Abstract
Luminescence decay functions describe the time dependence of the intensity of radiation emitted by electronically excited species. Decay phasor plots (plots of the Fourier sine transform vs. the Fourier cosine transform, for one or several angular frequencies) are being increasingly used in fluorescence, namely in lifetime imaging microscopy. In this work it is shown that the universal semicircle, locus of all exponential decay functions, can be viewed as the weighted sum of two spiraling phasors, one corresponding to a truncated exponential and the other to a shifted exponential. The geometric details of this recomposition are discussed. With area normalization, the decay functions form a subset in the universe of one-sided probability density functions, the same being valid for the phasor plots, which are parametric plots of the respective characteristic functions.
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1 Introduction
A luminescence decay function, \(I(t)\), is the function describing the time dependence of the intensity of radiation spontaneously emitted at a given wavelength, by a previously excited sample. Only nonnegative times are considered (\(t \ge 0\)). For convenience, and without loss of generality, the decay function is usually normalized at \(t = 0, I(0) = 1\) (initial value normalization) [1, 2]. A second normalization procedure (area normalization) is to consider instead the function
In this case, \(E(t)\) can be called a density [3], as it has the properties of a probability density function (pdf). This definition has the advantage of including “decay” functions that start from zero, as occurs with the emission of intermediates and products of photochemical processes. The function \(E(t)\) also has the meaning of the emission probability of a photon between \(t\) and \(t + {dt}\), given that the photon was emitted.
The cosine and sine Fourier transforms of \(E(t), G(\omega )\) and \(S(\omega )\), respectively, are defined by [1, 4]
where \(\omega \) is the angular frequency. Following Weber [5], the letter \(G\) is used instead of \(C\) (\(G\) is a convenient choice, as it avoids the concentration symbol while retaining graphic similarity with \(C\)).
Each decay function, for a given frequency, is mapped onto a point inside the unit circle defined by \(G^{2}+S^{2} = 1\) [3, 6], which may be said to be the phasor space, see Fig. 1. Indeed, Eqs. (2) and (3) immediately imply that both \({\vert }G{\vert }\) and \({\vert }S{\vert }\) cannot exceed 1. It also follows from these equations that \(G(0) = 1\) and \(S(0) = 0\), while \(S(\infty )=G(\infty ) = 0\), see Fig. 1.
For a given frequency, the \((G,\, S)\) pair defines a point or, equivalently, a vector \(\mathbf{P}=G \mathbf{e}_1 +S \mathbf{e}_2 \), called the phase vector or phasor. This vector is the basis of the phasor approach to time-resolved luminescence (mainly fluorescence) [1, 4, 7–26], which provides a simple graphical and model-independent portrait of a system. Besides luminophore identification (“fingerprinting”) in complex systems, processes such as quenching, solvent relaxation and energy transfer are defined by characteristic trajectories in the plane (at a fixed frequency or using several frequencies). Owing to the limited computational requirements, linearity and robustness, the phasor approach is especially useful in fluorescence lifetime imaging microscopy (FLIM) [11–14, 18, 21, 22, 25]. Application to measurements in solution (“single pixel data”) is nevertheless also of interest [9, 10, 19, 20, 23].
The precise location of the decay in the plane, defined by its phasor, is a function of frequency and decay characteristics. Single exponential decays lie on a so-called universal circle (in fact a semicircle, for nonnegative frequencies), defined by \(S=\sqrt{G(1-G)}\), with \(1 \ge G \ge 0\) [1, 4, 7, 12–14, 19], see Fig. 1. Indeed, if
then Eqs. (2) and (3) give, as is well-known,
Complex decays usually, but not always, fall inside the universal circle. The point corresponding to a multiexponential decay is located at an average distance from those of the components. In the case of a two-exponential decay with positive amplitudes, for instance, the corresponding point falls on a straight line connecting the phasors of the two components (“tie line”) [1, 4, 7, 19]. Analogously to the lever rule of thermodynamic phase diagrams, the fractional contribution of each of the two components to the total intensity is given by the length of the segment connecting the decay point (“average lifetime”) to the opposite component, divided by the length of the full segment uniting the two extreme points (components) [1, 4, 12–14, 18]. The lever rule was recently generalized to include cases where one of the amplitudes is negative [26]. When there are three or more components, again with positive amplitudes, the corresponding points define a polygon, with vertices located at or inside the circle, with the decay point lying in turn inside the polygon [1, 4, 11–13, 18]. If some amplitudes are negative, the situation is different [26].
When the measurement technique used is frequency domain fluorimetry, based on sinusoidally modulated excitation, \(G\) and \(S\) are directly related to the two parameters obtained for each frequency, which are the modulation ratio, \(M\), and the phase shift, \(\Phi \), by \(G=M \cos \Phi \) and by \(S=M \sin \Phi \), hence \(\tan \Phi =S/G\) and \(M=\left| \mathbf{P} \right| =\sqrt{G^{2}+S^{2}}\) [5]. When the measurement technique used is time domain fluorimetry, the phasor must be computed (numerically or analytically) from the measured decay according to Eqs. (2) and (3), at a conveniently chosen frequency (or set of frequencies). The decay is usually previously fitted with an empirical decay law, e.g. a sum of exponentials. An alternative procedure is discussed in Sect. 2.1.
As follows from Eqs. (2) and (3), \(G(\omega )\) and \(S(\omega )\) are not independent. They are explicitly related by Hilbert transforms [3],
It might thus seem that a 2D plot would be redundant, as all information is already contained in \(G(\omega )\). This nevertheless ignores the fact that a graphical representation that allows distinguishing between different decay types at a glance has intrinsic value, and also that in many cases experimental data is restricted to a few frequencies.
The purpose of the present work is to present a probabilistic view of the luminescence phasor approach and also to discuss the characteristic curve of the exponential luminescence decay function, the so-called universal circle, in terms of two components, which have more complex phasor plots.
2 Results and discussion
2.1 Probabilistic aspects
The functions \(G(\omega )\) and \(S(\omega )\) are the real and imaginary parts of the conjugate Fourier transform \(F^{*}(\omega )\) of the decay function \(E(t)\),
which is known in probability theory as the characteristic function (cf) of a given distribution, \(\varphi (\omega )\) [6, 27]. The phasor plot corresponding to the decay function \(E(t)\), which is a pdf, can thus be viewed as a parametric plot of the respective characteristic function. When the pdf is symmetric, \(S(\omega ) = 0\) and the characteristic function is real [6]. A few complex characteristic functions of asymmetric distributions are given in [6] and in [27]. In the luminescence phasor context all pdfs are one-sided, hence the cf is generally complex. In the exponential case,
A further probabilistic aspect of the phasor plot approach exists in the case of luminescence data obtained by the single photon timing method [1]. In this case the luminescence decay is acquired as a histogram of photon counts, distributed by several narrow time intervals (channels). Neglecting for the sake of simplicity the convolution of the intrinsic decay with the instrument response function [1], assumed to be very short when compared to the characteristic decay times, the decay function is approximated by
where
\(N_{n}\) being the number of counts in the \(n\)th channel, corresponding to time \(t_{n}\). The phasor plot can be obtained directly from the histogram. As the cf of \(\delta (t-t_{n})\) is exp\((i\omega \, t_{n})\), one has the approximate relations (which are but discrete Fourier transforms):
During the histogram acquisition period, the phasor curve will also evolve stochastically, converging to the final, stable form that corresponds to a large number of counts.
2.2 Universal semicircle as the sum of two spiraling curves
The simple phasor plot of exponential decays (universal circle, Fig. 1) can be expressed in terms of two other phasor curves, far more complex geometrically and bearing some similarities with previously discussed curves [26]. Indeed, the exponential can be broken into two parts, by splitting it at \(\theta =\theta _{0}\) into the functions
where \(H(\theta )\) is the Heaviside step function. The decay function \(I_{L}(\theta )\) is nonzero only to the left of \(\theta _{0}\), whereas the decay function \(I_{R}(\theta )\) is nonzero only to the right of \(\theta _{0}\). After area normalization, yielding \(E_{R}(\theta )\) and \(E_{L}(\theta )\), they can be viewed as a “truncated exponential” and as a “shifted exponential”, respectively. In this way,
where \(f_{L}\) and \(f_{R} = 1 - f_{L}\) are the relative contributions, with
The cosine and sine transforms of the truncated exponential are:
while those of the shifted exponential are:
It follows from Eqs. (22) and (23) that for large \(u\) the phasor plot of the shifted exponential \(E_{R}(\theta )\) becomes a hyperbolic spiral [28, 29], with radius \(1/u\) and polar angle (phase) \(\theta _{0} \, u\), see Fig. 2. This is similar to what was observed for the exponential of exponential decay function when unimodal [26]. On the other hand, the phasor path for the truncated exponential, \(E_{L}(\theta )\), which has a singularity in the derivative at \(\theta _{0}\), is also an inward spiral, albeit distorted, reminiscent of the curves observed for some super-exponential decays [26]. For small \(\theta _{0}\) (Fig. 3) it is similar to the curve corresponding to a rectangular “decay”/pdf, which is of the cochleoid type [28, 29]. As expected, for small \(\theta _{0 }\) the cf of \(E_{L}(\theta )\) becomes similar to the universal semicircle, whereas for large \(\theta _{0 }\) this happens to the cf of \(E_{R}(\theta )\), which nearly loses the convoluted character, see Figs. 3 and 4, respectively.
It also follows from Eqs. (20)–(23) that the \(R\) and \(L\) phasors coincide exactly for \(u = 2n \pi /\theta _{0}\) \((n = 1, 2,{\ldots })\), see e.g. Figs. 6, 8 and 10.
The full circle can be obtained in the same way, if negative frequencies are also used, Fig. 11.
The shifted exponential curve (red curve) is also directly related to the curve of the unshifted exponential (universal circle), as Eqs. (22) and (23) can be rewritten in the form
which corresponds to a rotation of the original vector by an angle \(\theta _{0}u\), as can be seen in Figs. 5, 6, 7, 8, 9 and 10 (where the effective rotation is either \(\pi \) or \(2\pi \)). This result is a special case of the shift property of causal functions (functions \(f(t)\) such that \(f(t) = 0\) if \(t < 0\) [3]), which is demonstrated in the Appendix.
The decomposition of the exponential decay function can also be made with three or more functions, overlapping or not in time.
3 Conclusions
With the area normalization expressed by Eq. (1), the luminescence decay functions \(E(t)\) form a subset in the universe of all one-sided probability density functions, the same being valid for the phasor plots, which are parametric plots of the respective characteristic functions. Decomposition of the exponential decay function in two non-overlapping functions (truncated exponential and shifted exponential) allowed retrieving phasor plots similar to those previously obtained for super-exponential and unimodal functions.
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This work was carried out within Projects PTDC/QUI-QUI/123162/2010 and RECI/CTM-POL/0342/2012 (FCT, Portugal).
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Appendix: Shift property of causal functions
Appendix: Shift property of causal functions
If a given causal function \(f(t)\) is shifted to the right by \(\Delta t\), it becomes another causal function \(g(t)=f(t-\Delta \hbox {t})\). The Fourier cosine transform of \(g(t)\) is, successively,
hence
Similarly, it is obtained that
and therefore
A time shift \(\Delta t\) is tantamount to a counter-clockwise rotation by \(\omega \Delta t\) in the phasor space.
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Berberan-Santos, M.N. Probabilistic view of the luminescence phasor plot and description of the universal semicircle as the sum of two spiraling curves. J Math Chem 53, 1207–1219 (2015). https://doi.org/10.1007/s10910-015-0481-y
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DOI: https://doi.org/10.1007/s10910-015-0481-y