2019
DOI: 10.3390/ijms20153712
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Mucin Thin Layers: A Model for Mucus-Covered Tissues

Abstract: The fate of macromolecules of biological or pharmacological interest that enter the mucus barrier is a current field of investigation. Studies of the interaction between the main constituent of mucus, mucins, and molecules involved in topical transmucoidal drug or gene delivery is a prerequisite for nanomedicine design. We studied the interaction of mucin with the bio-inspired arginine-derived amphoteric polymer d,l-ARGO7 by applying complementary techniques. Small angle X-ray scattering in bulk unveiled the f… Show more

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Cited by 12 publications
(10 citation statements)
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“…Errors on parameters values have been estimated from the maximum variation in the acceptable fit subject to the constraints of space‐filling and stoichiometry. NR is a technique suited to collect structural information about the different layers of the studied membrane (Rondelli et al, 2019). Thus, the silicon support and the bulk water are seen as bulk infinite layer, the silicon oxide layer, the water layer between the silicon oxide and the membrane and the diverse hydrophilic/hydrophobic layers of the lipid membranes are modelled as defined layers with a proper thickness, roughness with respect to the previous layer, compactness, composition and consequently contrast.…”
Section: Methodsmentioning
confidence: 99%
“…Errors on parameters values have been estimated from the maximum variation in the acceptable fit subject to the constraints of space‐filling and stoichiometry. NR is a technique suited to collect structural information about the different layers of the studied membrane (Rondelli et al, 2019). Thus, the silicon support and the bulk water are seen as bulk infinite layer, the silicon oxide layer, the water layer between the silicon oxide and the membrane and the diverse hydrophilic/hydrophobic layers of the lipid membranes are modelled as defined layers with a proper thickness, roughness with respect to the previous layer, compactness, composition and consequently contrast.…”
Section: Methodsmentioning
confidence: 99%
“…Finally, the calculated model profile is compared to the measured profile and the quality of the fit is assessed by using the χ 2 in minimum-squares method. NR is a technique suited to collect structural information about the different layers of the studied membrane (Rondelli et al, 2019). Thus, the silicon support and the bulk water are seen as bulk infinite layer, the silicon oxide layer, the water layer between the silicon oxide and the membrane and the diverse hydrophilic/hydrophobic layers of the lipid membranes are modelled as defined layers with a proper thickness, roughness with respect to the previous layer, compactness, composition and consequently contrast.…”
Section: Neutron Reflectometrymentioning
confidence: 99%
“…Errors on parameters values have been estimated from the maximum variation in the acceptable fit subject to the constraints of space filling and stoichiometry. NR is a technique suited to collect structural information about the different layers of the studied membrane (Rondelli et al , 2019). Thus, the silicon support and the bulk water are seen as bulk infinite layer, the silicon oxide layer, the water layer between the silicon oxide and the membrane and the diverse hydrophilic/hydrophobic layers of the lipid membranes are modelled as defined layers with a proper thickness, roughness with respect to the previous layer, compactness, composition and consequently contrast.…”
Section: Neutron Reflectometrymentioning
confidence: 99%