Literature DB >> 12241390

Structure of fibrin gels studied by elastic light scattering techniques: dependence of fractal dimension, gel crossover length, fiber diameter, and fiber density on monomer concentration.

Fabio Ferri1, Maria Greco, Giuseppe Arcòvito, Marco De Spirito, Mattia Rocco.   

Abstract

The concentration dependence of the structure of fibrin gels, formed following fibrinogen activation by thrombin at a constant molar ratio, was investigated by means of elastic light scattering techniques. The scattered intensity distributions were measured in absolute units over a wave-vector range q of about three decades ( approximately 3x10(2)-3x10(5) cm(-1)). A set of gel-characterizing parameters were recovered by accurately fitting the data with a single function recently developed by us [F. Ferri et al., Phys. Rev. E 63, 031401 (2001)], based on a simple structural model. Accordingly, the gels can be described as random networks of fibers of average diameter d and density rho, entangled together to form densely packed and spatially correlated blobs of mass fractal dimension D(m) and average size (or crossover length) xi. As previously done for d, we show here that the recovered xi is also a good approximation of a weight average, namely, d approximately sqrt[<d2>(w)] and xi approximately <xi>(w). By varying the fibrinogen concentration c(F) between 0.034-0.81 mg/ml, gels with 100> or =xi> or =10 microm, 100< or =d< or =200 nm, 1.2< or =D(m)< or =1.4, and constant rho approximately 0.4 mg/ml were obtained. The power-law c(F) dependencies that we found for both xi and d are consistent with the model, provided that the blobs are allowed to partially overlap by a factor eta likewise scaling with c(F) (2> or =eta> or =1). Recasting the whole dataset on a single master curve provided further evidence of the similarity between the structures of all the gels, and confirmed the self-consistency of the model.

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Year:  2002        PMID: 12241390     DOI: 10.1103/PhysRevE.66.011913

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  19 in total

1.  Visualization and mechanical manipulations of individual fibrin fibers suggest that fiber cross section has fractal dimension 1.3.

Authors:  M Guthold; W Liu; B Stephens; S T Lord; R R Hantgan; D A Erie; R M Taylor; R Superfine
Journal:  Biophys J       Date:  2004-10-01       Impact factor: 4.033

2.  Nanostructure of the fibrin clot.

Authors:  C Yeromonahos; B Polack; F Caton
Journal:  Biophys J       Date:  2010-10-06       Impact factor: 4.033

3.  Dynamic imaging of fibrin network formation correlated with other measures of polymerization.

Authors:  Irina N Chernysh; John W Weisel
Journal:  Blood       Date:  2008-02-13       Impact factor: 22.113

4.  Response to "a simplified implementation of the bubble analysis of biopolymer networks pores".

Authors:  Matteo Molteni; Davide Magatti; Barbara Cardinali; Mattia Rocco; Fabio Ferri
Journal:  Biophys J       Date:  2013-06-18       Impact factor: 4.033

5.  Cl- and F- anions regulate the architecture of protofibrils in fibrin gel.

Authors:  M Missori; M Papi; G Maulucci; G Arcovito; G Boumis; A Bellelli; G Amiconi; M De Spirito
Journal:  Eur Biophys J       Date:  2009-06-11       Impact factor: 1.733

Review 6.  The pathophysiology, diagnosis and treatment of the acute coagulopathy of trauma and shock: a literature review.

Authors:  J Kaczynski; M Wilczynska; L Fligelstone; J Hilton
Journal:  Eur J Trauma Emerg Surg       Date:  2013-12-12       Impact factor: 3.693

7.  Visualization of the dynamics of fibrin clot growth 1 molecule at a time by total internal reflection fluorescence microscopy.

Authors:  Alina Hategan; Kathryn C Gersh; Daniel Safer; John W Weisel
Journal:  Blood       Date:  2012-12-11       Impact factor: 22.113

Review 8.  Mechanisms of fibrin polymerization and clinical implications.

Authors:  John W Weisel; Rustem I Litvinov
Journal:  Blood       Date:  2013-01-10       Impact factor: 22.113

9.  Fast two-dimensional bubble analysis of biopolymer filamentous networks pore size from confocal microscopy thin data stacks.

Authors:  Matteo Molteni; Davide Magatti; Barbara Cardinali; Mattia Rocco; Fabio Ferri
Journal:  Biophys J       Date:  2013-03-05       Impact factor: 4.033

10.  Modeling of fibrin gels based on confocal microscopy and light-scattering data.

Authors:  Davide Magatti; Matteo Molteni; Barbara Cardinali; Mattia Rocco; Fabio Ferri
Journal:  Biophys J       Date:  2013-03-05       Impact factor: 4.033

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