Size and Density of Fibers in Fibrin and Other Filamentous Networks from Turbidimetry: Beyond a Revisited Carr-Hermans Method, Accounting for Fractality and Porosity

Fabio Ferri, Gabriele Re Calegari, Matteo Molteni, Barbara Cardinali, Davide Magatti, Mattia Rocco

Research output: Contribution to journalArticle

Abstract

The Carr-Hermans method [ Macromolecules 1978, 11, 46-50 ], often used for determining the fibers diameter d and density ρ in fibrin or other filamentous networks from turbidity data, is found to be remarkably inaccurate when the system's mass fractal dimension Dm is >1. An expanded approach based on the knowledge of the system Dm and pore size ξ, which can be accurately recovered from low-angle elastic light scattering data or estimated from confocal microscopy, is proposed. By fitting the turbidity data with a function obtained by numerically integrating the fibrin-optimized scattering form factor of a network of cylindrical elements, both d and ρ can be independently recovered. Numerical simulations were employed to validate the reliability and accuracy of the method, which is then applied to evolving fibrin gels data. More in general, this method is extendible to the analysis of other filamentous networks that can be represented as ensembles of cylindrical elements.

Original languageEnglish
Pages (from-to)5423-5432
Number of pages10
JournalMacromolecules
Volume48
Issue number15
DOIs
Publication statusPublished - Aug 11 2015

ASJC Scopus subject areas

  • Organic Chemistry
  • Materials Chemistry
  • Polymers and Plastics
  • Inorganic Chemistry

Fingerprint Dive into the research topics of 'Size and Density of Fibers in Fibrin and Other Filamentous Networks from Turbidimetry: Beyond a Revisited Carr-Hermans Method, Accounting for Fractality and Porosity'. Together they form a unique fingerprint.

  • Cite this