frequency-domain<br />

data are also analyzed by nonlinear least<br />

squares. The dots represent the data, and the solid line represents<br />

the best fit with a single lifetime <strong>of</strong> 5.09 ns. As for<br />

the TD data, the goodness-<strong>of</strong>-fit is judged by the differences<br />

(deviations) between the data and the calculated curves. For<br />

the FD data there are two observables—phase and modulation—so<br />

there are two sets <strong>of</strong> deviations (lower panel). The<br />

randomness <strong>of</strong> the deviations indicates that a single lifetime<br />

is adequate to explain the data.

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