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: 1,984 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,374
562
48
1,984
275
44
49
HTML: 1,374
PDF: 562
XML: 48
Total: 1,984
Supplement: 275
BibTeX: 44
EndNote: 49
Views and downloads (calculated since 09 Mar 2020)
Cumulative views and downloads
(calculated since 09 Mar 2020)
Total article views: 1,536 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
1,100
403
33
1,536
159
30
32
HTML: 1,100
PDF: 403
XML: 33
Total: 1,536
Supplement: 159
BibTeX: 30
EndNote: 32
Views and downloads (calculated since 03 Aug 2020)
Cumulative views and downloads
(calculated since 03 Aug 2020)
Total article views: 448 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
Supplement
BibTeX
EndNote
274
159
15
448
116
14
17
HTML: 274
PDF: 159
XML: 15
Total: 448
Supplement: 116
BibTeX: 14
EndNote: 17
Views and downloads (calculated since 09 Mar 2020)
Cumulative views and downloads
(calculated since 09 Mar 2020)
Viewed (geographical distribution)
Total article views: 1,984 (including HTML, PDF, and XML)
Thereof 1,721 with geography defined
and 263 with unknown origin.
Total article views: 1,536 (including HTML, PDF, and XML)
Thereof 1,380 with geography defined
and 156 with unknown origin.
Total article views: 448 (including HTML, PDF, and XML)
Thereof 341 with geography defined
and 107 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...
