Point-of-sampling diagnostics has gained interest for its potential to detect trace amounts of analytes in real-time. Several challenges persist with developing accurate and reliable field-testing techniques, including limits of detection, portable and durable instrumentation, and cost effectiveness for routine monitoring. To combat these challenges, our goal is to develop a facile, field deployable Surface-Enhanced Raman Scattering (SERS) sensor for detecting trace amounts of Chemical Warfare Agents (CWAs) and environmental contaminants such as perfluoroalkyl substances (PFAS). In collaboration with the University of Cincinnati, we optimized the ink formulation and printing parameters for AgAu nanostars using a machine learning optimization algorithm to achieve the best SERS performance using the minimal AgAu nanostars. The SERS sensor performance and limits of detection were assessed using CWAs and PFAS. Future work includes exploring the tunability of the LSPR of the AgAu nanostars for compatibility with commercially available handheld Raman spectrometers.
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