ABSTRACT
During automotive engine operation, water may contaminate engine oil, inhibiting its role in maintaining safe engine operation. In many cases, engine oil must be capable of emulsifying any water contamination to avoid such problems. This study focuses on the impact of small molecule surfactant concentration structure and concentration in emulsions comprised of engine oil, water, and E85 fuel to understand the effects on emulsion stability and formulation optimization. Three small molecule surfacatants were tested; glycerol dioleate (GDO), glyceryl monooleate (GMO), and oleamide (OA). Three characterization methods were used to investigate their effects; the current state of the art, ASTM D7563, microscopy, and diffusing wave spectroscopy (DWS). We found that DWS could yield insights into mechanisms of emulsion stability that are otherwise inaccessible through other experimental techniques. Specifically, utilizing DWS, we are able to extract specific emulsion stability mechanisms associated directly with molecular features for the three surfactants examined.
ABSTRACT
We report here an overview of current trends and a selection of recent results regarding the characterization of emulsions by Diffusing Wave Spectroscopy (DWS). We provide a synopsis of the state of the art of the DWS technique, and a critical discussion of experiments performed on samples in which Brownian and ballistic dynamics coexist. A novel analysis scheme is introduced for DWS experiments on creaming or sedimenting emulsions, allowing to extract not only average values for drop size and drop dynamics - as usual in DWS - but also properties related to the width of the distributions governing these quantities. This analysis scheme starts from a realistic Monte Carlo simulation of light diffusing in the volume of the sample and reaching the detector. This simulation is more accurate than the analytical expressions available for the idealized geometries normally used in DWS interpretation. By disentangling Brownian and ballistic motions we directly access the variance of velocity distribution, σv. In relatively unstable emulsions σv governs the frequency of drop-drop collisions and subsequent coalescence events. Furthermore, when gravity dominates dynamics, as in emulsions subject to sedimentation or creaming, σv is strongly related to the 2nd and 4th moments of drop size distribution. This novel analysis scheme is exemplified investigating freshly formed model emulsions. Results are validated by comparison with microscopy imaging. This analysis is then extended to emulsions with a much broader drop size distribution, resembling those that are planned to be investigated in microgravity by the Soft Matter Dynamics facility onboard the International Space Station (ISS). This review is concluded by sketching some promising directions, and suggesting useful complementarities between DWS and other techniques, for the characterization of transient regimes in emulsions, and of destabilization processes of great practical importance.
ABSTRACT
Fixed bed supports of various materials (metal, ceramic, polymer) and geometries are used to enhance the performance of many unit operations in chemical processes. Consider first metal and ceramic monolith support structures, which are typically extruded. Extruded monoliths contain regular, parallel channels enabling high throughput because of the low pressure drop accompanying high flow rate. However, extruded channels have a low surface-area-to-volume ratio resulting in low contact between the fluid phase and the support. Additive manufacturing, also referred to as three dimensional printing (3DP), can be used to overcome these disadvantages by offering precise control over key design parameters of the fixed bed including material-of-construction and total bed surface area, as well as accommodating system integration features compatible with continuous flow chemistry. These design parameters together with optimized extrinsic process conditions can be tuned to prepare customizable separation and reaction systems based on objectives for chemical process and/or the desired product. We discuss key elements of leveraging the flexibility of additive manufacturing to intensification with a focus on applications in continuous flow processes and disperse, multiphase systems enabling a range of scalable chemistry spanning discovery to manufacturing operations.
ABSTRACT
The main aim of this work was to 3D print metformin HCl-loaded PVA (ML-PVA) tablets by fused deposition modeling. A modified solvent diffusion approach was used to improve drug loading. PVA filaments were placed in metformin HCl solution in ethanol containing low water content (10%(v/v)) to enhance the drug's solubility. The physicochemical properties of ML-PVA filaments were characterized before and after printing. Lastly, ML-PVA filaments were printed into channeled tablet designs to increase their surface area available for dissolution. The loading of metformin HCl onto PVA filament has significantly increased from 0.08 ± 0.02% in metformin HCl solution in absolute ethanol to 1.40 ± 0.02% in ethanol-water (9:1). The IR spectra of PVA filament soaked in ethanol-water depicted higher peak intensity at 1138 cm-1, indicating higher degree of crystallinity. Thermal analysis of the soaked PVA filaments showed higher melting enthalpies yet lower melting temperature (Tm) compared to unprocessed PVA. ML-PVA filaments were successfully printed into round-channeled tablets (10% infill) with higher surface area and area/volume ratios compared with the solid ones. The inclusion of channels in the tablet design modified their printing pattern causing an unexpected increase in their mass. The dissolution profiles of ML-PVA tablets were mainly dependent on their area/mass ratios. Our results show a simple approach to increase metformin HCl loading onto PVA and reveal the significance of tablet design, infill percentage, and printing pattern as they dictate the area, volume, and the mass of the tablet which impact its dissolution rate.