Jump to main content
Jump to site search

Issue 7, 2017
Previous Article Next Article

Thermo-acoustofluidic separation of vesicles based on cholesterol content

Author affiliations

Abstract

Biomechanical properties of cells such as cellular stiffness have been increasingly considered as biomarkers for diseases. For instance, stiffness of cancer cells has been correlated to the malignant potential in certain cell lines. In cells, the cholesterol content plays a crucial role in determining stiffness. Changes in the cholesterol content in cellular membranes can be an indication of pathological disorders. Acoustophoresis as a separation and diagnostic tool is well positioned to help in the separation and diagnosis of cells taking advantage of its unique separation criteria of density and compressibility. However, under the same conditions, cells and vesicles secreted by these cells often have a positive contrast factor sign and thus do not yield simple separations. Thermally-assisted acoustophoresis, also referred to as thermo-acoustophoresis, solves this problem by adding a temperature dimension to the separation. In this work, we evaluate the acoustic contrast temperature (TΦ) of vesicles at different cholesterol molar ratios (Xchol) and develop a multi-stage lab-on-a-chip method to accomplish for the first time the separation of a three-vesicle mixture. Using Xchol = 0.1, 0.2, and 0.3 vesicles, we have obtained separation efficiencies exceeding 93%. The simplicity, rapidity, and label-free nature of this approach holds promise as a diagnostic and separation tool for cells and extracellular vesicles such as exosomes and microvesicles.

Graphical abstract: Thermo-acoustofluidic separation of vesicles based on cholesterol content

Back to tab navigation

Supplementary files

Publication details

The article was received on 16 Feb 2017, accepted on 01 Mar 2017 and first published on 01 Mar 2017


Article type: Paper
DOI: 10.1039/C7LC00161D
Citation: Lab Chip, 2017,17, 1332-1339
  •   Request permissions

    Thermo-acoustofluidic separation of vesicles based on cholesterol content

    A. Dolatmoradi, E. Mirtaheri and B. El-Zahab, Lab Chip, 2017, 17, 1332
    DOI: 10.1039/C7LC00161D

Search articles by author

Spotlight

Advertisements