Prediction of Liposome Properties Using Electrophoretic Trap

Liposomes, which can carry the target-oriented payloads, are widely used to innovate the drug delivery systems due to their bio-compatibilities and stability in biological systems. Here, we present a novel method to estimate the material properties (e.g. charge, elasticity of lipid, damping by payload, etc.) of liposomes in aqueous medium by measuring their random fluctuations in electrophoretic trap. The random Brownian motions of trapped liposome are closely related with the material properties, and it can be described by the Langevin equation with proper electrophoretic force model.The material properties such as charge, elasticity of lipid, damping by payload, etc. can be determined via an iterative comparison of the measured fluctuations and the theoretical predictions. The present study provides an efficient way to estimate the unknown properties of newly designed liposome.operties (e.g. charge, elasticity of lipid, damping by payload, etc.) of liposomes in aqueous medium by measuring their random fluctuations in electrophoretic trap. The random Brownian motions of trapped liposome are closely related with the material properties, and it can be described by the Langevin equation with proper electrophoretic force model.The material properties such as charge, elasticity of lipid, damping by payload, etc. can be determined via an iterative comparison of the measured fluctuations and the theoretical predictions. The present study provides an efficient way to estimate the unknown properties of newly designed liposome.2

Random Motion Assisted Charge Identification of the Liposome in Planar Electrophoretic Trap with Aqueous Medium

Liposomes are essential in innovating the drug delivery systems. In this study, we propose a novel method to estimate the charge and the mechanical properties of liposome from its random fluctuation in electrophoretic traps. Since the Brownian motion of liposome is described by the Langevin equation with proper electrophoretic force model, the liposome charge can be computed via an iterative comparison of the measured fluctuations and the theoretical predictions. The presentapproach also unveils the correlations between the other unique properties of liposome (e.g. elasticity of lipid surface) and the random dynamics. The present study provides an efficient way to estimate the unknown properties of newly designed liposome.ian motion of liposome is described by the Langevin equation with proper electrophoretic force model, the liposome charge can be computed via an iterative comparison of the measured fluctuations and the theoretical predictions. The presentapproach also unveils the correlations between the other unique properties of liposome (e.g. elasticity of lipid surface) and the random dynamics. The present study provides an efficient way to estimate the unknown properties of newly designed liposome.1