A novel signal processing approach enabled by machine learning for the detection and identification of chemical warfare agent simulants using a GC-QEPAS system.

ABSTRACT: The detection and identification of chemical warfare agents (CWAs) present challenges in emergency response scenarios and for safety and security applications. This study presents the development and validation of an innovative analytical method using a gas chromatography (GC) and quartz-enhanced photoacoustic spectroscopy (QEPAS) sensor for the detection of stimulants for six CWAs. Following the guidelines of the European Network of Forensic Science Institute (ENFSI) and the Commission Implementing Regulation (EU) 2021/808, the analytical method was validated. The validation results demonstrated the robustness and reliability of both the GC and QEPAS modules. Moreover, with regard to the toxicological threshold levels, this study highlights the efficacy of a prototype of a portable device

SUBMITTER: Liberatore N 

PROVIDER: S-EPMC12392267 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature