Development and Characterization of an Aerosol Time-of-Flight Mass Spectrometer with Increased Detection Efficiency

2004 ◽  
Vol 76 (3) ◽  
pp. 712-719 ◽  
Author(s):  
Yongxuan Su ◽  
Michele F. Sipin ◽  
Hiroshi Furutani ◽  
Kimberly A. Prather
Keyword(s):  
Mass Spectrometer ◽  
Detection Efficiency ◽  
Time Of Flight ◽  
Flight Mass Spectrometer

Development and Characterization of an Aircraft Aerosol Time-of-Flight Mass Spectrometer

2009 ◽  
Vol 81 (5) ◽  
pp. 1792-1800 ◽  
Author(s):  
Kerri A. Pratt ◽  
Joseph E. Mayer ◽  
John C. Holecek ◽  
Ryan C. Moffet ◽  
Rene O. Sanchez ◽  
...  
Keyword(s):  
Mass Spectrometer ◽  
Time Of Flight ◽  
Flight Mass Spectrometer

Characterization of a simple glow discharge coupled to a time of flight mass spectrometer for in-depth profile analysis

2002 ◽  
Vol 17 (9) ◽  
pp. 1126-1131 ◽  
Author(s):  
Jorge Pisonero ◽  
José Manuel Costa ◽  
Rosario Pereiro ◽  
Nerea Bordel ◽  
Alfredo Sanz-Medel
Keyword(s):  
Glow Discharge ◽  
Mass Spectrometer ◽  
Depth Profile ◽  
Profile Analysis ◽  
Time Of Flight ◽  
Depth Profile Analysis ◽  
Flight Mass Spectrometer

scholarly journals Laser ablation aerosol particle time-of-flight mass spectrometer (LAAPTOF): Performance, reference spectra and classification of atmospheric samples

2017 ◽  
Author(s):  
Xiaoli Shen ◽  
Ramakrishna Ramisetty ◽  
Claudia Mohr ◽  
Wei Huang ◽  
Thomas Leisner ◽  
...  
Keyword(s):  
Laser Ablation ◽  
Mass Spectrometer ◽  
Detection Efficiency ◽  
Aerosol Particles ◽  
Time Of Flight ◽  
Polystyrene Latex ◽  
Dust Particles ◽  
Data Set ◽  
Flight Mass Spectrometer ◽  
Ambient Data

Abstract. The laser ablation aerosol particles time-of-flight mass spectrometer (LAAPTOF, Aeromegt GmbH) is able to identify the chemical composition and mixing state of individual aerosol particles, and thus is a tool for elucidating their impacts on human health, visibility, ecosystem and climate. The overall detection efficiency (ODE) of the instrument we use was determined to range from ~(0.01 ± 0.01) % to ~(6.57 ± 2.38) % for polystyrene latex (PSL), ammonium nitrate (NH4NO3), and sodium chloride (NaCl) particles in the size rage of 200 to 2000 nm. Reference mass spectra of 32 different particle types relevant for atmospheric aerosol (e.g. pure compounds NH4NO4, K2SO4, NaCl, oxalic acid, pinic acid, and pinonic acid; internal mixtures of e.g. salts, secondary organic aerosol, and metallic core-organic shell particles; more complex particles such as soot and dust particles) were determined. Our results show that internally mixed aerosol particles can result in spectra with new clusters of ions, rather than simply a combination of the spectra from the single components. An exemplary one-day ambient data set was analysed by classical Fuzzy-clustering leading to six different particle classes. Correlating these particle classes with the reference spectra as well as direct comparison of the ambient data with the reference spectra has proven how useful they are for the interpretation of field measurements, for e.g. grouping data, and identifying special particle types and potential sources.

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