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
Data sets
Al-CAL-SPAMS S. Zhu https://doi.org/10.17632/zhx56bzjfj.1
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...
