Molecular Communications Pulse-Based Jamming Model for Bacterial Biofilm Suppression

Martins, Daniel P. and Leetanasaksakul, Kantinan and Barros, Michael Taynnan and Thamchaipenet, Arinthip and Donnelly, William and Balasubramaniam, Sasitharan (2018) Molecular Communications Pulse-Based Jamming Model for Bacterial Biofilm Suppression. IEEE Transactions on Nanobioscience, 17 (4). pp. 533-542. ISSN 1536-1241

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Studies have recently shown that the bacteria survivability within biofilms is responsible for the emergence of superbugs. The combat of bacterial infections, without enhancing its resistance to antibiotics, includes the use of nanoparticles to quench the quorum sensing of these biofilm-forming bacteria. Several sequential and parallel multi-stage communication processes are involved in the formation of biofilms. In this paper, we use proteomic data from a wet lab experiment to identify the communication channels that are vital to these processes. We also identified the main proteins from each channel and propose the use of jamming signals from synthetically engineered bacteria to suppress the production of those proteins. This biocompatible technique is based on synthetic biology and enables the inhibition of biofilm formation. We analyze the communications performance of the jamming process by evaluating the path loss for a number of conditions that include different engineered bacterial population sizes, distances between the populations, and molecular signal power. Our results show that sufficient molecular pulse-based jamming signals are able to prevent the biofilm formation by creating lossy communications channels (almost -3 dB for certain scenarios). From these results, we define the main design parameters to develop a fully operational bacteria-based jamming system.

Item Type: Article
Additional Information: Funding Information: Manuscript received June 19, 2018; accepted August 8, 2018. Date of publication September 19, 2018; date of current version November 16, 2018. This work was supported by the Science Foundation Ireland through the CONNECT Research Centre under Grant 13/RC/2077, in part by the Irish Research Council through the Government of Ireland Post-Doctoral Fellowship under Grant GOIPD/2016/650, and in part by the Academy of Finland Research Fellowship under Grant 284531. (Corresponding author: Daniel P. Martins.) D. P. Martins, M. T. Barros, and W. Donnelly are with the Telecommunication Software and Systems Group, Waterford Institute of Technology, Waterford, X91 P20H Ireland (e-mail:;; Publisher Copyright: © 2002-2011 IEEE.
Uncontrolled Keywords: /dk/atira/pure/subjectarea/asjc/1300/1305
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Date Deposited: 19 Oct 2022 23:06
Last Modified: 20 Jul 2023 03:55

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