1 Department of Physics and Information Engineering, Shanxi Normal University, Taiyuan 030000, China; 2 Beijing Key Laboratory for Sensors, Beijing Information Science&Technology University, Beijing 100192, China; 3 Modern College of Humanities and Sciences of Shanxi Normal University, Linfen 041004, China
Abstract With the emergence and rapid development of nanotechnology, the nanoparticles hybridized with multicomponent lipids are more and more used in gene delivery. These vectors interact with the cell membrane before entering into the cell. Therefore, the nature of this interaction is important in investigating multicomponent liposome-nanoparticle (MLP) transport across the cell membrane. In this paper the transport of MLPs across the membranes of giant vesicles (GVs) in solvents is studied by using the self-consistent field theory (SCFT). Based on the analysis of the MLP permeating the GV membranes, a simple transport model is proposed. The effects of the difference in membrane morphology and the size of the nanoparticle on the endocytosis are discussed systematically. The role of energy barriers in quasi-equilibrium is also examined. The results indicate that the interaction between MLP and GV is a spontaneous process and the energy barrier needs overcoming to form metastable intermediates. The results provide theoretical reference for better understanding the transmembrane transport process of nanoparticles, and guidance for relevant experimental studies as well.
Fund: Project supported by the Science and Technology Innovation Project of Higher Education in Shanxi Province, China (Grant No. 2020L0752), the Basic Research Foundation Project in Modern College of Humanities and Sciences of Shanxi Normal University, China (Grant No. 2020JCYJ25), and the Graduate Student Science and Technology Innovation Project of Shanxi Normal University, China (Grant No. 01053011).
Hui-Fang Wang(王慧芳), Chun-Rong Li(李春蓉), Min-Na Sun(孙敏娜), Jun-Xing Pan(潘俊星), and Jin-Jun Zhang(张进军) Transmembrane transport of multicomponent liposome-nanoparticles into giant vesicles 2022 Chin. Phys. B 31 048703
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