Department of Electrical and Biomedical Engineering
College of Engineering, University of Nevada Reno
which acquires information regarding a physiological change or the presence
of various chemical or biological species, is a concurrent research area.
In this area, researchers have been looking for bio-detection
technologies with the desired features:
sensitivity, high selectivity, high reliability, real-time and continuous monitoring, portability (in
vitro) or implantability (in vivo), networking, automation, long
lifetime, low power, low cost, or others.
These features would bring
huge impacts on agriculture/industry/medicine/environment/health/military,
but are also actually
challenging many aspects of the bio-detection technologies (e.g. sample
preparation, molecular recognition, and signal transduction).
Positively, the recent progress in biochemistry, biophysics,
materials science, micro/nano science and technology, photonics and so on
are providing a strong impellent to the evolution or revolution of this
In general, several fundamental research questions on bio-detection technologies are: (1) How to efficiently preconcentrate, separate, select, or target the trace of biological analytes from in vitro or in vivo samples? (2) How to develop novel molecular recognition techniques and signal transduction techniques to enhance the bio-detection sensitivity, specificity, response time, reliability, or other characteristics? (3) How to build small-scale devices with portability, implantability, automation, or networking capability? The research goal of our Lab is to address these questions for specific applications.
Current Lab Research Foci:
New chemical/physical properties of materials and their applications in bio-detection
Engineered composite biomaterials for disease diagnosis (imaging guided)
Integrated sensor systems using bioMEMS technologies
Development, evaluation, and application of biosensors for environmental analysis, food safety, medicine, etc.
* The Lab is looking for a highly motivated graduate student to start in the Fall 2015 as research assistant.