How well can we predict cluster fragmentation inside a mass spectrometer?

Monica Passananti; Evgeni Zapadinsky; Tommaso Zanca; Juha Kangasluoma; Nanna Myllys; Matti P. Rissanen; Theo Kurtén; Mikael Ehn; Michel Attoui; Hanna Vehkamäki

doi:10.1039/c9cc02896j

How well can we predict cluster fragmentation inside a mass spectrometer?

Monica Passananti, Evgeni Zapadinsky, Tommaso Zanca, Juha Kangasluoma, Nanna Myllys, Matti P. Rissanen, Theo Kurtén, Mikael Ehn, Michel Attoui, Hanna Vehkamäki

Research output: Contribution to journal › Article › Scientific › peer-review

50 Citations (Scopus)

7 Downloads (Pure)

Abstract

Fragmentation of molecular clusters inside mass spectrometers is a significant source of uncertainty in a wide range of chemical applications. We have measured the fragmentation of sulfuric acid clusters driving atmospheric new-particle formation, and developed a novel model, based on first principles calculations, capable of quantitatively predicting the extent of fragmentation.

Original language	English
Pages (from-to)	5946-5949
Number of pages	4
Journal	Chemical Communications
Volume	55
Issue number	42
DOIs	https://doi.org/10.1039/c9cc02896j
Publication status	Published - 2019
Externally published	Yes
Publication type	A1 Journal article-refereed

ASJC Scopus subject areas

Catalysis
Electronic, Optical and Magnetic Materials
Ceramics and Composites
General Chemistry
Surfaces, Coatings and Films
Metals and Alloys
Materials Chemistry

Access to Document

10.1039/c9cc02896jLicence: CC BY

How well can we predict cluster fragmentation 2019Final published version, 2.41 MBLicence: CC BY

http://urn.fi/URN:NBN:fi:tuni-202011027757Licence: CC BY

Cite this

@article{e0fc30aa47e9415aa32225d2dc2319f7,

title = "How well can we predict cluster fragmentation inside a mass spectrometer?",

abstract = "Fragmentation of molecular clusters inside mass spectrometers is a significant source of uncertainty in a wide range of chemical applications. We have measured the fragmentation of sulfuric acid clusters driving atmospheric new-particle formation, and developed a novel model, based on first principles calculations, capable of quantitatively predicting the extent of fragmentation.",

author = "Monica Passananti and Evgeni Zapadinsky and Tommaso Zanca and Juha Kangasluoma and Nanna Myllys and Rissanen, {Matti P.} and Theo Kurt{\'e}n and Mikael Ehn and Michel Attoui and Hanna Vehkam{\"a}ki",

year = "2019",

doi = "10.1039/c9cc02896j",

language = "English",

volume = "55",

pages = "5946--5949",

journal = "Chemical Communications",

issn = "1359-7345",