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International Journal of Biomaterials
Volume 2014 (2014), Article ID 768136, 5 pages
http://dx.doi.org/10.1155/2014/768136
Research Article

A Novel Qualitative and Quantitative Biofilm Assay Based on 3D Soft Tissue

1Medibiome AB, 431 53 Mölndal, Sweden
2Department of Medical Microbiology and Immunology, Sahlgrenska Academy, University of Gothenburg, 413 45 Göteborg, Sweden

Received 23 October 2013; Revised 22 December 2013; Accepted 9 January 2014; Published 18 February 2014

Academic Editor: Sanjukta Deb

Copyright © 2014 Bodil Hakonen et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

The lack of predictable in vitro methods to analyze antimicrobial activity could play a role in the development of resistance to antibiotics. Current used methods analyze planktonic cells but for the method to be clinically relevant, biofilm in in vivo like conditions ought to be studied. Hence, our group has developed a qualitative and quantitative method with in vivo like 3D tissue for prediction of antimicrobial activity in reality. Devices (wound dressings) were applied on top of Pseudomonas aeruginosa inoculated Muller-Hinton (MH) agar or 3D synthetic soft tissues (SST) and incubated for 24 hours. The antibacterial activity was then analyzed visually and by viable counts. On MH agar two out of three silver containing devices showed zone of inhibitions (ZOI) and on SST, ZOI were detected for all three. Corroborating results were found upon evaluating the bacterial load in SST and shown to be silver concentration dependent. In conclusion, a novel method was developed combining visual rapid screening and quantitative evaluation of the antimicrobial activity in both tissue and devices. It uses tissue allowing biofilm formation thus mimicking reality closely. These conditions are essential in order to predict antimicrobial activity of medical devices in the task to prevent device related infections.