Study of Aerosol Classification Technique Based on Normalized Intrinsic Fluorescence Signal

In this paper, we propose a method to classify aerosol particles using normalized fluorescence signals, which is applied to a fluorescent particle counter with a 405 nm laser diode as the excitation light source, allowing preliminary classification of different aerosol particles such as bacteria, riboflavin, cigarette smoke, vehicle exhaust, and fluorescent microspheres. The normalized values of the fluorescence signals of individual particles on the corresponding scattered light signals are divided into four intervals and counted in each of the four intervals. The experimental results are visualized using principal component analysis (PCA). The method can be applied to the identification and early warning of microbial particles, and reduce the interference of non-biological fluorescent particles in the environment.