Researchers have developed a reusable magnetic sensing platform that combines surface-enhanced Raman scattering with machine learning to detect trace levels of uranyl ions, the most common soluble form of uranium in environmental waters. The system could support faster and more sustainable monitoring of uranium contamination in complex aquatic environments.
Uranium monitoring is important for environmental protection and the safe development of nuclear energy. However, detecting very low concentrations of uranyl ions can be difficult, particularly when samples contain many other dissolved substances. Conventional analytical techniques can provide high sensitivity, but they often depend on expensive instruments, complex sample preparation, and trained operators.
