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Resolving Anomalies in Predicting Electrokinetic Energy Conversion Efficiencies of Nanofluidic Devices.

Majumder S, Dhar J, Chakraborty S - Sci Rep (2015)

Bottom Line: We devise a new approach for capturing complex interfacial interactions over reduced length scales, towards predicting electrokinetic energy conversion efficiencies of nanofluidic devices.By embedding several aspects of intermolecular interactions in continuum based formalism, we show that our simple theory becomes capable of representing complex interconnections between electro-mechanics and hydrodynamics over reduced length scales.The present model, thus, may be employed to rationalize the discrepancies between low energy conversion efficiencies of nanofluidic channels that have been realized from experiments, and the impractically high energy conversion efficiencies that have been routinely predicted by the existing theories.

View Article: PubMed Central - PubMed

Affiliation: Department of Mechanical Engineering, Indian Institute of Technology Kharagpur Kharagpur 721302, INDIA.

ABSTRACT
We devise a new approach for capturing complex interfacial interactions over reduced length scales, towards predicting electrokinetic energy conversion efficiencies of nanofluidic devices. By embedding several aspects of intermolecular interactions in continuum based formalism, we show that our simple theory becomes capable of representing complex interconnections between electro-mechanics and hydrodynamics over reduced length scales. The predictions from our model are supported by reported experimental data, and are in excellent quantitative agreement with molecular dynamics simulations. The present model, thus, may be employed to rationalize the discrepancies between low energy conversion efficiencies of nanofluidic channels that have been realized from experiments, and the impractically high energy conversion efficiencies that have been routinely predicted by the existing theories.

No MeSH data available.


Comparison of the present model predictions (denoted by circular markers) with experimental findings 32 (denoted by diamond markers) of the streaming conductance for various electrolyte concentrations.The solid line represents the predictions of the theoretical model used in the same experimental study. Credited authors: S. Majumder, J. Dhar and S. Chakraborty.
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f6: Comparison of the present model predictions (denoted by circular markers) with experimental findings 32 (denoted by diamond markers) of the streaming conductance for various electrolyte concentrations.The solid line represents the predictions of the theoretical model used in the same experimental study. Credited authors: S. Majumder, J. Dhar and S. Chakraborty.

Mentions: Fig. 6 depicts the comparison of the present model predictions against reported experimental findings32 for the streaming conductance at various electrolyte concentrations. The circular markers denote predictions from the model developed in the present study, the diamond markers represent the experimental results while the solid line represents the predictions of the theoretical model used in the same experimental study. We have considered the channel half-height of 140 nm for the validation of our model. The wall potential is estimated from the corresponding concentration values by employing the expression: , in conjunction with the Grahame equation, where σ is the surface charge density, Γ is the surface density of chargeable sites, pK is the dissociation equilibrium constant, and C denotes the Stern layer capacitance32. Using these considerations, it can be observed that the present model is capable of reproducing the experimental trends to a satisfactory extent over a wide range of ionic concentrations, considering α = −1.


Resolving Anomalies in Predicting Electrokinetic Energy Conversion Efficiencies of Nanofluidic Devices.

Majumder S, Dhar J, Chakraborty S - Sci Rep (2015)

Comparison of the present model predictions (denoted by circular markers) with experimental findings 32 (denoted by diamond markers) of the streaming conductance for various electrolyte concentrations.The solid line represents the predictions of the theoretical model used in the same experimental study. Credited authors: S. Majumder, J. Dhar and S. Chakraborty.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4593964&req=5

f6: Comparison of the present model predictions (denoted by circular markers) with experimental findings 32 (denoted by diamond markers) of the streaming conductance for various electrolyte concentrations.The solid line represents the predictions of the theoretical model used in the same experimental study. Credited authors: S. Majumder, J. Dhar and S. Chakraborty.
Mentions: Fig. 6 depicts the comparison of the present model predictions against reported experimental findings32 for the streaming conductance at various electrolyte concentrations. The circular markers denote predictions from the model developed in the present study, the diamond markers represent the experimental results while the solid line represents the predictions of the theoretical model used in the same experimental study. We have considered the channel half-height of 140 nm for the validation of our model. The wall potential is estimated from the corresponding concentration values by employing the expression: , in conjunction with the Grahame equation, where σ is the surface charge density, Γ is the surface density of chargeable sites, pK is the dissociation equilibrium constant, and C denotes the Stern layer capacitance32. Using these considerations, it can be observed that the present model is capable of reproducing the experimental trends to a satisfactory extent over a wide range of ionic concentrations, considering α = −1.

Bottom Line: We devise a new approach for capturing complex interfacial interactions over reduced length scales, towards predicting electrokinetic energy conversion efficiencies of nanofluidic devices.By embedding several aspects of intermolecular interactions in continuum based formalism, we show that our simple theory becomes capable of representing complex interconnections between electro-mechanics and hydrodynamics over reduced length scales.The present model, thus, may be employed to rationalize the discrepancies between low energy conversion efficiencies of nanofluidic channels that have been realized from experiments, and the impractically high energy conversion efficiencies that have been routinely predicted by the existing theories.

View Article: PubMed Central - PubMed

Affiliation: Department of Mechanical Engineering, Indian Institute of Technology Kharagpur Kharagpur 721302, INDIA.

ABSTRACT
We devise a new approach for capturing complex interfacial interactions over reduced length scales, towards predicting electrokinetic energy conversion efficiencies of nanofluidic devices. By embedding several aspects of intermolecular interactions in continuum based formalism, we show that our simple theory becomes capable of representing complex interconnections between electro-mechanics and hydrodynamics over reduced length scales. The predictions from our model are supported by reported experimental data, and are in excellent quantitative agreement with molecular dynamics simulations. The present model, thus, may be employed to rationalize the discrepancies between low energy conversion efficiencies of nanofluidic channels that have been realized from experiments, and the impractically high energy conversion efficiencies that have been routinely predicted by the existing theories.

No MeSH data available.