Please visit the above links to have a more detailed look at our research projects. Below is a list of Centers that we are leading or affiliated with.
NSF STC EBICS at MIT/GT/UIUC - Emergent Behavior of Integrated Cellular Systems
NSF CiiT (I/UCRC) at UIUC - Center for Innovative Instrumentation Technology
NSF NSEC at OSU - Center for Affordable Nanoengineering for Polymeric Micro and Nanodevices
Quantification of Viral Load Using Liposome Encapsulation for HIV Detection
We are developing a technology based on Ion-Release Impedance Spectroscopy (IRIS), a technique that employs liposomes as a biosensor component for detection of small biological entities. This technique relies only on electrical impedance measurements, eliminating the need for incorporating cameras, lasers, and other optical components which often increase the size and cost of a biosensing platform.
The overall approach of the technique is as follows:
1. The analyte of interest is separated from a biological sample by immunoaffinity chromatography or some other purification/isolation method in a microfluidic device.
2. The captured analyte is tagged with a liposome encapsulating ions (such as 10X PBS) which is functionalized on its surface with an antibody or peptide that will specifically bind the analyte.
3. Unbound liposomes and background media are replaced with low-conductivity media, such as deionized water.
4. The microfluidic chamber is heated, which increases the fluidity of the liposome membrane, eventually causing it to release its contents.
5. The change in electrical impedance is measured throughout the process, and a decrease in impedance is observed as a result of the addition of ions into the media.
6. The number of liposomes in the microfluidic chamber can be determined from the impedance change that is measured, and is the basis for quantifying the analyte.
Publication Associated with this Project
G. Damhorst, C. Smith, E. Salm, M. Sobieraj, H. Ni, H. Kong, R. Bashir, "A liposome-based ion release impedance sensor for biological detection,". Biomedical Microdevices, 2013. DOI 10.1007/s10544-013-9778-4.