| Chapter title |
Functionalized Vesicles by Microfluidic Device
|
|---|---|
| Chapter number | 31 |
| Book title |
Biosensors and Biodetection
|
| Published in |
Methods in molecular biology, March 2017
|
| DOI | 10.1007/978-1-4939-6911-1_31 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6910-4, 978-1-4939-6911-1
|
| Authors |
Derek Vallejo, Shih-Hui Lee, Abraham Lee |
| Editors |
Ben Prickril, Avraham Rasooly |
| Abstract |
In recent years, lipid vesicles have become popular vehicles for the creation of biosensors. Vesicles can hold reaction components within a selective permeable membrane that provides an ideal environment for membrane protein biosensing elements. The lipid bilayer allows a protein to retain its native structure and function, and the membrane fluidity can allow for conformational changes and physiological interactions with target analytes. Here, we present two methods for the production of giant unilamellar vesicles (GUVs) within a microfluidic device that can be used as the basis for a biosensor. The vesicles are produced from water-in-oil-in-water (W/O/W) double emulsion templates using a nonvolatile oil phase. To create the GUVs, the oil can be removed via extraction with ethanol, or by altering the interfacial tension between the oil and carrier solution causing the oil to retract into a cap on one side of the structure, leaving behind an exposed lipid bilayer. Methods to integrate sensing elements and membrane protein pores onto the vesicles are also introduced in this work. |
X Demographics
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| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 6 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 17% |
| Student > Ph. D. Student | 1 | 17% |
| Student > Master | 1 | 17% |
| Unknown | 3 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 1 | 17% |
| Biochemistry, Genetics and Molecular Biology | 1 | 17% |
| Engineering | 1 | 17% |
| Unknown | 3 | 50% |