 This study proposes a novel method for detecting volatile organic compounds, VOCs. It uses a two-dimensional germanium sulfide, gas, material to identify and measure VOCs. This material has a unique response to different VOCs, allowing it to be used as a selective sensor for these compounds. Additionally, machine learning can be used to differentiate between various types of VOCs by analyzing their dynamic responses. This approach could be used in applications such as non-invasive diagnosis of diseases and health monitoring. This article was authored by Mohammed Reza Mohammedzada, Amir Hossain Hassani, Kivan Jafferzada, and others.