Thermodynamic Investigation of Staphylococcus epidermidis Interactions with Protein-Coated Substrata

Yatao Liu, Joshua Strauss, and Terri A. Camesano*
Department of Chemical Engineering, Worcester Polytechnic Institute, 100 Institute Road, Worcester, Massachusetts 01609
Langmuir, 2007, 23 (13), pp 7134–7142
DOI: 10.1021/la700575u
Publication Date (Web): May 24, 2007
Copyright © 2007 American Chemical Society
*

 To whom correspondence should be addressed. Phone:  508-831-5380. Fax:  508-831-5833. E-mail:  terric@wpi.edu.

Abstract

Abstract Image

We evaluated self-assembled monolayers (SAMs) as potential coatings to prevent bacterial adhesion to biomaterials. Bacterial retention experiments were conducted on SAMs, some of which were coated with the model proteins fetal bovine serum (FBS) and fibronectin (FN). A thermodynamic approach was applied to calculate the Gibbs free energy changes of adhesion (ΔGadh) of Staphylococcus epidermidis interacting with the substrates. When only nonspecific interactions controlled bacterial attachment, such as for the non-protein-coated substrates or the FBS substrates, the correlation between the thermodynamic predictions and measured values of bacterial retention was strong. However, when FN was adsorbed to the surfaces, the thermodynamic modeling underestimated bacterial adhesion, presumably since specific interactions between proteins of S. epidermidis and FN led to stronger attachment. Bacterial viability on the substrates was correlated with thermodynamic properties. For example, although bacteria attached more to surfaces having negative ΔGadhvalues, these cells experienced the greatest loss of viability, presumably since strongly attached bacteria were unable to divide and grow. When the ΔGadhvalues were decoupled into their components, we saw that acid−base interactions due to hydrogen bonding dominated the interactions of bacteria and proteins with each other and with the substrates in aqueous media. Finally, we discuss concerns regarding the use of the thermodynamic model to predict bacterial adhesion behavior in biomaterials systems.

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History

  • Published In Issue June 19, 2007
  • Received February 27, 2007
    Revised April 11, 2007

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