2021
DOI: 10.1016/j.memsci.2020.118633
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Fabrication of soft-etched nanoporous polyimide membranes for ionic conduction and discrimination

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Cited by 21 publications
(19 citation statements)
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“…Current−Voltage (I−V) Curves: For the measurement of electrical readout, the DMF-treated membrane sample was mounted between the two compartments of a home-made electrochemical cell. [15,46] The effective membrane area in contact with the electrolyte solution was ≈8 mm 2 . The electrolytes containing various crown-ether concentrations were prepared in aqueous alkali chloride (100 × 10 -3 m) solutions.…”
Section: Methodsmentioning
confidence: 99%
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“…Current−Voltage (I−V) Curves: For the measurement of electrical readout, the DMF-treated membrane sample was mounted between the two compartments of a home-made electrochemical cell. [15,46] The effective membrane area in contact with the electrolyte solution was ≈8 mm 2 . The electrolytes containing various crown-ether concentrations were prepared in aqueous alkali chloride (100 × 10 -3 m) solutions.…”
Section: Methodsmentioning
confidence: 99%
“…For this purpose, the Ag|AgCl electrodes were dipped in the electrolyte solution on both sides of membrane sample to control the input potentials and output currents in a triangular wave signal. [15,46]…”
Section: Methodsmentioning
confidence: 99%
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“…The constructed ionic gates enabled selective cation and anion conduction through the nanochannel, exhibiting great potentials in clinical medicine, biosensors and drug delivery (Figure b). Most recently, Ensinger’s group reported an alkali metal cation-selective nanopores based on heavy ion-tracked PI membranes via the soft-etching (SE) technique, which selectively dissolved the latent ion tracks in the membranes by an organic solvent to form tiny pores . The SE-PI nanoporous membranes could efficiently discriminate alkali cations from divalent metal cations and ammonium cations from tetraalkylammonium cations.…”
Section: Polymeric Nanochannel-based Biosensing Platforms For Detecti...mentioning
confidence: 99%