Bioaerosol Identification by Wide Particle Size Range Single Particle Mass Spectrometry

The properties of bioaerosols are complex and diverse, have a direct impact on the environment, climate, human health. effective identification in atmosphere is very significant with regard to accurately obtaining atmospheric chemical characteristics making biological early warnings predictions. To improve detection large particle bioaerosol non-bioaerosol interference process recognition this study detected variety abiotic aerosols based single aerosol mass spectrometer (SPAMS). Furthermore, classification algorithm Zawadowicz ratio phosphate organic nitrogen optimized distinguish from aerosols. influence ionized laser energy methods thoroughly explored here. results show that 15 kinds pure fungal were by SPAMS wide size range sampling system, up 10 μm can be detected. Through spectra peak method PO3−/PO2− CNO−/CN−, when discriminating such as disruptive biomass combustion particles, automobile exhaust, dust bacterial aerosols, discrimination degree 97.7%. has strong specificity, which serve discriminant basis for identifying analytical processes.