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Phosphorescence lifetime analysis with a quadratic programming algorithm for determining quencher distributions in

S A Vinogradov1, D F Wilson

  • 1Department of Biochemistry and Biophysics, School of Medicine, University of Pennsylvania, Philadelphia 19104.

Biophysical Journal
|November 1, 1994
PubMed
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A novel computational method rapidly analyzes phosphorescence lifetime distributions in complex systems. This technique accurately resolves quencher concentration, crucial for biological oxygen measurements.

Area of Science:

  • Analytical Chemistry
  • Biophysics
  • Computational Science

Background:

  • Phosphorescence lifetime analysis is vital for studying heterogeneous systems.
  • Existing methods may lack speed or robustness for complex lifetime distributions.

Purpose of the Study:

  • To develop a novel, fast, and robust computational method for analyzing phosphorescence lifetime distributions.
  • To enable accurate resolution of quencher concentration in heterogeneous samples.

Main Methods:

  • Decomposition of data vectors into linearly independent exponentials.
  • Utilization of quadratic programming for chi-squared minimization.
  • Non-iterative, finite calculation algorithm.

Main Results:

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  • The algorithm demonstrates computational speed and robustness.
  • Successful testing on simulated decays and experimental phosphorescence data.
  • Analysis of signal-to-noise effects on resolution capability.

Conclusions:

  • The developed technique is highly effective for resolving lifetime distributions.
  • Recommended for determining quencher concentration, particularly oxygen in biological tissues.
  • Validated using practical phosphors like PdTCPP and PdMP for oxygen sensing.