Development of an automatic linear calibration method for high-resolution single-particle mass spectrometry: improved chemical species identification for atmospheric aerosols
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
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
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
Viewed
Total article views: 2,828 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,997
744
87
2,828
398
107
141
HTML: 1,997
PDF: 744
XML: 87
Total: 2,828
Supplement: 398
BibTeX: 107
EndNote: 141
Views and downloads (calculated since 09 Mar 2020)
Cumulative views and downloads
(calculated since 09 Mar 2020)
Total article views: 2,337 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,715
552
70
2,337
215
82
119
HTML: 1,715
PDF: 552
XML: 70
Total: 2,337
Supplement: 215
BibTeX: 82
EndNote: 119
Views and downloads (calculated since 03 Aug 2020)
Cumulative views and downloads
(calculated since 03 Aug 2020)
Total article views: 491 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
282
192
17
491
183
25
22
HTML: 282
PDF: 192
XML: 17
Total: 491
Supplement: 183
BibTeX: 25
EndNote: 22
Views and downloads (calculated since 09 Mar 2020)
Cumulative views and downloads
(calculated since 09 Mar 2020)
Viewed (geographical distribution)
Total article views: 2,828 (including HTML, PDF, and XML)
Thereof 2,562 with geography defined
and 266 with unknown origin.
Total article views: 2,337 (including HTML, PDF, and XML)
Thereof 2,179 with geography defined
and 158 with unknown origin.
Total article views: 491 (including HTML, PDF, and XML)
Thereof 383 with geography defined
and 108 with unknown origin.
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...