Convection Confounds Measurements of Osmophoresis for Lipid Vesicles in Solute Gradients.
Yang GuLisa TranSoojung LeeJiayu ZhangKyle J M BishopPublished in: Langmuir : the ACS journal of surfaces and colloids (2023)
Lipid vesicles immersed in solute gradients are predicted to migrate from regions of high to low solute concentration due to osmotic flows induced across their semipermeable membranes. This process─known as osmophoresis─is potentially relevant to biological processes such as vesicle trafficking and cell migration; however, there exist significant discrepancies (several orders of magnitude) between experimental observations and theoretical predictions for the vesicle speed. Here, we seek to reconcile predictions of osmophoresis with observations of vesicle motion in osmotic gradients. We prepare quasi-steady solute gradients in a microfluidic chamber using density-matched solutions of sucrose and glucose to eliminate buoyancy-driven flows. We quantify the motions of giant DLPC vesicles and Brownian tracer particles in such gradients using Bayesian analysis of particle tracking data. Despite efforts to mitigate convective flows, we observe directed motion of both lipid vesicles and tracer particles in a common direction at comparable speeds of order 10 nm/s. These observations are not inconsistent with models of osmophoresis, which predict slower motion at ca. 1 nm/s; however, experimental uncertainty and the confounding effects of fluid convection prohibit a quantitative comparison. In contrast to previous reports, we find no evidence for anomalously fast osmophoresis of lipid vesicles when fluid convection is mitigated and quantified. We discuss strategies for enhancing the speed of osmophoresis using high permeability membranes and geometric confinement.
Keyphrases
- cell migration
- fatty acid
- photodynamic therapy
- magnetic resonance
- high speed
- pet imaging
- positron emission tomography
- emergency department
- endothelial cells
- computed tomography
- metabolic syndrome
- high throughput
- diabetic rats
- mass spectrometry
- oxidative stress
- deep learning
- contrast enhanced
- protein kinase
- weight loss
- glycemic control