Presentation Name Name of Recipient/Forum NAME OF PRESENTER PRESENTATION DATE Molecular Simulations of Repellant Surfaces for Chemical Biological Defense.

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Presentation transcript:

Presentation Name Name of Recipient/Forum NAME OF PRESENTER PRESENTATION DATE Molecular Simulations of Repellant Surfaces for Chemical Biological Defense LAMMPS Users' Workshop and Symposium Craig K. Knox, Jerry B. Cabalo, Gary K. Kilper, Stephanie Ihejirika August 8, 2013 Approved for public release

CB Defense Chem AgentsBio Agents The CB in CBRNe (Chemical, Biological, Radiological, Nuclear, and explosives) bacterium, virus, protozoan, parasite, fungus, or toxin Anthrax (Bacillus anthracis) HD (Mustard) GB (Sarin) VX DetectionProtectionDecontamination Wikipedia and Venezuelan equine encephalitis virus Ricin Approved for public release

The Lotus Leaf covered in forest of ~100nm pillars on ~10µm knobs, 30µm spacing very clean because superhydrophobic, very low binding energy to particles design similar synthetic surfaces? contact angle > 150° thanks Wikipedia and webApproved for public release

Rust-Oleum® NeverWet NeverWet™ has “designed a coating that repels dirty water and thick oils, and that remains clean and virtually bacteria-free. When dust, dirt or other molecules accumulate on our surfaces, a light spray of water grabs the dust. Because the water is repelled by our superhydrophobic surface, it then simply rolls away.” Approved for public release

Self-Cleaning Clothes Dr. Quoc Truong (Natick, in collab. w/ MIT & Luna Innovations, Inc.) What? superomniphobic fabric coatings with nano and micro-structures (repeating ‘pimples’ pattern) inspired from Lotus leaf omni = hydro (water) + oleo (oil) Requires: high contact angle, moisture/vapor permeability, laundering, wash durability, abrasion resistance, tensile strength, air permeability, and flexibility Wish List: flame-resistance odor-free antimicrobial multifunctional What about chem/bio agents and toxic industrial chemicals? VX in addition to dirt/dust/mud, solvents/oils, water… Approved for public release

BclA monomer Exosporium Hairs PA. Bullough et al., “Surface architecture of endospores of the Bacillus cereus/anthracis/thuringiensis family at the subnanometer scale,” PNAS,108: (2011) BclA glycoprotein of exosporium “[exosporium] may be the basis of the hydrophobicity of spores and, thereby, play a role in adhesion both in the environment and in vivo.” P. Turnbull, Ed., Anthrax in humans and animals - 4th ed., World Health Organization, Geneva, Switzerland, 2008, p.60 BclA trimer bacterial spore EM of B. anthracis spore showing exosporium schematic of exosporium basal layer and hairy-nap (hirsute layer) ~2  m spore ~70 nm hairs BJ Moberly, et al., J Bacteriol July; 92(1): 220–228 Approved for public release

used classical molecular mechanics (LAMMPS) with LJ but no Coulomb (because of uncharged surface) and large cutoff modeled a 26nm rigid BclA protein ball (hollow) above silicon surface with cones of different sizes moved ball over surface (in xy-plane) and up/down (z-axis) and calc. binding energy at each location (single-point energy calc) weakest binding energies occurred when contact area was minimized Strongest binding occurs when particle slips between cones 10 nm Solid Protein Aerosol Approved for public release

LAMMPS Binding Energy Calc. E bind = E sys – (E surf + E part ) Normally requires 3 separate simulations to calculate the energy of the entire system, the surface in isolation, and the particle in isolation. LAMMPS’ “compute group/group” allows quick calculation of E bind from only 1 sim by directly calculating interaction energy between surface and particle groups of atoms. NOTE: this is potential not free energy. Approved for public release

Liquid Dynamics Switched to a much more difficult problem: water, which loves binding to silicon. Used different amounts and spacings of Si cones. Filled the volume above the surface with water (rigid SPC/E model) Found that the binding energy increased with the silicon surface’s area, but decreased when the cones were more tightly packed. Used PPPM long-range electrostatics and performed MD NVT More cones increases surface area. Packing the cones tighter decreases BE Approved for public release

Results solvent accessible surface area (SASA), wettability (water surface coverage), and binding energy vs. cone density (gap spacing) Approved for public release

more difficult problem: water, which loves binding to silicon 6nm droplet silicon surface in vacuum flat surface 1 ns duration High wetting High binding E Liquid Droplets Approved for public release

2 x 2 cones, 4 nm tall and 4 nm apart cones spaced farther apart Slower and milder wetting Slower Wetting Approved for public release

6 x 6 cones, 4 nm tall and 2 nm apart Slower Still… many cones 1000 ps duration Little wetting Low binding E next try VX also try fractal surface to repel broad size range Approved for public release

Summary and Future Directions key to a broadly repellant surface: minimization of contact area Future Work: make fractal surface pattern vary particle size model VX droplets and other surface chemistries Approved for public release

Thanks