Research Projects

Oscillating Electrolytes

The motion of ions in an electrolyte solution induced by an applied electric field is termed electrophoretic transport. Electrophoretic transport is widely employed in analytical chemistry techniques such as capillary zone electrophoresis, isotachophoresis, and field amplified sample stacking, wherein differential electromigration velocities of ions are used for separation and in some cases preconcentration of ionic species from sample mixtures. The differential electrophoretic velocities of ions lead to a variety of propagating waves in ion concentrations, which are essentially propagating disturbances in the concentration field. Previously, electrophoretic transport phenomenon was thought to exhibit only wave propagation phenomena.

Recently an "oscillating" binary electrolyte system consisting of sebacic acid and imidazole has been discovered that becomes unstable under the influence of electric field. For particular concentrations of sebacic acid and imidazole, small perturbations in initially uniform concentration field amplify over time under applied electric field and result in propagating, oscillatory modes in ion concentrations.

Schematic illustrating the base state and the perturbed state of an unstable electrophoretic system consisting of a binary electrolyte. Initially, the channel is filled uniformly with binary electrolyte consisting of sebacic acid and imidazole. When electric field is applied along the axial direction, the electrophoretic motion of ions induced in the capillary becomes unstable and small perturbations in concentration field grow over time..

Based on linear stability analysis we have explained the physical mechanism of so-called “oscillating electrolyte” systems. We have shown that the unstable behavior is exhibited by binary electrolytes containing multivalent species having unusually high electrophoretic mobilities in higher ionization states. Presence of such multivalent species causes abnormal change in conductivity due to minor disturbances in the concentration field. The abnormal variations in conductivity then alter the local electric field in a way that further destabilizes the electrophoretic transport of ions. We note that oscillating behavior is not observed in a majority of electrophoretic processes. However, in certain electrophoresis experiments local electrolyte composition may be favorable to oscillations leading to spurious gradients in species concentrations.

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Multi-species electrophoresis in presence of surface conduction

Electrophoresis techniques are typically characterized by linear and nonlinear concentration waves (disturbances in species concentration) propagating under the effect of electric field. Linear concentration waves are observed in CZE where analyte concentrations are small compared with those of background electrolyte. Therefore, propagation of analyte zones in CZE does not alter the local electrical conductivity and electric field, resulting in linear waves. For finite amplitude concentration disturbances such as those observed in ITP and during electromigration dispersion in CZE, nonlinearity in electromigration results in formation of shock and rarefaction waves. The nonlinearity results due to the dependence of electromigration flux on local electric field, which in turn depends on the species concentrations through Ohm’s law. In CZE, nonlinear waves are undesirable as they result in unwanted dispersion of analyte zones whereas in ITP, self-sharpening shock waves enable simultaneous preconcentration and separation of analytes between zones of high-mobility (LE) ions and low-mobility trailing electrolyte (TE) ions.

Typically electrophoresis techniques are performed in microchannels where surface conduction through the electric double layer (EDL) at channel walls is negligible compared with bulk conduction. However, when electrophoresis techniques are integrated in nanochannels, shallow microchannels or charged porous media, surface conduction can alter bulk electrophoretic transport. The existing mathematical models for electrophoretic transport in multi-species electrolytes do not account for the competing effects of surface and bulk conduction.

Schematic illustrating the effect of surface conduction through the EDL on bulk electrophoretic transport. We model EDL and bulk solution as resistors in parallel. For an electrophoretic system consisting of a single counter-ionic species (having charge polarity opposite to that of surface charge) and arbitrarily large number of co-ionic species, we model the EDL as delta distribution of counter-ions at the channel walls with vanishingly small thickness.

We have developed mathematical model of multi-species electrophoretic transport incorporating the effects of surface conduction on bulk ion-transport and provide a methodology to derive analytical solutions using the method of characteristics. Based on the analytical solutions, we have described the propagation of nonlinear concentration waves, such as shock and rarefaction waves, and provide the necessary and sufficient conditions for their existence. Our results show that the presence of surface conduction alters the propagation speed of nonlinear concentration waves and the composition of various zones. Importantly, we highlight the role of surface conduction in formation of additional shock and rarefaction waves which are otherwise not present in conventional electrophoresis. Our theory is also applicable for understanding other electrokinetic processes where surface conduction is important, including shock-electrodialysis based water deionization and concentration polarization in DC electro-osmotic pumps.

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Uncertainty Quantification in Modeling and Simulations

Comparison of experimental data with modeling predictions is essential for making quantitative measurements of physical properties, for example, diffusion coefficients and species concentrations in a microfluidic T-sensor. In practice, model parameters are not known exactly due to experimental measurement uncertainty or inherent variabilities. Therefore, deterministic models are unable to quantify uncertainty in the model predictions due to uncertainty in model parameters. Therefore, to make proper comparison between experimental data and modeling predictions, it is necessary to account for uncertainty in modeling and simulation results due to uncertainty in model parameters.

The uncertainty in model parameters which is associated with measurement errors or inherent variability in experiments can be accounted for using stochastic uncertainty quantification techniques. In particular, we employ a non-intrusive stochastic uncertainty propagation approach based on Polynomial Chaos (PC) expansions. Unlike deterministic simulations, in this method the model parameters are treated as uncertain. For each uncertain parameter a new stochastic dimension is used to describe its probability density function. PC expansions are used to describe the dependence of model predictions on these stochastic dimensions. The coefficients or the spectral mode strengths of the PC expansions are then evaluated using numerical quadrature through multiple solutions of the deterministic model. Such an approach readily provides the uncertainty propagation information in terms of PC expansions of model predictions. Knowing the PC expansions of model predictions, the spatial variation of uncertainty and the individual contribution of each uncertain parameter to the overall uncertainty can be computed. We note that uncertainty propagation analysis can also be performed through Monte Carlo (MC) simulations, albeit with unacceptably large number of simulations. Moreover, unlike PC expansion based methods, MC simulations do not provide the coupled contribution of uncertainty in model parameters to the overall uncertainty in model predictions.

We are currently working on stochastic uncertainty quantification methods employing polynomial chaos expansions for quantifying uncertianty in a variety of simulations due to uncertainty in model parameters. For example, recently, we have presented an analysis of uncertainty induced in model predictions of a T-sensor based competitive diffusion immunoassay due to uncertainty in diffusion constants, binding reaction rate constants, and inlet flow speed. Our simulations show that the uncertainties in model parameters lead to significant spatially varying uncertainty in predicted concentration. In particular, the diffusivity of fluorescently labeled probe antigen dominates the overall uncertainty. The predicted uncertainty in fluorescence intensity is minimum near the centerline of T-sensor and relatively high in the regions with gradients in fluorescence intensity. We show that using centerline fluorescence intensity instead of first derivative of fluorescence intensity as the system response for measuring sample antigen concentration in T-sensor based competitive diffusion immunoassay leads to lower uncertainty and higher detection sensitivity.

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Electrohydrodynamic Instabilities in Microchannel Flows

Electrophoretic techniques such as capillary zone electrophoresis, piezoelectric focusing (IEF), and field amplified sample stacking (FASS) are widely used as analytical tools in a variety of fields, including molecular biology, food analysis, and environmental monitoring. All electrophoretic techniques rely upon differential migration velocities of ionic species in electrolyte solutions, under applied electric field, to segregate constituent species of a complex mixture into distinct zones. Electrophoretic processes often involve conductivity gradients due to mismatch in sample and background electrolyte conductivity. In certain electrophoretic techniques such as FASS conductivity gradient is intentionally generated to enable sample stacking due to non-uniform electric field.

Streamlines obtained by linear stability analysis showing destabilizing electrohydrodynamic (EHD) flow in a system with colinear conductivity gradient and electric field. In this problem, an upward pointing electric field is applied externally. Charge accumulated at the interface separating high- and low-conductivity zones due to non-uniform electric field in turn couples with electric field to apply a destabilizing electric body force on the fluid.

Presence of conductivity gradients along with high-electric field often lead to undesirable phenomena of electrohydrodynamic (EHD) instabilities. Such instabilities result from the coupling of electric field and fluid motion in the regions with strong conductivity gradients. Non-uniformity in electric field associated with a gradient in conductivity leads to accumulation of bulk charge in the electrolyte solution. This bulk charge in the solution in turn couples with the local electric field to apply a destabilizing electric body force on the fluid. Rapid mixing induced by EHD instabilities can significantly deteriorate the performance of electrophoretic processes, particularly in microfluidic devices where shorter dimensions allow higher electric fields. Therefore, investigation of EHD instabilities and devising methodologies to inhibit such undesirable phenomenon is of paramount interest. Contrary to their detrimental effects on electrophoretic separations, EHD instabilities can be useful for active mixing of multiple fluid streams with different conductivity in microfluidic systems. In designing such micromixers, it is preferred that the onset of EHD instability occurs at lower electric fields. We are using theoretical and experimental methods to come up with guidelines for optimal operational parameters to inhibit EHD flows in microscale electrophoresis, and to promote EHD instabilities in micromixers.

High-Fidelity Simulations of Microscale Electrokinetic Flows

Electrokinetic transport phenomenon deals with motion of ions and fluids under electric field, and involves complex interaction of electrical, chemical, and hydrodynamic effects. The nonlinearities associated with these coupled physicochemical processes pose significant challenges in understanding the underlying physics of observed phenomena. However, the complexity of nonlinear electrokinetic transport phenomenon also provides diverse possibilities for separation, preconcentration, and detection of ionic species in miniaturized microfluidic devices. Example applications of microscale electrokinetic transport include, separation of nucleic acids and proteins from biological samples, detection of trace amounts of pollutants and toxins in environment, and determination of additives and contaminants in foodstuffs.

Schematic showing various physical features that should be included in a high-fidelity electrokinetics simulation tool. Our simulation tool will enable numerical solutions of multi-dimensional electromigration-diffusion equations for non-linear electrophoresis problems in arbitrary channel geometries. The code will use an adaptive grid refinement scheme to ensure accurate and non-oscillatory solutions while using lesser grid points. The simulation code would also include physical modules for calculation of multispecies chemical equilibrium, and correction of electrophoretic mobilities and acid-base equilibria for finite ionic strength.

Numerical simulations offer an invaluable tool for understanding and optimizing non-linear electrokinetic flows in complex microfluidic devices. Despite the progress in electrokinetics simulations over past three decades, majority of computational studies are limited to one- dimensional problems, wherein electrokinetic and hydrodynamic effects are often decoupled. We are working towards extending the existing state-of-the-art of electrokinetic simulations by developing an in-house, three-dimensional numerical solver for coupled species electromigration-diffusion- reaction and Navier-Stokes equations. We will use this simulation tool to investigate nonlinear dynamics of microscale electrokinetic ion-transport in problems where multi-dimensional effects are important, including electrokinetic instabilities and shape optimization of microfluidics devices.

Micro heat pipes with wettability gradients

Continuous miniaturisation of electronics and increase in integration levels pose challenges in thermal management of microelectronic components. As the failure rate of microelectronic chips increases exponentially with the operating temperature, cooling of chips is essential to ensure reliable operation. Micro heat pipes (MHPs) offer an efficient means of passively removing heat from microelectronic equipment using phase change phenomenon.

A typical MHP consists of a channel with sharp edges filled with a working fluid. The sharp edges of the heat pipe allow liquid flow due to capillary action, while the vapour flows through the inner core of channel. The figure below shows a typical triangular cross-section MHP consisting of evaporator, adiabatic, and condenser sections. Heat input to the evaporator section vaporises the working fluid. The local increase in vapour pressure in the evaporator section drives the vapour to relatively cooler condenser section. The vapour condenses back to liquid in the condenser section and rejects the latent heat. The loss of liquid in the evaporator section results in reduced radius of curvature of the liquid meniscus. Whereas, the increase of liquid in the condenser section causes the local radius of curvature of meniscus to increase. Consequently, a pressure gradient develops in the liquid which drives the liquid from the condenser to the evaporator section, thereby completing the cycle. Although MHPs offer a reliable and passive chip cooling solution, MHP arrays in their current state can only transfer heat of order 10 W/ Therefore, any further improvement in the maximum heat transfer capacity of MHPs will help in dealing with growing challenges of thermal management of microelectronics.

Schematic illustrating general working principle of an MHP heat pipe. Heat addition to the evaporator section vaporizes the working fluid and results in locally higher temperature and vapour pressure. Consequently, the vapour flows to the cooler condenser section where it condenses back to liquid. The condensed liquid subsequently returns to the evaporator section via capillary action through the wicks on the inner surface or due to capillary action along the sharp corners

We have shown a new method of improving the thermal performance of MHPs by creating gradients in the wettability of inner surface of MHPs. To quantify the effect of wettability gradients on heat transfer capacity of MHPs, we have developed a one-dimensional mathematical model for MHP which accounts for axial variations in solid–liquid contact angle. We considered different wettability schemes, including uniform, step-variation, and linear variation in wettability of the inner surface of MHP. Our model predictions show that among the uniformly wetting MHPs, higher wettability surfaces show better thermal performance than the lower wetting surfaces. Interestingly, our calculations show that MHPs with higher wetting evaporator and lower wetting condenser can exhibit even better thermal performance than the MHP with corresponding uniformly higher wetting surface. We also showed that the enhancement in maximum heat transfer capacity of MHP due to wettability gradients occurs for a variety of working fluids such as water, ammonia, heptane, acetone, and methanol.

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