Security: Explosive breakthrough in research on molecular recognition

A team of researchers including post-doctoral fellows Seonghwan Kim, Dongkyu Lee and Xuchen Liu, with research associate Charles Van Neste, visiting professor, Sangmin Jeon from the Pohang University of Science and Technology (South Korea), and Department of Chemical and Materials Engineering professor Thomas Thundat, has found a method of using receptor-free nanomechanical infrared spectroscopy to increase recognition of chemical molecules in explosive mixtures.

Detecting trace amounts of explosives with mixed molecules presents a formidable challenge for sensors with chemical coatings. The nanomechanical infrared spectroscopy used by the Univesity of Alberta research team provides higher selectivity in molecular detection by measuring the photothermal effect of the absorbed molecules.

Thundat, who holds the Canadian Excellence Research Chair in Oil Sands Molecular Engineering, says the spectroscopy looks at the physical nature of the molecule and "even if there are mixed molecules, we can detect specific molecules using this method."

Seonghwan (Sam) Kim explained that conventional sensors based on coatings generally cannot detect specific molecules in complex mixtures if the concentration of interfering molecules is five times greater than the target molecules. The detection sensitivity and selectivity are drastically increased using the high-power infrared laser because the photothermal signal comes from the absorption of infrared photons and nonradiative decay processes. Using this method, a few trillionths of a gram of explosive molecules can now be detected in a complex mixture even if there is a higher concentration of other interfering molecules.

The research team's findings are published in Scientific Reports by Nature Publishing Group on January 23, 2013.

The research team's current work looks at detecting biomolecules and hydrocarbons in the oil industry and nerve gas stimulants (DMMP), which can be found in household radiators, gasoline, and fabric softeners, for example. The team also hopes to develop a hand-held device for chemical detection that could be utilized in fields such as security, health care and environmental protection.