Selective transportation of charged ZnO nanoparticles and microorganism dialysis through silicon nanoporous membranes

Bhadra, Priyanka; Sengupta, Sudeshna; Ratchagar, Noel Prashant; Achar, Balachandra H. V.; Chadha, Anju; Bhattacharya, Enakshi

doi:10.1016/j.memsci.2015.12.058

Cited by 11 publications

(3 citation statements)

References 49 publications

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“…Experimental design parameters that influence these dynamic degradation and flocculation changes include pH and ionic composition of the solution. Methods that help control these intermolecular interaction-induced changes can aid in assay design. , Finally, analyte transport mechanisms to SERS substrates as a function of local composition and nanostructure morphology are also influenced by intermolecular interactions. These also influence spectral variations in SERS measurements and should be considered in designing SERS assays.…”

Section: Outlook and Opportunitiesmentioning

confidence: 99%

Promoting Intra- and Intermolecular Interactions in Surface-Enhanced Raman Scattering

Shrestha

Haes

2017

Anal. Chem.

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Section: Outlook and Opportunitiesmentioning

confidence: 99%

Promoting Intra- and Intermolecular Interactions in Surface-Enhanced Raman Scattering

Shrestha

Haes

2017

Anal. Chem.

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“…To improve the gas separation performance of conventional membranes the focus is concentrated on polymeric media 25 . To this end, different polymers, including siloxanes 26 , poly acetylenes 27 , polyimides 28 , polysulfone 29 , and basic silicon polymers 30 are employed for different separation purposes. However, polymeric membranes still have some concerns related to their permeability 31 , selectivity 32 , and stability at high pressures 33 .…”

Section: Introductionmentioning

confidence: 99%

Modeling the CO2 separation capability of poly(4-methyl-1-pentane) membrane modified with different nanoparticles by artificial neural networks

Abdollahi

Ranjbar

2023

Sci Rep

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Membranes are a potential technology to reduce energy consumption as well as environmental challenges considering the separation processes. A new class of this technology, namely mixed matrix membrane (MMM) can be fabricated by dispersing solid substances in a polymeric medium. In this way, the poly(4-methyl-1-pentene)-based MMMs have attracted great attention to capturing carbon dioxide (CO2), which is an environmental pollutant with a greenhouse effect. The CO2 permeability in different MMMs constituted of poly(4-methyl-1-pentene) (PMP) and nanoparticles was comprehensively analyzed from the experimental point of view. In addition, a straightforward mathematical model is necessary to compute the CO2 permeability before constructing the related PMP-based separation process. Hence, the current study employs multilayer perceptron artificial neural networks (MLP-ANN) to relate the CO2 permeability in PMP/nanoparticle MMMs to the membrane composition (additive type and dose) and pressure. Accordingly, the effect of these independent variables on CO2 permeability in PMP-based membranes is explored using multiple linear regression analysis. It was figured out that the CO2 permeability has a direct relationship with all independent variables, while the nanoparticle dose is the strongest one. The MLP-ANN structural features have efficiently demonstrated an appealing potential to achieve the highest accurate prediction for CO2 permeability. A two-layer MLP-ANN with the 3-8-1 topology trained by the Bayesian regulation algorithm is identified as the best model for the considered problem. This model simulates 112 experimentally measured CO2 permeability in PMP/ZnO, PMP/Al2O3, PMP/TiO2, and PMP/TiO2-NT with an excellent absolute average relative deviation (AARD) of lower than 5.5%, mean absolute error (MAE) of 6.87 and correlation coefficient (R) of higher than 0.99470. It was found that the mixed matrix membrane constituted of PMP and TiO2-NT (functionalized nanotube with titanium dioxide) is the best medium for CO2 separation.

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“…Charged nanoporous media and ion-selective nanochannels have attracted considerable interests in recent decades owing to their ever-increasing applications from geophysics and environment (Dykstra et al, 2017;Johnson et al, 1996;Ko et al, 2012;Lacoste et al, 2009;Li et al, 2013;Massimo et al, 2018;Muhammad & Massimo, 2015, 2017Nikonenko et al, 2014;Revil, Pezard, & Glover, 1999;Revil, Schwaeger, et al, 1999;Schultz, 1997; S. Song et al, 2004;Sun et al, 2001;Vane & Zang, 1997) to energy conversion (D. K. Kim, Duan, et al, 2010), water desalination (Nikonenko et al, 2014;Sung Jae et al, 2010;Suss et al, 2012), and even biophysics (Bhadra et al, 2016;Hotta et al, 2012;Ko et al, 2012). A crucial common factor among these applications is the presence of ionic transport through structured or unstructured materials with charged solid-aqueous solution interfaces.…”

Section: Introductionmentioning

confidence: 99%

Pore‐scale Study of Ion Transport Mechanisms in Inhomogeneously Charged Nanoporous Rocks: Impacts of Interface Properties on Macroscopic Transport

Alizadeh

Wang

2019

JGR Solid Earth

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The electrokinetic transport mechanisms of multispecies ions through 3‐D nanoporous rocks with chemical reaction at the solid‐aqueous solution interfaces are investigated. We systematically study the multiphysics transport phenomena by considering either inhomogeneous (local surface charge based on local pH and ion concentrations) or prescribed homogeneous surface charge at solid‐aqueous solution interface while the pores are screened via electric double layers. We develop a lattice Boltzmann numerical framework to solve the set of governing equations (Poisson‐Nernst‐Planck plus Navier–Stokes). Our modeling results reveal that the averaged local electric potential of the nanoporous rock is significantly underestimated (about 83%) when a homogeneous surface charge is prescribed based on the bulk solution properties. It is shown that increasing the porosity of the nanoporous media considerably increases the absolute values and inhomogeneity of the surface charge, which means that while the electric double layers screened the pores, increasing the porosity enhances the ion selectivity of the porous medium. When the scenario with inhomogeneous charge is taken into account, the predicted electroosmotic permeability and tortuosity are higher in comparison with the prescribed homogeneous case. Moreover, we have studied the electrostatic tortuosity, coupling coefficient, and the effective excess charge density of the nanoporous rocks. The results demonstrate that ignoring the inhomogeneity of surface charges may cause erroneous prediction of the ion transport through porous rocks with chemically active surfaces.

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Selective transportation of charged ZnO nanoparticles and microorganism dialysis through silicon nanoporous membranes

Cited by 11 publications

References 49 publications

Promoting Intra- and Intermolecular Interactions in Surface-Enhanced Raman Scattering

Promoting Intra- and Intermolecular Interactions in Surface-Enhanced Raman Scattering

Modeling the CO2 separation capability of poly(4-methyl-1-pentane) membrane modified with different nanoparticles by artificial neural networks

Pore‐scale Study of Ion Transport Mechanisms in Inhomogeneously Charged Nanoporous Rocks: Impacts of Interface Properties on Macroscopic Transport

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