Volatile Organic Compounds In article number 2205458, Michael M. Adachi and co‐workers demonstrate a new sensing mechanism based on surface interactions between volatile organic compounds (VOC) and UV‐excited twodimensional (2D)… Click to show full abstract
Volatile Organic Compounds In article number 2205458, Michael M. Adachi and co‐workers demonstrate a new sensing mechanism based on surface interactions between volatile organic compounds (VOC) and UV‐excited twodimensional (2D) germanium sulfide (GeS), which provides an effective solution to distinguish VOCs. The GeS sensor shows a unique dynamic response to different VOC species, facilitating identification and qualitative measurement of VOCs. Machine learning is utilized to distinguish VOC species from their dynamic response via visualization with high accuracy. The proposed approach demonstrates the potential of 2D GeS as a promising candidate for selective VOCs sensors in critical applications such as non‐invasive diagnosis of diseases and health monitoring.
               
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