Articles | Volume 13, issue 8
https://doi.org/10.5194/amt-13-4111-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-13-4111-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
03 Aug 2020
Research article |
| 03 Aug 2020
| 03 Aug 2020
Development of an automatic linear calibration method for high-resolution single-particle mass spectrometry: improved chemical species identification for atmospheric aerosols
Shengqiang Zhu
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, China
Shurong Wang
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
Mei Li
Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, China
Yaxi Liu
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
Xiaohui Lu
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
Hong Chen
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China
Jianmin Chen
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China
Zhen Zhou
Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou 510632, China
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China
School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
Xiaofei Wang
CORRESPONDING AUTHOR
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention, Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China
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Cited
7 citations as recorded by crossref.
- Analytical performance of single particle aerosol mass spectrometer for accurate sizing and isotopic analysis of individual particles Y. Su et al. 10.1016/j.atmosenv.2023.119759
- Deposition of ambient particles in the human respiratory system based on single particle analysis: A case study in the Pearl River Delta, China S. Jia et al. 10.1016/j.envpol.2021.117056
- Investigating aerosol chemistry using Real-Time Single Particle Mass Spectrometry: A viewpoint on its recent development X. Wang et al. 10.1016/j.apgeochem.2022.105554
- The chemical composition and mixing state of BC-containing particles and the implications on light absorption enhancement J. Sun et al. 10.5194/acp-22-7619-2022
- Development and characterization of a high-performance single-particle aerosol mass spectrometer (HP-SPAMS) X. Du et al. 10.5194/amt-17-1037-2024
- Technical note: Determining chemical composition of atmospheric single particles by a standard-free mass calibration algorithm S. Shi et al. 10.5194/acp-24-7001-2024
- Secondary aerosol formation in incense burning particles by O3 and OH oxidation via single particle mixing state analysis Z. Liang et al. 10.1016/j.scitotenv.2023.164942
7 citations as recorded by crossref.
- Analytical performance of single particle aerosol mass spectrometer for accurate sizing and isotopic analysis of individual particles Y. Su et al. 10.1016/j.atmosenv.2023.119759
- Deposition of ambient particles in the human respiratory system based on single particle analysis: A case study in the Pearl River Delta, China S. Jia et al. 10.1016/j.envpol.2021.117056
- Investigating aerosol chemistry using Real-Time Single Particle Mass Spectrometry: A viewpoint on its recent development X. Wang et al. 10.1016/j.apgeochem.2022.105554
- The chemical composition and mixing state of BC-containing particles and the implications on light absorption enhancement J. Sun et al. 10.5194/acp-22-7619-2022
- Development and characterization of a high-performance single-particle aerosol mass spectrometer (HP-SPAMS) X. Du et al. 10.5194/amt-17-1037-2024
- Technical note: Determining chemical composition of atmospheric single particles by a standard-free mass calibration algorithm S. Shi et al. 10.5194/acp-24-7001-2024
- Secondary aerosol formation in incense burning particles by O3 and OH oxidation via single particle mixing state analysis Z. Liang et al. 10.1016/j.scitotenv.2023.164942
Latest update: 23 Nov 2024
Short summary
Single-particle aerosol mass spectrometry (SPAMS) is widely used to detect chemical compositions and sizes of individual aerosol particles. However, it has a major issue: the mass accuracy of high-resolution SPAMS is relatively low. Here we developed an automatic linear calibration method to greatly improve the mass accuracy of SPAMS spectra so that the elemental compositions of organic peaks, such as Cx, CxHy, CxHyOz and CxHyNO peaks, can be directly identified just based on their m / z values.
Single-particle aerosol mass spectrometry (SPAMS) is widely used to detect chemical compositions...
