4.6 Article

Higher Ion Selectivity with Lower Energy Usage Promoted by Electro-osmotic Flow in the Transport through Conical Nanopores

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JOURNAL OF PHYSICAL CHEMISTRY C
卷 125, 期 6, 页码 3269-3276

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AMER CHEMICAL SOC
DOI: 10.1021/acs.jpcc.0c08863

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  1. U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences [DE-SC0019043]

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This report discusses the impact of electro-osmotic flow (EOF) on ion selectivity and transport throughput in nanoscale electrokinetic transport, revealing EOF as an overlooked factor that increases selectivity. Analysis of factors such as ion flux, transference number, and flow velocity shows an optimal ion selectivity and energy cost at intermediate ion concentrations and nanopore sizes.
The tradeoff between selectivity and throughput presents fundamental challenges to improve desalination and charge storage, salinity gradient-based energy harvesting, memory device/circuit development, and so forth. The well-known ion-current rectification and the recently resolved time-dependent transport hysteresis in conical nanopores or asymmetric nanointerfaces offer new opportunities for the selective transport of matter. This report shows that electro-osmotic flow (EOF) is an overlooked factor that increases ion selectivity while maintaining enhanced transport throughput in rectified nanoscale electrokinetic transport. The increased selectivity originates primarily from the suppression of anion flux by the fluid flow in the opposite direction under the applied electrical field. By solving the Poisson and Nernst-Planck (PNP) equations without and with coupled Navier-Stokes (PNP-NS) equations, the EOF effects on cation and anion transport are unequivocally revealed in asymmetric nanopipettes. The flux of cations and anions as well as the transference number and flow velocity are elucidated using the models and boundary conditions validated by previous experiments. A dimensionless parameter, radius over the Debye length, reveals optimal ion selectivity and energy cost at intermediate ion concentrations and nanopore sizes, up to hundreds of millimolars and tens of nanometers under time-dependent potential stimulus. The fundamental insights into EOF at nanointerfaces suggest new routes/strategies for better separation, analysis, and energy applications.

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