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

被引:22
|
作者
Módos, K
Galaántai, R
Baárdos-Nagy, I
Wachsmuth, M
Tóth, K
Fidy, J
Langowski, J
机构
[1] Deutsch Krebsforschungszentrum, Div Biophys Macromol H0500, D-69120 Heidelberg, Germany
[2] Semmelweis Univ, Dept Biophys & Radiat Biol, H-1088 Budapest, Hungary
关键词
fluorescence correlation spectroscopy; human serum albumin; liposomes; maximum entropy data analysis; mesoporphyrin;
D O I
10.1007/s00249-003-0343-6
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
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.
引用
收藏
页码:59 / 67
页数:9
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