TY - JOUR
T1 - Molecular Communications Pulse-Based Jamming Model for Bacterial Biofilm Suppression
AU - Martins, Daniel P.
AU - Leetanasaksakul, Kantinan
AU - Barros, Michael Taynnan
AU - Thamchaipenet, Arinthip
AU - Donnelly, William
AU - Balasubramaniam, Sasitharan
N1 - 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: dpmartins@tssg.org; mbarros@tssg.org; wdonnelly@tssg.org).
Publisher Copyright:
© 2002-2011 IEEE.
PY - 2018/10
Y1 - 2018/10
N2 - 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 analyse
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 pulsebased
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.
AB - 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 analyse
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 pulsebased
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.
KW - Communications systems
KW - biofilm suppression
KW - jamming
KW - synthetic logic circuits
UR - http://www.scopus.com/inward/record.url?scp=85053611196&partnerID=8YFLogxK
U2 - 10.1109/TNB.2018.2871276
DO - 10.1109/TNB.2018.2871276
M3 - Article
C2 - 30235145
AN - SCOPUS:85053611196
SN - 1536-1241
VL - 17
SP - 533
EP - 542
JO - IEEE Transactions on Nanobioscience
JF - IEEE Transactions on Nanobioscience
IS - 4
M1 - 8468188
ER -