2019
DOI: 10.1017/s1431927619000345
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In Situ AFM Imaging of Adsorption Kinetics of DPPG Liposomes: A Quantitative Analysis of Surface Roughness

Abstract: The adsorption of intact liposomes on surfaces is of great importance for the development of sensors and drug delivery systems and, also, strongly dependent on the surface roughness where the liposomes are adsorbed. In this paper, we analyzed, by using atomic force microscopy in liquid, the evolution of the morphology of gold surfaces and of poly(allylamine hydrochloride) (PAH) surfaces with different roughness during the adsorption of liposomes prepared with the synthetic phospholipid 1,2-dipalmitoyl-sn-glyce… Show more

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Cited by 2 publications
(2 citation statements)
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“…[ 8–12 ] The ability to tune the PEM's architecture with nanometer precision is very promising aspect for using them in biomedical applications. Understanding the molecular dynamics of the participating species, either in situ [ 13–21 ] or ex situ, [ 22–26 ] is useful to further tune the PEM architecture for specific applications. When it comes to bio‐sensing and drug‐delivery applications, the bulk properties of PEM films play a significant role in their optimal functionality.…”
Section: Introductionmentioning
confidence: 99%
“…[ 8–12 ] The ability to tune the PEM's architecture with nanometer precision is very promising aspect for using them in biomedical applications. Understanding the molecular dynamics of the participating species, either in situ [ 13–21 ] or ex situ, [ 22–26 ] is useful to further tune the PEM architecture for specific applications. When it comes to bio‐sensing and drug‐delivery applications, the bulk properties of PEM films play a significant role in their optimal functionality.…”
Section: Introductionmentioning
confidence: 99%
“…After the adsorption, the heights and the widths of most bumps were up to 10 nm and 190 ± 60 nm, respectively ( Figure 2 b). The roughness was calculated with the root-mean-square, as suggested in Table 1 [ 31 ]. The difference in the flatness was clearly observed between the two images.…”
Section: Resultsmentioning
confidence: 99%