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Resolution of multiple fluorescence lifetimes in heterogeneous systems by phase-modulation fluorometry
Journal of Biochemical and Biophysical Methods
|July 1, 1984
Summary
New FIT computer programs effectively analyze phase and modulation lifetime data for fluorescent systems. These programs utilize a Monte Carlo approach to resolve complex multiexponential decays, offering improved accuracy for lifetime measurements.
Area of Science:
- Photophysics and Fluorescence Spectroscopy
- Biophysical Chemistry
- Computational Chemistry
Background:
- Fluorescent systems often exhibit multiexponential decay, complicating lifetime analysis.
- Traditional methods for resolving heterogeneous lifetimes can be limited in accuracy and scope.
Purpose of the Study:
- To present novel computer procedures (FIT programs) for analyzing phase and modulation lifetime data.
- To demonstrate the utility of these programs in resolving lifetimes in complex fluorescent systems.
Main Methods:
- Development of FIT programs based on lifetime resolution theory for phase-modulation measurements.
- Utilizing a Monte Carlo approach with simultaneous analysis of phase and modulation data at three frequencies.
- Application to defined binary (carbazole, pyrene) and ternary (carbazole, pyrene, POPOP) systems.
Main Results:
- FIT programs provide accurate lifetime resolution, with results within 5% of independently measured values for binary and ternary systems.
- Fractional fluorescence contributions were determined within 10% of expected values.
- Demonstrated successful application to a biological system (dansyl label on myosin) involving Förster energy transfer.
Conclusions:
- Phase-modulation measurements, when analyzed with appropriate FIT programs, can accurately resolve lifetimes in binary and selected ternary fluorescent systems.
- These computational tools offer a simple, efficient, and effective method for analyzing complex fluorescence decay data.
- The methodology allows for quantification of distance changes in biological systems based on lifetime analysis.