Layer-by-layer films of polysaccharides modified with poly(N-vinylpyrrolidone) and poly(vinyl alcohol)

Livanovich, Kanstantsin S.; Sharamet, Anastasiya A.; Shimko, A. N.; Shutava, Tatsiana G.

doi:10.1016/j.heliyon.2021.e08224

Cited by 2 publications

(2 citation statements)

References 68 publications

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“…Figure presents the surface topography, TDA, and persistence barcodes for the one, two, and three bilayer PEI/PSS (the bare silicon data is shown in Figure S1). Adding new bilayers dramatically changed the roughness due to molecular agglomeration, as seen even with visual observation, consistent with literature data. , …”

Section: Resultssupporting

confidence: 91%

“…Adding new bilayers dramatically changed the roughness due to molecular agglomeration, as seen even with visual observation, consistent with literature data. 38,39 The original 256 × 256 pixel matrices were divided into 3 × 3 pixel submatrices or patches so that the correlation between neighboring pixels was studied. Three features are shown, namely, the topological invariants H 0 (representing the entire connected structure), H 1 (a 1D hole or cylindrical), and H 2 (a 2D empty void enclosed by a surface).…”

Section: Many Surfaces Have An Exponentially Decaying Acf C( ) Exp( ) =mentioning

confidence: 99%

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Topological Data Analysis of Nanoscale Roughness of Layer-by-Layer Polyelectrolyte Samples Using Machine Learning

Aglikov,

Aliev,

Zhukov

et al. 2023

ACS Appl. Electron. Mater.

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The surface roughness of layer-by-layer (LbL) polyelectrolytes is studied by atomic force microscopy (AFM) and analyzed with novel methods including topological data analysis (TDA) and machine learning (ML) to correlate multiscale roughness with the number of bilayers and to recognize the types of polyelectrolytes (PEs). LbL PEs composed of one to four bilayers of ( 1) polyethylenimine (PEI)/poly(sodium 4-styrenesulfonate) (PSS), (2) PEI/poly(acrylic acid) (PAA), and (3) PEI/ MXene rigid flakes are deposited on a smooth silicon wafer. With a growing number of bilayers, the roughness changes from a smooth surface to an equilibrium rough profile. The AFM study of the surface morphology demonstrates that surface roughness is multiscale, with smaller features imposed on larger ones. Roughness data is filtered from measurement resolution artifacts, and several methods are applied: correlation length, statistics of the distribution of extremes in trimmed images, and TDA barcodes and persistence diagrams of simplexes in 8D data space. An ML algorithm is used to determine the number of bilayers in a PE. Roughness analysis indicates a gradual transition from a smooth to a rough surface with saturation at three to four bilayers and the existence of multiscale roughness invariance.

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Section: Resultssupporting

confidence: 91%

Section: Many Surfaces Have An Exponentially Decaying Acf C( ) Exp( ) =mentioning

confidence: 99%

Topological Data Analysis of Nanoscale Roughness of Layer-by-Layer Polyelectrolyte Samples Using Machine Learning

Aglikov,

Aliev,

Zhukov

et al. 2023

ACS Appl. Electron. Mater.

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Layer-by-Layer Assembling and Capsule Formation of Polysaccharide-Based Polyelectrolytes Studied by Whispering Gallery Mode Experiments and Confocal Laser Scanning Microscopy

Wagner,

Olszyna,

Domac

et al. 2024

Polysaccharides

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The layer-by-layer (LbL) assembling of oppositely charged polyelectrolytes was studied using semi-synthetic polysaccharide derivatives, namely the polycations 6-aminoethylamino-6-deoxy cellulose (ADC) and cellulose (2-(ethylamino)ethylcarbamate (CAEC), as well as the polyanion cellulose sulfate (CS). The synthetic polymers poly(allylamine) (PAH) and poly(styrene sulfonate) (PSS) were employed as well for comparison. The stepwise adsorption process was monitored by whispering gallery mode (WGM) experiments and zeta-potential measurements. Distinct differences between synthetic- and polysaccharide-based assemblies were observed in terms of the quantitative adsorption of mass and adsorption kinetics. The LbL-approach was used to prepare µm-sized capsules with the aid of porous and non-porous silica particle templates. The polysaccharide-based capsule showed a switchable permeability that was not observed for the synthetic polymer materials. At ambient pH values of 7, low-molecular dyes could penetrate the capsule wall while no permeation occurred at elevated pH values of 8. Finally, the preparation of protein-loaded LbL-capsules was studied using the combination of CAEC and CS. It was shown that high amounts of protein (streptavidin and ovomucoid) can be encapsulated and that no leaking or disintegration of the cargo macromolecules occurred during the preparation step. Based on this work, potential use in biomedical areas can be concluded, such as the encapsulation of bioactive compounds (e.g., pharmaceutical compounds, antibodies) for drug delivery or sensing purposes.

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Layer-by-layer films of polysaccharides modified with poly(N-vinylpyrrolidone) and poly(vinyl alcohol)

Cited by 2 publications

References 68 publications

Topological Data Analysis of Nanoscale Roughness of Layer-by-Layer Polyelectrolyte Samples Using Machine Learning

Topological Data Analysis of Nanoscale Roughness of Layer-by-Layer Polyelectrolyte Samples Using Machine Learning

Layer-by-Layer Assembling and Capsule Formation of Polysaccharide-Based Polyelectrolytes Studied by Whispering Gallery Mode Experiments and Confocal Laser Scanning Microscopy

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