High-speed, clinical-scale microfluidic generation of stable phase-change droplets for gas embolotherapy

In this study we report on a microfluidic device and droplet formation regime capable of generating clinical-scale quantities of droplet emulsions suitable in size and functionality for in vivo therapeutics. By increasing the capillary number-based on the flow rate of the continuous outer phase-in our flow-focusing device, we examine three modes of droplet breakup: geometry-controlled, dripping, and jetting. Operation of our device in the dripping regime results in the generation of highly monodisperse liquid perfluoropentane droplets in the appropriate 3-6 μm range at rates exceeding 10(5) droplets per second. Based on experimental results relating droplet diameter and the ratio of the continuous and dispersed phase flow rates, we derive a power series equation, valid in the dripping regime, to predict droplet size, D(d) approximately equal 27(Q(C)/Q(D))(-5/12). The volatile droplets in this study are stable for weeks at room temperature yet undergo rapid liquid-to-gas phase transition, and volume expansion, above a uniform thermal activation threshold. The opportunity exists to potentiate locoregional cancer therapies such as thermal ablation and percutaneous ethanol injection using thermal or acoustic vaporization of these monodisperse phase-change droplets to intentionally occlude the vessels of a cancer.     

Tunable 3D droplet self-assembly for ultra-high-density digital micro-reactor arrays

We present a tunable three-dimensional (3D) self-assembled droplet packing method to achieve high-density micro-reactor arrays for greater imaging efficiency and higher-throughput chemical and biological assays. We demonstrate the capability of this platform's high-density imaging method by performing single molecule quantification using digital polymerase chain reaction, or digital PCR, in multiple self-assembled colloid-like crystal lattice configurations. By controlling chamber height to droplet diameter ratios we predictively control three-dimensional packing configurations with varying degrees of droplet overlap to increase droplet density and imaging sensor area coverage efficiency. Fluorescence imaging of the densely packed 3D reactor arrays, up to three layers high, demonstrates high throughput quantitative analysis of single-molecule reactions. Now a greater number of microreactors can be observed and studied in a single picture frame without the need for confocal imaging, slide scanners, or complicated image processing techniques. Compared to 2D designs, tunable 3D reactor arrays yield up to a threefold increase in density and use 100% of the sensor's imaging area to enable simultaneous imaging a larger number of reactions without sacrificing digital quantification performance. This novel approach provides an important advancement for ultra-high-density reactor arrays.     

A crystallinity study of dental tissues and tartar by infrared spectroscopy

In this paper we report a study of an important property of biomineralized phases, crystallinity, on the basis of previous results for synthetic apatite. Crystallinity is not only important for understanding biomineralization, it is also related to the maturation and mechanisms of growth of calcium phosphates in biological surroundings. We studied two kinds of sample, teeth as an example of biomineralized tissues and dental calculi (adhering) as an example of mineralization without participation of biological agents, except possibly bacteria. The investigation focused on study of ν(1)-ν(3) infrared absorption bands of PO(4)(3-) phosphates. We used ATR (attenuated total reflection) analysis to examine human dental tissues and tartar on several samples. The results confirm for the first time previous assumptions about the growth and maturation of dental calculi, i.e., crystallinity progresses from regions of high crystallinity to regions of lower crystallinity, and, in addition, its quantification with spatial resolution in the sample. A gradual pattern was observed in dental calculus. Another result from this study was that cementum and dentine had similar crystallinity, despite their different biological and mechanical functions.     

Cleavage of carbene-stabilized disilicon

Reaction of carbene-stabilized disilicon L:Si═Si:L (L: = :C{N(2,6-Pr(i)(2)C(6)H(3))CH}(2), 1) with BH(3)·THF results in facile cleavage of the silicon-silicon double bond and the formation of two quite different "push-pull" stabilized products with borane- and carbene-coordinated silylene moieties: 2, containing a parent silylene (:SiH(2)); and 3, containing a unique three-membered cyclosilylene.     

Active-site-accessible, porphyrinic metal-organic framework materials

On account of their structural similarity to cofactors found in many metallo-enzymes, metalloporphyrins are obvious potential building blocks for catalytically active, metal-organic framework (MOF) materials. While numerous porphyrin-based MOFs have already been described, versions featuring highly accessible active sites and permanent microporosity are remarkably scarce. Indeed, of the more than 70 previously reported porphyrinic MOFs, only one has been shown to be both permanently microporous and contain internally accessible active sites for chemical catalysis. Attempts to generalize the design approach used in this single successful case have failed. Reported here, however, is the synthesis of an extended family of MOFs that directly incorporate a variety of metalloporphyrins (specifically Al(3+), Zn(2+), Pd(2+), Mn(3+), and Fe(3+) complexes). These robust porphyrinic materials (RPMs) feature large channels and readily accessible active sites. As an illustrative example, one of the manganese-containing RPMs is shown to be catalytically competent for the oxidation of alkenes and alkanes.     

Optimization of parameters for molecular dynamics simulation using smooth particle-mesh Ewald in GROMACS 4.5

Based on our critique of requirements for performing an efficient molecular dynamics simulation with the particle-mesh Ewald (PME) implementation in GROMACS 4.5, we present a computational tool to enable the discovery of parameters that produce a given accuracy in the PME approximation of the full electrostatics. Calculations on two parallel computers with different processor and communication structures showed that a given accuracy can be attained over a range of parameter space, and that the attributes of the hardware and simulation system control which parameter sets are optimal. This information can be used to find the fastest available PME parameter sets that achieve a given accuracy. We hope that this tool will stimulate future work to assess the impact of the quality of the PME approximation on simulation outcomes, particularly with regard to the trade-off between cost and scientific reliability in biomolecular applications.     

Performance enhancements for GROMACS nonbonded interactions on BlueGene

Several improvements to the previously optimized GROMACS BlueGene inner loops that evaluate nonbonded interactions in molecular dynamics simulations are presented. The new improvements yielded an 11% decrease in running time for both PME and other kinds of GROMACS simulations that use nonbonded table look-ups. Some other GROMACS simulations will show a small gain.     

Abraham Model Correlations for Transfer of Neutral Molecules to Tetrahydrofuran and to 1,4-Dioxane,and for Transfer of Ions to Tetrahydrofuran

Data have been compiled from the published literature for the partition coefficients of solutes and vapors into anhydrous tetrahydrofuran and 1,4-dioxane. The logarithms of the water-to-ether partition coefficients, log₁₀ P, and gas-to-ether partition coefficients, log₁₀ K, were correlated with the Abraham solvation parameter model. The derived correlations described the observed log₁₀ P and log₁₀ K values for both ether solvents to within average standard deviations of 0.16 log₁₀ units or less. The log₁₀ P correlation for tetrahydrofuran was extended to include the partition of ions by inclusion of a cation-solvent and an anion-solvent term.     

Modeling of flow in a polymeric chromatographic monolith

The flow behavior of a commercial polymeric monolith was investigated by direct numerical simulations employing the lattice-Boltzmann (LB) methodology. An explicit structural representation of the monolith was obtained by serial sectioning of a portion of the monolith and imaging by scanning electron microscopy. After image processing, the three-dimensional structure of a sample block with dimensions of 17.8 μm × 17.8 μm × 14.1 μm was obtained, with uniform 18.5 nm voxel size. Flow was simulated on this reconstructed block using the LB method to obtain the velocity distribution, and in turn macroscopic flow properties such as the permeability and the average velocity. The computed axial velocity distribution exhibits a sharp peak with an exponentially decaying tail. Analysis of the local components of the flow field suggests that flow is not evenly distributed throughout the sample geometry, as is also seen in geometries that exhibit preferential flow paths, such as sphere pack arrays with defects. A significant fraction of negative axial velocities are observed; the largest of these are due to flow along horizontal pores that are also slightly oriented in the negative axial direction. Possible implications for mass transfer are discussed.     

Protein adsorption and transport in dextran-modified ion-exchange media. II. Intraparticle uptake and column breakthrough

Protein transport behavior was compared for the traditional SP Sepharose Fast Flow and the dextran-modified SP Sepharose XL and Capto S resins. Examination of the dynamic binding capacities (DBCs) revealed a fundamental difference in the balance between transport and equilibrium capacity limitations when comparing the two resin classes, as reflected by differences in the locations of the maximum DBCs as a function of salt. In order to quantitatively compare transport behavior, confocal microscopy and batch uptake experiments were used to obtain estimates of intraparticle protein diffusivities. For the traditional particle, such diffusivity estimates could be used to predict column breakthrough behavior accurately. However, for the dextran-modified media, neither the pore- nor the homogeneous-diffusion model was adequate, as experimental dynamic binding capacities were consistently lower than predicted. In examining the shapes of breakthrough curves, it was apparent that the model predictions failed to capture two features observed for the dextran-modified media, but never seen for the traditional resin. Comparison of estimated effective pore diffusivities from confocal microscopy and batch uptake experiments revealed a discrepancy that led to the hypothesis that protein uptake in the dextran-modified resins could occur with a shrinking-core-like sharp uptake front, but with incomplete saturation. The reason for the incomplete saturation is speculated to be that protein initially fills the dextran layer with inefficient packing, but can rearrange over time to accommodate more protein. A conceptual model was developed to account for the partial shrinking-core uptake to test whether the physical intuition led to predictions consistent with experimental behavior. The model could correctly reproduce the two unique features of the breakthrough curves and, in sample applications, parameters found from the fit of one breakthrough curve could be used to adequately match breakthrough at a different flow rate or batch uptake behavior.