From Air Pollution to the Anthropocene and Planetary Health. Implications for Clinicians, Researchers, and Society

Discrete fast Fourier transform-assisted ultraviolet-infrared dual resonance spectroscopy for aerosol detection and identification

Aerosol decrease is considered as one of the most important environmental challenges. The current study introduces a novel analytical method for accurate and precise detection and identification of different aerosols. The designed array-based spectroscopic method is based on "discrete fast Fourier transform"-assisted dual resonance ultraviolet-infrared spectroscopy for reliable quantitative/qualitative analysis of aerosols like fug, smog, silica-based micro-/nanoparticles, carbon soot, etc. The detection system is arranged using a slice (5 × 5 cm) of a digital versatile disk as a simple, low-cost, available, and size-controllable wavelength selector (grating) and light reflector with control through a software program. The results show that this method is suitable for real-time detection of different types of chemical agent-modified particles with acceptable sensitivity and selectivity and improved detection limit.