Rapid Classification of OVOC Samples through a Dynamic Cataluminescence Sensor Coupled with a Code-Triggered Global Plasma-Activated System

Integrated cataluminescence (CTL) sensing for both identification and quantification has become the focus in gas-sensing methods. With the development of an integrated circuit, inspiration from electronic automation provided a convenient approach for the application of CTL sensors. Here, a global dielectric barrier discharge plasma system supported by a digital code is raised for the process-oriented sampling and gaseous dynamic dual-route reaction for the rapid quantitative and qualitative analysis of oxidative volatile organic compounds (OVOCs). Coupled with the sensing material of Tb-doped yttrium aluminum garnet (Tb-YAG), the CTGPA-CTL system provided LODs of 8.80 ppm for methanol and 8.08 ppm for ethanol as typical targets, and 11 liquor-relative OVOCs were successfully identified in a blind sampling process. In practice, 4 main types of flavors of Chinese liquors were distinguished with obviously different features as judged by commercial artificial intelligence on CTL signals, providing a promising prospect of new types of virtual CTL sensor array for wider applications.