Bioaerosol Identification by Wide Particle Size Range Single Particle Mass Spectrometry
文献类型：期刊论文
| 作者 | Li, Xuan2,4; Li, Lei2,4; Zhuo, Zeming2,4; Zhang, Guohua3 ; Du, Xubing2,4; Li, Xue2,4; Huang, Zhengxu2,4; Zhou, Zhen2,4; Cheng, Zhi1
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| 刊名 | ATMOSPHERE
 |
| 出版日期 | 2023-06-01 |
| 卷号 | 14期号:6页码:15 |
| 关键词 | bioaerosol single particle aerosol mass spectrometer (SPAMS) online identification |
| DOI | 10.3390/atmos14061017 |
| 英文摘要 | The properties of bioaerosols are complex and diverse, and have a direct impact on the environment, climate, and human health. The effective identification of bioaerosols in the atmosphere is very significant with regard to accurately obtaining the atmospheric chemical characteristics of bioaerosols. To improve the detection of large particle bioaerosol and non-bioaerosol interference in the process of bioaerosol recognition, this study detected a variety of bioaerosols and abiotic aerosols based on a single particle aerosol mass spectrometer (SPAMS). Furthermore, the bioaerosol particle identification and classification algorithm based on Zawadowicz the ratio of phosphate to organic nitrogen is optimized to distinguish bioaerosols from abiotic aerosols. The influence of ionized laser energy on classification methods is thoroughly explored here. The results show that 15 kinds of pure fungal aerosols were detected by SPAMS based on a wide size range sampling system, and that fungal aerosols with a particle size of up to 10 & mu;m can 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 is 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 analytical processes. |
| WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:001014050200001 |
| 源URL | [http://ir.gig.ac.cn/handle/344008/74371]  |
| 专题 | 中国科学院广州地球化学研究所 |
| 通讯作者 | Cheng, Zhi |
| 作者单位 | 1.AMS PLA, Syst Engn Inst, Tianjin 300161, Peoples R China 2.Jinan Univ, Inst Mass Spectrometry & Atmospher Environm, Guangzhou 510632, Peoples R China 3.Chinese Acad Sci, Guangzhou Inst Geochem, Guangzhou 510640, Peoples R China 4.Guangdong Prov Engn Res Ctr Online Source Apportio, Guangzhou 510632, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Xuan,Li, Lei,Zhuo, Zeming,et al. Bioaerosol Identification by Wide Particle Size Range Single Particle Mass Spectrometry[J]. ATMOSPHERE,2023,14(6):15. |
| APA | Li, Xuan.,Li, Lei.,Zhuo, Zeming.,Zhang, Guohua.,Du, Xubing.,...&Cheng, Zhi.(2023).Bioaerosol Identification by Wide Particle Size Range Single Particle Mass Spectrometry.ATMOSPHERE,14(6),15. |
| MLA | Li, Xuan,et al."Bioaerosol Identification by Wide Particle Size Range Single Particle Mass Spectrometry".ATMOSPHERE 14.6(2023):15. |
入库方式： OAI收割
来源：广州地球化学研究所
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