Real-time Detection of Chemical Compounds in Dust Particles Using a Single-Particle Mass Spectrometer and its Potential for Safety Applications-Reference-Cited by-同舟云学术

Real-time Detection of Chemical Compounds in Dust Particles Using a Single-Particle Mass Spectrometer and its Potential for Safety Applications

Published:2023-10-29 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE SENSORS
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Author:

Passig Johannes¹,Schade Julian¹,Rosewig Ellen Iva¹,Pütz Michael²,Seipenbusch Martin³,Ehlert Sven⁴,Ruser Heinrich⁵,Adam Thomas⁶,Walte Andreas⁴,Zimmermann Ralf¹

Affiliation:

1. University Rostock,,Joint Mass Spectrometry Centre, Chair of Analytical Chemistry,Rostock,Germany,18059

2. Forensic Science Institute (KTI),Federal Criminal Police Office (BKA),Wiesbaden,Germany,65173

3. ParteQ GmbH,Malsch,Germany,76316

4. Photonion GmbH,Schwerin,Germany,19061

5. Institute for Applied Physics and Measurement Techn., Bundeswehr University Munich,Neubiberg,Germany,85577

6. Institute of Chemistry and Environmental Engineering, Bundeswehr University Munich,Neubiberg,Germany,85577

Funder

Federal Ministry of Education and Research (BMBF) through the ‘KMU innovativ’

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10324456/10324848/10325278.pdf?arnumber=10325278

Reference18 articles.

1. Single-particle characterization of polycyclic aromatic hydrocarbons in background air in northern Europe

2. Machine learning approaches for automatic classification of single-particle mass spectrometry data

3. Classification of Single Particles Analyzed by ATOFMS Using an Artificial Neural Network, ART-2A

4. Spatially Shaped Laser Pulses for the Simultaneous Detection of Polycyclic Aromatic Hydrocarbons as well as Positive and Negative Inorganic Ions in Single Particle Mass Spectrometry