Influence of ionic strength on poly(diallyldimethylammonium chloride) macromolecule conformations in electrolyte solutions

Adamczyk, Zbǐgniew; Jamroży, Krzysztof; Batys, Piotr; Michna, Aneta

doi:10.1016/j.jcis.2014.07.037

Cited by 40 publications

(53 citation statements)

References 63 publications

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“…Furthermore, strongly charged PEs and PEs in low ionic strength have extended straight sections: electrostatic repulsion between monomers increases the effective persistence length. [71][72][73][74][75] The omission of chain flexibility in our description most certainly affects, for example ion condensation sites, see e.g. Refs.…”

Section: Molecular Dynamics Simulationsmentioning

confidence: 99%

Ability of the Poisson–Boltzmann equation to capture molecular dynamics predicted ion distribution around polyelectrolytes

Batys

Luukkonen

Sammalkorpi

2017

Phys. Chem. Chem. Phys.

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Section: Molecular Dynamics Simulationsmentioning

confidence: 99%

Ability of the Poisson–Boltzmann equation to capture molecular dynamics predicted ion distribution around polyelectrolytes

Batys

Luukkonen

Sammalkorpi

2017

Phys. Chem. Chem. Phys.

Self Cite

View full text Add to dashboard Cite

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“…Today, a methodology is missing that allows the prediction of the membrane transport properties based on LbL-fabrication conditions. This remains a challenging task, since the build-up of the layers depends on the polyelectrolyte type, its molecular weight, the ionic strength, pH, and concentration of the coating solution, the adsorption time, coating method, as well as the number of layers applied [32,33,34,35,36,37].…”

Section: Layer-by-layer (Lbl) Nanofiltration Membranesmentioning

confidence: 99%

Rational design of ion separation membranes

Rall

Menne

Schweidtmann

et al. 2019

Journal of Membrane Science

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Synthetic membranes for desalination and ion separation processes are a prerequisite for the supply of safe and sufficient drinking water as well as smart process water tailored to its application. This requires a versatile membrane fabrication methodology. Starting from an extensive set of new ion separation membranes synthesized with a layer-by-layer methodology, we demonstrate for the first time that an artificial neural network (ANN) can predict ion retention and water flux values based on membrane fabrication conditions. The predictive ANN is used in a local single-objective optimization approach to identify manufacturing conditions that improve permeability of existing membranes. A deterministic global multi-objective optimization is performed in order to identify the upper bound (Pareto front) of the delicate trade-off between ion retention characteristics and permeability. Ultimately, a coupling of the ANN into a hybrid model enables physical insight into the influence of fabrication conditions on apparent membrane properties.

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“…Another strength of the LbL method is the wide variety of possibilities to tune the properties of these membranes by varying the PE layer chemistry and/or coating parameters. Among others, these parameters are the type of PEs, their charge densities, the number of BLs, the terminating layer, and the salt concentration of the coating solution 8,18,23–30 …”

Section: Introductionmentioning

confidence: 99%

“…By introducing salt ions in the PE solution, the PE charges will be partially compensated by the ions instead, called extrinsic charge compensation. More extrinsic charge compensation results in thicker, but simultaneously more open PE layers 24,27,28 …”

Section: Introductionmentioning

confidence: 99%

Asymmetric layer‐by‐layer polyelectrolyte nanofiltration membranes with tunable retention

Scheepers

Chatillon

Nijmeijer

et al. 2021

Journal of Polymer Science

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Nanofiltration (NF) membrane processes are attractive to remove multivalent ions. As ion retention in NF membranes is determined by both size and charge exclusion, negatively charged membranes are required to reject negatively charged ions. Layer‐by‐layer assembly of alternating polycation (PC) and polyanion layers on top of a support is a versatile method to produce membranes. Especially the polyelectrolyte (PE) couple polydiallyldimethylammoniumchloride and poly(sodium‐4‐styrenesulfonate) (PDADMAC/PSS) is extensively investigated. This PE couple cannot form highly negatively charged membrane surfaces, due to interdiffusion and charge overcompensation of PDADMAC into the PSS layers, which limits the operational window to tailor membrane properties. We propose the use of asymmetric layer formation and show how combining two charge densities of one PC can produce negatively charged NF membranes. Starting from hollow fiber ultrafiltration supports coated with base layers of PDADMAC/PSS, they are coated with PDADMAC/PSS or poly(acrylamide‐co‐diallyldimethylammoniumchloride), P(AM‐co‐DADMAC)/PSS layers. P(AM‐co‐DADMAC) has a charge density of only 32% compared to 100% for PDADMAC. The particular novel membranes coated with P(AM‐co‐DADMAC) have a highly negatively charged surface and high permeabilities (7–19 L/[m2hbar]), with high retentions for Na2SO4 of up to 95%. These values position the developed membranes in the top range compared to commercial and other layer‐by‐layer membranes.

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Influence of ionic strength on poly(diallyldimethylammonium chloride) macromolecule conformations in electrolyte solutions

Cited by 40 publications

References 63 publications

Ability of the Poisson–Boltzmann equation to capture molecular dynamics predicted ion distribution around polyelectrolytes

Ability of the Poisson–Boltzmann equation to capture molecular dynamics predicted ion distribution around polyelectrolytes

Rational design of ion separation membranes

Asymmetric layer‐by‐layer polyelectrolyte nanofiltration membranes with tunable retention

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