Maximum-entropy decomposition of fluorescence correlation spectroscopy data: Application to liposome-human serum albumin association

Károly Módos, Rita Galántai, Irén Bárdos-Nagy, Malte Wachsmuth, Katalin Tóth, Judit Fidy, Jörg Langowski

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21 Citations (Scopus)

Abstract

Fluorescence correlation spectroscopy was used to measure the diffusion behavior of a mixture of DMPC or DMPC/DMPG liposomes with human serum albumin (HSA) and mesoporphyrin (MP), which was used as the fluorescent label for liposomes and HSA as well. For decomposing the fluorescence intensity auto-correlation function (ACF) into components corresponding to a liposome population, HSA and MP, we used a maximum entropy procedure that computes a distribution of diffusion times consistent with the ACF data. We found that a simple parametric non-linear fit with a discrete set of decay components did not converge to a stable parameter set. The distribution calculated with the maximum entropy method was stable and the average size of the particles calculated from the effective diffusion time was in good agreement with the data determined using the discrete-component fit.

Original languageEnglish
Pages (from-to)59-67
Number of pages9
JournalEuropean Biophysics Journal
Volume33
Issue number1
DOIs
Publication statusPublished - Feb 1 2004

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Keywords

  • Fluorescence correlation spectroscopy
  • Human serum albumin
  • Liposomes
  • Maximum entropy data analysis
  • Mesoporphyrin

ASJC Scopus subject areas

  • Biophysics

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