Preprints
https://doi.org/10.5194/egusphere-2022-598
https://doi.org/10.5194/egusphere-2022-598
 
26 Jul 2022
26 Jul 2022

Technical Note: Bioaerosol identification by wide particle size range single particle mass spectrometry

Xuan Li1,2, Lei Li1,2, Zeming Zhuo1,2, Guohua Zhang3, Xubing Du1,2, Xue Li1,2, Zhengxu Huang1,2, Zhen Zhou1,2, and Zhi Cheng4 Xuan Li et al.
  • 1Institute of Mass Spectrometry and Atmospheric Environment, Jinan University, Guangzhou, 510632, China
  • 2Guangdong Provincial Engineering Research Center for On-Line Source Apportionment System of Air Pollution, Guangzhou, 510632, China
  • 3Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
  • 4Institute of Systems Engineering, Academy of Military Sciences, Tianjin, 300161, China

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

Xuan Li et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-598', Anonymous Referee #1, 24 Aug 2022
    • AC1: 'Reply on RC1', Lei Li, 19 Oct 2022
  • RC2: 'Comment on egusphere-2022-598', Anonymous Referee #2, 29 Aug 2022
    • AC2: 'Reply on RC2', Lei Li, 19 Oct 2022
  • RC3: 'Comment on egusphere-2022-598', Anonymous Referee #3, 07 Sep 2022
    • AC3: 'Reply on RC3', Lei Li, 19 Oct 2022

Xuan Li et al.

Xuan Li et al.

Viewed

Total article views: 435 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
320 94 21 435 6 5
  • HTML: 320
  • PDF: 94
  • XML: 21
  • Total: 435
  • BibTeX: 6
  • EndNote: 5
Views and downloads (calculated since 26 Jul 2022)
Cumulative views and downloads (calculated since 26 Jul 2022)

Viewed (geographical distribution)

Total article views: 372 (including HTML, PDF, and XML) Thereof 372 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Nov 2022
Download
Short summary
The particle size and chemical composition of bioaerosol were analyzed based on single particle aerosol mass spectrometer. Fungal aerosol of 10 μm was measured for the first time and the characteristic spectrum of bioaerosol was updated. The ion peak ratio method can distinguish bioaerosols from interferers by 97 %. The factors influencing the differentiation of bioaerosols are also discussed. Single particle mass spectrometry can be a new method for real-time identification of bioaerosols.