Publications

The manifold tunable properties of nanoporous carbon materials, including high surface area, stability, conductivity, rich surface chemistry, and biocompatibility, render them a perfect platform for energy applications, catalysis, nanoseparation, and drug delivery. Here, we construct models of nanoporous carbon materials and unveil the molecular determinants of solvent nanoseparation and diffusion using coarse-grained molecular dynamics. The best nanoseparation is achieved with pore diameters just above size exclusion, and surface oxidation is the major selective modifier of diffusion of polar molecules in solvent mixtures. The shape of the solvents and, less significantly, the geometry of the pore network also influence nanoseparation. The derived Markov state model estimates the probability of a molecule following a certain path in the material. Our framework for material construction, simulation, and analysis provides a robust foundation for future investigations on how nanoseparation in nanoporous materials is governed by the interplay of surface chemistry, pore geometry, and molecular properties.

JTD Keywords: Alkane, Automation, Binary-mixtures, Force-field, Model, Ordered mesoporous carbon, Performance, Size, Water

JTD Keywords: added value chemicals, amino-acids, catalytic-hydrogenation, climate, design, electrochemical reduction, electroreduction, green co2 conversion to ethanol, nitrogen, photocatalytic reduction, polarized hydroxyapatite, recycling co2, sea-level, Acetone, Added value chemicals, Added-value chemicals, C-c coupling, Calcium apatites, Carbon dioxide, Carbon-dioxide, Co 2 reduction, Co2 reduction, Ethanol, Green co2 conversion to ethanol, Hard tissues, Hydroxyapatite, Mixtures, Morphology, Morphology and composition, Naturally occurring, Organic carbon, Phosphate minerals, Polarized hydroxyapatite, Recycling co2

Membrane fission triggered by the endosomal sorting complex required for transport (ESCRT) is an important process observed in several pathogenic and non-pathogenic cellular events. From a synthetic-biology viewpoint, ESCRT proteins represent an interesting machinery for the construction of cell mimetic sub-compartments produced by fission. Since their discovery, the studies on ESCRT-III-mediated action, have mainly focused on protein dynamics, ignoring the role of lipid organization and membrane phase state. Recently, it has been suggested that membrane buds formed by the action of ESCRT-III are generated from transient microdomains in endosomal membranes. However, the interplay between membrane domain formation and ESCRT remodeling pathways has not been investigated. Here, giant unilamellar vesicles made of ternary lipid mixtures, either homogeneous in phase or exhibiting liquid-ordered/liquid-disordered phase coexistence, were employed as a model membrane system. These vesicles were incubated with purified recombinant ESCRT-III proteins from the parasite Entamoeba histolytica. In homogeneous membranes, we observe that EhVps32 can trigger domain formation while EhVps20 preferentially co-localizes in the liquid disordered phase. The addition of EhVps24 appears to induce the formation of intraluminal vesicles produced from the liquid-ordered phase. In phase separated membranes, the intraluminal vesicles are also generated from the liquid-ordered phase and presumably emerge from the phase boundary region. Our findings reinforce the hypothesis that ESCRT-mediated remodeling depends on the membrane phase state. Furthermore, the obtained results point to a potential synthetic biology approach for establishing eukaryotic mimics of artificial cells with microcompartments of specific membrane composition, which can also differ from that of the mother vesicle.

JTD Keywords: cell-membranes, coexistence, complex, escrt-iii, fission, guvs, lipid domains, lipid rafts, membrane fission, microcompartments, microscopy, phase separation, plasma-membrane, protein microarrays, structural basis, ternary mixtures, Escrt-iii, Giant unilamellar vesicles, Guvs, Lipid domains, Membrane fission, Microcompartments, Phase separation, Ternary mixtures

Although Metal Oxide (MOX) sensors are predominant choices to perform fundamental tasks of chemical detection, their use has been mainly limited to relatively controlled scenarios where a gas sensor array is first exposed to a reference, then to the gas sample, and finally to the reference again to recover the initial state. In this paper we propose the use of MOX sensors along with Reservoir Computing algorithms to identify chemicals of interest. Our approach allows continuous gas monitoring in simple experimental setups without the requirement of acquiring recovery transient of the sensors, thereby making the system specifically suitable for online monitoring applications.

JTD Keywords: Chemical sensing, Reservoir computing, Gas sensors, Dynamic gas mixtures, Electronic nose