Low-energy short-term cold atmospheric plasma: Controlling the inactivation efficacy of bacterial spores in powders.

The present research work aims to elucidate kinetics and mechanisms of the inactivation of Bacillus subtilis spores by a surface micro-discharge (SMD) - cold atmospheric pressure plasma (CAPP). Regarding industrial applications, the inactivation of spores was also studied for a static layer of a biopolymer powder or film, with an air plasma and at ambient pressure. Close to 4 log10 cycles of inactivation of Bacillus subtilis spores were achieved when exposing spores on flat glass to the SMD-CAPP. This effect can be reached at a very low plasma power density of 5 mW/cm2 in 7 min exposure time. The maximum inactivation level of spores drops when treating corn-starch powder to 2.6 log10 cycles at 7 mW/cm2 plasma power density for 5 min and with a polymer load of 5 mg/cm2. Similar is true for films produced with hydroxymethyl cellulose (HMC). The inactivation efficacy can be tuned and is a function of applied surface energy (product of the plasma power density and the exposure time) and the polymer load. Plasma diagnostics reveal the fundamental importance of reactive nitrogen species (RNS) in the inactivation. Etching of spore hull is supposed to be triggered by the plasma density, while UV-C and UV-B radiation do not contribute directly and significantly to the inactivation effect at least in a biopolymer matrix. Fluidization of a fixed powder layer is supposed to overcome limitations of the inactivation efficacy by reducing the diffusion distance of active plasma species between the source and the sample. The combination of low plasma power density with short treatment time is supposed to reduce the risk of the formation of side-products from the matrix.

Interfacing Brownian dynamics simulations.

Starting from the flux of particles in a Brownian dynamics simulation we derive boundary conditions, which allow us (i) to couple a Brownian dynamics calculation to a reservoir of particles of a given density, i.e., setting up constant density boundary conditions, and (ii) to build an interface between Brownian dynamics and a diffusional treatment of adjacent simulation volumes. With these algorithms it is sometimes possible to dramatically reduce the system size--and therefore the necessary resources--of multiparticle Brownian dynamics calculations. In this paper we give one-dimensional examples which illustrate potential applications and savings.

Brownian dynamics simulations of simplified cytochrome c molecules in the presence of a charged surface.

Simulations were performed for up to 150 simplified spherical horse heart cytochrome c molecules in the presence of a charged surface, which serves as an approximate model for a lipid membrane. Screened electrostatic and short-ranged attractive as well as repulsive van der Waals forces for interparticle and particle-membrane interactions are utilized in the simulations. At a distance from the membrane, where particle-membrane interactions are negligible, the simulation is coupled to a noninteraction continuum analogous to a heat bath [Geyer et al., J. Chem. Phys. 120, 4573 (2004)]. From the particles' density profiles perpendicular to the planar surface binding isotherms are derived and compared to experimental results [Heimburg et al. (1999)]. Using a negatively charged structureless membrane surface a saturation effect was found for relatively large particle concentrations. Since biological membranes often contain membrane proteins, we also studied the influence of additional charges on our model membrane mimicking bacterial reaction centers. We find that the onset of the saturation occurs for much lower concentrations and is sensitive to the detailed implementation. Therefore we suggest that local distortion of membrane planarity (undulation), or lipid demixing, or the presence of charged integral membrane proteins create preferential binding sites on the membrane. Only then do we observe saturation at physiological concentrations.