The goal of the mass spectrometer is to measure explosive vapors to better understand how to create an operational explosive detection system (2). This project is sponsored by the Department of Homeland Security.
"The mass spectrometer samples the air around an item and then ionizes the vapors given off by the sample," Wrobel said, according to an article published on MIT News (2). "Depending on how these chemicals ionize, we can identify the chemical vapors by analyzing the mass, charge, and fragmentation patterns reported in mass spectra data."
As part of their research process, the team collected several thousand measurements, analyzing the data to get a better sense of how the vapor signatures of concealed explosives are influenced by different sample configurations (2). The data will also be used to evaluate data processing algorithms, so they can learn how to build the best instrument possible that can be used for screening procedures (2).
"The core technology is called longwave infrared imaging," Bill Barney said to MIT, who leads the infrared laser program (2). "It uses a laser that is scanned over a surface, and the scattered laser light has a spectrum to it. Some of the wavelengths of light in that spectrum are absorbed by explosives, which means the spectrum contains a fingerprint of the explosive that we can detect."
Infrared (IR) imaging is a technique that is often used in environmental monitoring and astronomy. It’s been used to study the composition of stars and to study the composition and movement of oceans (3). When used, IR imaging captures images of the IR spectra, which is outside the range of visible light, allowing researchers to see things that would not normally be visible (3). By capturing images based on an object’s temperature, IR imaging can detect traces of explosives on the spectrum that would not normally be seen.
However, the researchers acknowledged that the IR method does have several complications that need to be addressed. Because some materials absorb light similarly to explosives, Barney and his team are exploring how machine learning can help rectify this problem (2).
"Last year, we were very successful in detecting low levels of explosives on our test samples, which is promising," Barney says (2). "But there's a lot of engineering and science left to do before you would be able to get this kind of system working in an airport."
References
(1) Bradner, E.; Marsh, R. Acting TSA Director Reassigned After Screeners Failed Tests to Detect Explosives, Weapons. CNN.com. Available at: https://www.cnn.com/2015/06/01/politics/tsa-failed-undercover-airport-screening-tests/index.html (accessed 2024-05-16).
(2) McGovern, A. Improving the Speed and Safety of Airport Security Screening. MIT News. Available at: https://news.mit.edu/2023/improving-airport-security-screening-0216(accessed 2024-05-16).
(3) Photon, etc. What is Infrared Imaging? Available at: https://www.photonetc.com/infrared-imaging (accessed 2024-05-16).
