We have developed and characterized novel biomimetic membranes, formed at nanostructured sensor substrates with controlled curvatures, motivated by the many biological processes that involve membrane curvature. Model systems with convex nanostructures, with radii of curvatures (ROCs) of 70, 75, and 95 nm, were fabricated utilizing colloidal assembly and used as substrates for supported lipid bilayers (SLBs). The SLBs were formed via vesicle adsorption and rupture, and the vesicle deposition pathway was studied by means of quartz crystal microbalance with dissipation (QCM-D) and fluorescence microscopy. SLBs conforming to the underlying nanostructured surfaces, which exhibit increased surface area with decreased ROC, were confirmed from excess mass, monitored by QCM-D, and excess total fluorescence intensities. The formation of SLBs at the nanostructured surfaces was possible, however, depending on the ROC of the structures and the lipid vesicle charge the quality varied. The presence of nanostructures was shown to impair vesicle rupture and SLB formation was progressively hindered at surfaces with structures of decreasing ROCs. The introduction of a fraction of the positively charged lipid POEPC in the lipid vesicle membrane allowed for good quality and conformal bilayers at all surfaces. Alternatively, for vesicles formed from lipid mixtures with a fraction of the negatively charged lipid POPS, SLB formation was not at all possible at surfaces with the lowest ROC. Interestingly, the vesicle adsorption rate and the SLB formation were faster at surfaces with nanostructures of progressively smaller ROCs at high ratios of POPS in the vesicles. Development of templated SLBs with controlled curvatures provides a new experimental platform, especially at the nanoscale, at which membrane events such as lipid sorting, phase separation, and protein binding can be studied.
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http://dx.doi.org/10.1021/jp2025363 | DOI Listing |
BMC Anesthesiol
January 2025
Department of Anesthesia, ICU & Pain, Faculty of Medicine (Boys), Al-Azhar University, Cairo, Egypt.
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Atten Percept Psychophys
January 2025
Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, USA.
As mazes are typically complex, cluttered stimuli, solving them is likely limited by visual crowding. Thus, several aspects of the appearance of the maze - the thickness, spacing, and curvature of the paths, as well as the texture of both paths and walls - likely influence the performance. In the current study, we investigate the effects of perceptual aspects of maze design on maze-solving performance to understand the role of crowding and visual complexity.
View Article and Find Full Text PDFAnal Chim Acta
January 2025
Wastewater Laboratory Targoviste, Water Company Targoviste-Dambovita, Calea Ploiesti Street, 130 145, Targoviste, Romania. Electronic address:
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View Article and Find Full Text PDFComplement Med Res
January 2025
Eye Hospital, China Academy of Chinese Medical Sciences, Beijing, China.
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View Article and Find Full Text PDFMicromachines (Basel)
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Guangzhou Wide Bandgap Semiconductor Innovation Center, Guangzhou Institute of Technology, Xidian University, Guangzhou 510555, China.
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