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New method detects environmentally unfriendly chemicals

Mass spectral imaging could inform how to lessen organic pollutants

Image shows a molecule diagram on the bottom left with bright blue circles. There is a bar chart on the top left and a close up image on the top right showing orange and yellow pixilation.
In time-of-flight analysis, polyethylene glycol is ionized and analyzed for its mass-to-charge ratio, producing 2D mass spectra of the sample surface. Credit: Adam Malin/ORNL, U.S. Dept. of Energy

Substances called polyethylene glycols, or PEGs, are widely used in industry, medical, cosmetics and personal care products. The problem is, when they enter the environment and build up, they can harm ecosystems and natural resources. Existing approaches to detecting these environmentally unfriendly chemicals — such as chromatography or bulk mass spectrometry — fall short because they lack the necessary sensitivity. However, new research led by Oak Ridge National Laboratory has demonstrated an effective technique for identifying PEGs in the environment.

The image depicts a molecule made up of 6 white balls, two smaller red balls and two larger grey balls. This molecule is against a pink, blue and purple background.
Polyethylene glycols, or PEGs, are widespread, from cosmetics to medicine. But their persistence in the environment poses serious risks. Thanks to what’s called mass spectral imaging, scientists can now detect these pollutants with unprecedented precision, paving the way for better ecological protection. Credit: Adam Malin/ORNL, U.S. Dept. of Energy

Using time-of-flight mass spectrometry, or ToF-SIMS, a sensitive mass imaging technique, the researchers determined the molecular makeup of PEG structures and pinpointed them in cosmetic products for the first time. This advancement — finding trace manmade polymers and persistent pollutants — is key in formulating monitoring and restoration strategies.

“Our study’s achievement is a stride toward detecting, identifying and monitoring PEGs in the real world because it underscores the applicability of ToF-SIMS in distinguishing organic pollutants within an intricate environmental context,” said ORNL’s Xiao-Ying Yu.  — Scott Gibson