Issue 7, 2024

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

Abstract

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.

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

Supplementary files

Article information

Article type
Paper
Submitted
09 Mar 2022
Accepted
01 Feb 2024
First published
04 Mar 2024

Analyst, 2024,149, 2131-2137

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

M. Rajaei Ramsheh and M. M. Doroodmand, Analyst, 2024, 149, 2131 DOI: 10.1039/D2AN00411A

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