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

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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 autocorrelation 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.

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Authors and Affiliations

  1. Division of Biophysics of Macromolecules (H0500), Deutsches Krebsforschungszentrum, Im Neuenheimer Feld 280, 69120 , Heidelberg, Germany

    Malte Wachsmuth, Katalin Tóth & Jörg Langowski

  2. Department of Biophysics and Radiation Biology, Semmelweis University, Puskin utca 9, 1088 , Budapest, Hungary

    Károly Módos, Rita Galántai, Irén Bárdos-Nagy & Judit Fidy

Authors
  1. Károly Módos
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  2. Rita Galántai
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  3. Irén Bárdos-Nagy
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  4. Malte Wachsmuth
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  5. Katalin Tóth
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  6. Judit Fidy
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  7. Jörg Langowski
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Correspondence to Jörg Langowski.

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Módos, K., Galántai, R., Bárdos-Nagy, I. et al. Maximum-entropy decomposition of fluorescence correlation spectroscopy data: application to liposome–human serum albumin association. Eur Biophys J 33, 59–67 (2004). https://doi.org/10.1007/s00249-003-0343-6

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  • DOI: https://doi.org/10.1007/s00249-003-0343-6

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