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ECE Spotlight on Research



Nano-Sensor System Using Chitosan for the Detection of Dangerous Substances
Prof. Reza Ghodssi

Ghodssi image
Dr. Reza Ghodssi

A substance found in crab shells is the key component in a nanoscale sensor system developed by researchers at the University of Maryland's A. James Clark School of Engineering. The sensor can detect minute quantities of explosives, bioagents, chemicals, and other dangerous materials in air and water, potentially leading to security and safety innovations for airports, hospitals, and other public locations.

Clark School engineers are using a substance called chitosan, found in the shells of the Chesapeake Bay's famous blue crab, to coat components of the microscopic sensor system. The crabs do not need to be harvested specifically for this purpose; the material is extracted from the crab shell waste.

Reza Ghodssi (ECE/ISR), is one of the investigators leading the project. He is joined by a multidisciplinary group: Gary Rubloff (ISR/ECE) from the NanoCenter, Bill Bentley from the Fischell Department of Bioengineering and Greg Payne from the University of Maryland Biotechnology Institute (UMBI).

Ghodssi's graduate students are helping to develop the nanoscale "system on a chip" in Ghodssi's MEMS (Micro-Electro-Mechanical Systems) Sensors and Actuators Lab.

The system employs multiple miniature vibrating cantilevers, similar to diving boards, which are coated with chitosan, plus optical sensing technology that can see when the cantilevers' vibrations change.

Blue crab image
Blue Crab

Different cantilevers can detect different substances and concentrations. When a targeted substance enters the device from the air or water, the chitosan on a specific cantilever interacts with the substance and causes that cantilever's vibration to change its characteristics. The optical sensing system sees the vibration change and indicates that the substance has been detected.

The technology was developed and initially tested at the Laboratory for Physical Sciences (LPS) in College Park, Md., and it is sponsored by LPS and the National Science Foundation (NSF).

For more information, please see the press release on this research.

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University of Maryland A. James Clark School of Engineering Department of Electrical and Computer Engineering