Inhibition performances of graphene oxide/silver nanostructure for the microbial corrosion: molecular dynamic simulation study.

Steel is one of the mainly used materials in the oil and gas industry. However, it is susceptible to the marine corrosion, which 20% of the total marine corrosion is caused by microbiologically influenced corrosion (MIC). The economic and environmental impacts of corrosion are significant, and it is crucial to fight against corrosion in a proper sustainability context and environmental-friendly methods. In this study, the graphene oxide/silver nanostructure (GO-Ag) inhibitory effect on the corrosion of steel in the presence of sulfate reducing bacteria (SRB) was investigated, via weight loss (WL) and Tafel polarization measurements. Moreover, molecular dynamic (MD) simulations were performed to obtain a deep understanding of the corrosion inhibition effect of GO-Ag. GO-Ag showed a significant antibacterial effect at 80 ppm. Moreover, WL and Tafel polarization measurements illustrated a great inhibition efficiency, which reached up to 84% reduction of WL and 98% reduction of corrosion current density (Icorr) after 7 days of incubation with GO-Ag. Based on MD simulations, bonding energy reached to the larger value in the presence of GO-Ag, which indicated the ability of graphene oxide nanosheets to be adsorbed on the steel surface and prevent the access of corrosive agents to the steel surface. The radial distribution function (RDF) results implied distance between corrosive agent (water and SRB) and steel surface (Fe atoms), which indicated protection of the steel surface due to the effective adsorption of GO nanosheets through the active sites of the steel surface. The mean square displacement (MSD) result showed smaller displacement of the corrosive particles on the surface of steel, resulting that the GO-Ag molecules bonded with Fe molecules on the surface of steel.

Polyhydroxybutyrate Production from Natural Gas in A Bubble Column Bioreactor: Simulation Using COMSOL.

In this study, the simulation of microorganism ability for the production of poly-ß-hydroxybutyrate (PHB) from natural gas (as a carbon source) was carried out. Based on the Taguchi algorithm, the optimum situations for PHB production from natural gas in the columnar bubble reactor with 30 cm length and 1.5 cm diameter at a temperature of 32 °C was evaluated. So, the volume ratio of air to methane of 50:50 was calculated. The simulation was carried out by COMSOL software with two-dimensional symmetric mode. Mass transfer, momentum, density-time, and density-place were investigated. The maximum production of biomass concentration reached was 1.63 g/L, which shows a 10% difference in contrast to the number of experimental results. Furthermore, the consequence of inlet gas rate on concentration and gas hold up was investigated Andres the simulation results were confirmed to experimental results with less than 20% error.

Molecular dynamics studies of polysaccharide carrier based on starch in dental cavities.

Health is an important element that influences the level of development in a community. Studies show that tooth decay has been prevalent recently. Starch incorporating curcumin can serve as an alternative approach in preventing the activity of Streptococcus mutans attributed to biofilm and plaque formation on teeth. In this research, the performance of starch nanoparticle as a carrier for curcumin, a natural anti-inflammatory and a strong antioxidant agent, in decreasing dental caries was simulated. In the first stage, the conformational rearrangements of molecules and their interactions with other molecular species in a range of environments were examined via computational techniques and molecular dynamics (MD) simulation. The charts of energy, temperature, density, cell size and the radial distribution function (RDF) derived from the simulation, confirmed that during 5 initial steps there was a stable binding between the curcumin and starch in the presence of bacteria. The energy released in the starch formed nanosphere is very high, and this indicates a full reaction in the system. However, the density-decreasing trend of nanosystem suggests that it can effectively inhibit the activity of microorganism.

Effect of zero-valent iron/starch nanoparticle on nitrate removal using MD simulation.

In this study, the efficacy of zero-valent iron nanostructure modified by starch for removal of nitrate was investigated. Effect of zero-valent iron/starch nanoparticle in the presence of Thiobacillus dinitrificans for removal of nitrate was simulated via material studio software. Thermodynamic principles and proper equations were used via molecular dynamic (MD) simulation. The results of software predictions were demonstrated by radial distribution function (RDF), density, potential energy and temperature graphs. According to the graphs, the simultaneous in the presence of zero-valent iron/starch nanoparticle and Thiobacillus dinitrificans increase the removal efficiency of nitrate reached 91% and in the absence of nanoparticle was 44.44%.

Fe/starch nanoparticle - Pseudomonas aeruginosa: Bio-physiochemical and MD studies.

In this research, we attempt to study biosurfactant production by Pseudomonas aeruginosa using Fe/starch nanoparticles. Fe/starch showed no bacterial toxicity at 1 mg/ml and increased the growth rate and biosurfactant production up to 23.91 and 20.62%, respectively. Surface tension, dry weight cell, and emulsification indexes (E24) were measured. Biosurfactant production was considered via computational techniques and molecular dynamic (MD) simulation through flexible and periodic conditions (by material studio software) as well. The results of software predictions demonstrate by radial distribution function (RDF), density, energy and temperature graphs. According to the present experimental results, increased 30% growth of the bacterium has been observed and the subsequent production of biosurfactant. The difference between the experimental results and simulation data were achieved up to 0.17 g/cm3, which confirms the prediction of data by the software due to a difference of less than 14.5% (ideal error value is 20%).

Molecular dynamic of curcumin/chitosan interaction using a computational molecular approach: Emphasis on biofilm reduction.

Nanotechnology-based drug delivery systems have been used to enhance bioavailability and biological activities. Chitosan incorporating curcumin can serve as a biocompatible substitute for metallic nanoparticles in preventing biofilm formation of Streptococcus mutans and plaque on teeth. The interactions between chitosan nanoparticle as a carrier and curcumin, a natural antibacterial agent, were simulated. The binding conformation between curcumin-chitosan was obtained using the Lamarckian Genetic Algorithm in Autodock™ software in chitosan nanoparticle. The interaction stability was examined in the molecular dynamic stages, with isothermal-isobaric ensemble in the CHARMM Force Field. The results showed the root mean square deviation (RMSD) and the root mean square fluctuations (RMSF) for all complex's atoms were relaxed after 4ns (RMSD for the all-atoms was 26.81±0.1 (Å); RMSF 1.13±0.02Å). For each section, the estimation of RMSD, RMSF, radius of gyration, inter-H bond and other analysis confirmed that, during the first interval;10ns, there was a stable binding between the two sections. Although all bindings disappeared from 10 to 20ns, the curcumin was trapped inside the chitosan nanoparticles, and no release took place until 20ns, after which the curcumin began to release. This trend suggests that chitosan nanoparticle has ability to carry the curcumin.