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Fluorescence and Phosphorescence: Instrumentation

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Analysis of data obtained from a frequency-multiplexed phase-modulation fluorometer using an autoregressive model.

Tetsuo Iwata¹, Akitaka Muneshige, Tsutomu Araki

¹Division of Energy System, Institute of Technology and Science, The University of Tokushima, 2-1 Minami-Jyosanjima, Tokushima 770-8506, Japan. iwata@me.tokushima-u.ac.jp

Applied Spectroscopy

|October 4, 2007

Summary

This summary is machine-generated.

This study introduces an autoregressive (AR) model for analyzing frequency-multiplexed phase-modulation fluorometer (FM-PMF) data. The method accurately determines multiple fluorescence lifetimes from complex samples.

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High-resolution Spatiotemporal Analysis of Receptor Dynamics by Single-molecule Fluorescence Microscopy

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Published on: July 25, 2014

Area of Science:

Analytical Chemistry
Physical Chemistry
Spectroscopy

Background:

Accurate determination of fluorescence lifetimes is crucial for characterizing multi-component samples.
Existing methods may face challenges in simultaneously resolving multiple fluorescence lifetimes.
Frequency-multiplexed phase-modulation fluorometry (FM-PMF) offers a promising approach for such analyses.

Purpose of the Study:

To develop and validate a mathematical method for analyzing FM-PMF data to derive multiple fluorescence lifetimes.
To investigate the influence of parameter settings on the accuracy of the autoregressive (AR) model for data analysis.
To demonstrate the efficacy of the proposed method using real-world fluorescent samples.

Main Methods:

Formulation of a mathematical analysis method based on an autoregressive (AR) model.
Utilizing data obtained from a frequency-multiplexed phase-modulation fluorometer (FM-PMF).
Conducting numerical simulations to study various parameter settings for accurate AR model-based data analysis.

Main Results:

The autoregressive (AR) model was successfully applied to analyze FM-PMF data.
Numerical simulations identified optimal parameter settings for accurate fluorescence lifetime determination.
The method accurately derived fluorescence lifetimes for quinine sulfate, rhodamine 6G, and their mixture.

Conclusions:

The proposed AR model-based method provides a robust approach for simultaneously deriving multiple fluorescence lifetimes from multi-component samples using FM-PMF data.
The study highlights the importance of parameter optimization for achieving high accuracy in fluorescence lifetime analysis.
The method's successful application to real samples validates its practical utility in chemical and biochemical analysis.