Trace-level detection of free polycyclic aromatic hydrocarbons based on magnetic driving and deep learning-assisted recognition

Key Points

• Detection of free polycyclic aromatic hydrocarbons is achieved using advanced techniques.
• Key evidence includes high accuracy in recognizing these compounds with deep learning algorithms.
• Analysis utilizes magnetic driving to enhance detection methods for environmental samples.
• This method may enable more effective monitoring of hazardous pollutants in various environments.