Global analysis of time-resolved fluorescence data

Area of Science:

• Physical Chemistry
• Spectroscopy
• Biophysics

Background:

• Time-resolved fluorescence spectroscopy is crucial for understanding molecular dynamics.
• Analyzing complex condensed-phase molecular systems presents significant data processing challenges.
• Sequential analysis of individual datasets can lead to inconsistencies and parameter uncertainties.

Purpose of the Study:

• To describe a global analysis approach for processing time-resolved fluorescence spectroscopy data.
• To enhance the robustness and consistency of data analysis compared to sequential methods.
• To provide practical implementation details for the global analysis approach.

Main Methods:

• Simultaneous analysis of data acquired under diverse experimental conditions (e.g., temperature, concentration, excitation intensity).
• Utilizing a fitting strategy that links parameters across datasets to reduce the number of variables.
• Applying the global approach to time-resolved fluorescence anisotropy measurements.

Main Results:

• Global analysis demonstrates increased robustness and consistency over sequential fitting.
• Parameter linkage effectively reduces the total number of estimated variables.
• Successful application to experimental data of green fluorescent protein in aqueous solution.

Conclusions:

• The global analysis approach provides a superior framework for time-resolved fluorescence spectroscopy data.
• This method is particularly beneficial for complex molecular systems in the condensed phase.
• The described methodology and practical considerations facilitate wider adoption in biophysical and chemical research.