Cinnamaldehyde increases the susceptibility of quorum-sensing-mediated biofilms to conventional antibiotics

The role of bacterial communication, also known as quorum sensing is an important mechanism in biofilm formation which is fundamental to the development of anti-biofilm strategies. In this current study, the synergy between a quorum sensing inhibitor (cinnamaldehyde) and two antibiotics (ceftazidime and levofloxacin) was evaluated in an attempt to develop a strategy for biofilm disruption using the high-throughput minimum biofilm eliminating concentration (MBEC) assay. Klebsiella pneumoniae and Proteus mirabilis biofilms of initial broth suspensions of 108 colony forming units (CFU) per mL, cultivated on the pegs of the MBEC device were challenged with 5120 µg/ml of ceftazidime and levofloxacin in a double dilution assay in the presence of 500 µM cinnamaldehyde. The minimum inhibitory concentrations (MIC) in the presence of cinnamaldehyde for ceftazidime and levofloxacin were 0.125% (640 µg/mL) and 0.0625% (320 µg/mL) respectively with no significant bacterial growth on LB agar. The MBECs for ceftazidime and levofloxacin were above 5120 and 2560 µg/mL respectively which yielded over 70% reduction in both Klebsiella pneumoniae and Proteus mirabilis biofilms. The above results indicate the possibility that the synergy between antimicrobial agents may lead to biofilm eradication.

The Data of Things: Strategies, Patterns and Practice of Cloud-based Participatory Sensing

The broad capabilities of current mobile devices have paved the way for Mobile Crowd Sensing (MCS) applications. The success of this emerging paradigm strongly depends on the quality of received data which, in turn, is contingent to mass user participation; the broader the participation, the more useful these systems become. However, there is an ongoing trend that tries to integrate MCS applications with emerging computing paradigms such as cloud computing. The intuition is that such a transition can significantly improve the overall efficiency while at the same time it offers stronger security and privacy-preserving mechanisms for the end-user. In this position paper, we dwell on the underpinnings of incorporating cloud computing techniques to facilitate the vast amount of data collected in MCS applications. That is, we present a list of core system, security and privacy requirements that must be met if such a transition is to be successful. To this end, we first address several competing challenges not previously considered in the literature such as the scarce energy resources of battery-powered mobile devices as well as their limited computational resources that they often prevent the use of computationally heavy cryptographic operations and thus offering limited security services to the end-user. Finally, we present a use case scenario as a comprehensive example. Based on our findings, we posit open issues and challenges, and discuss possible ways to address them, so that security and privacy do not hinder the migration of MCS systems to the cloud.