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Title: A Discretization of the Hybrid Gradient Algorithm for Linear Regression with Sampled Hybrid Signals
Award ID(s):
2039054
NSF-PAR ID:
10439862
Author(s) / Creator(s):
; ;
Date Published:
Journal Name:
2023 American Control Conference
Page Range / eLocation ID:
3560 to 3565
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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  1. One practical approach towards robust and stable biomimetic platforms is to generate hybrid bilayers that incorporate both lipids and block co-polymer amphiphiles. The currently limited number of reports on the interaction of glass surfaces with hybrid lipid and polymer vesicles—DOPC mixed with amphiphilic poly(ethylene oxide-b-butadiene) (PEO-PBd)—describe substantially different conclusions under very similar conditions (i.e., same pH). In this study, we varied vesicle composition and solution pH in order to generate a broader picture of spontaneous hybrid lipid/polymer vesicle interactions with rigid supports. Using quartz crystal microbalance with dissipation (QCM-D), we followed the interaction of hybrid lipid-polymer vesicles with borosilicate glass as a function of pH. We found pH-dependent adsorption/fusion of hybrid vesicles that accounts for some of the contradictory results observed in previous studies. Our results show that the formation of hybrid lipid-polymer bilayers is highly pH dependent and indicate that the interaction between glass surfaces and hybrid DOPC/PEO-PBd can be tuned with pH. 
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