New Technique Offers Rapid Assessment of Radiation Exposure
January 24, 2019 | NC State UniversityEstimated reading time: 2 minutes
Researchers from North Carolina State University have developed a new technique that allows them to assess radiation exposure in about an hour using an insulator material found in most modern electronics. The technique can be used to triage medical cases in the event of a radiological disaster.
“If there is a large radiological event in a populated area, it would be difficult or impossible to treat everyone who could potentially have acute radiation syndrome,” says Robert Hayes, an associate professor of nuclear engineering at NC State and first author of a paper on the work. “You’d need to be able to figure out who was exposed to enough radiation to require treatment.”
The approach relies on testing crystalline insulators found in everything from thumb drives to smartphones. Because the technique is high-throughput, accurate and precise, it can adequately assess an individual’s exposure in about an hour, Hayes says. Prior methods can take weeks.
“Given that health providers have a one- to two-week window to start treating victims of acute radiation syndrome, the technique should be sufficient to identify which patients require the necessary care,” Hayes says. “It could not only identify individual cases of acute radiation syndrome, but also help authorities determine which geographic areas received the most radiation.
“But it’s not just about identifying those that require care,” Hayes says. “For example, our technique might have been useful in a place like Fukushima, for putting people’s minds at ease. It’s like having your own personal radiation detector.”
The technique requires the insulator to be removed from its electronic device and cleaned. The sample is then placed in a thermally stimulated luminescence reader, which collects spectra relating to the number of electrons found in the flaws inherent to the sample’s crystalline structure. That spectral data is then fed into a custom algorithm that calculates the sample’s radiation exposure.
“This technique requires specialized equipment and expertise, so it’s not something most locales would have on hand,” Hayes says. “But labs like mine could run the tests and provide the authorities with good data very quickly. In addition to NC State, I know there’s another lab with relevant expertise and infrastructure at Oklahoma State University, and one in Denmark, though there are likely others.
“Hopefully, this technique won’t be necessary for a long time, if ever. But we think it’s important to develop these tools before they are needed.”
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