Insights into atmospheric oxidation processes by performing factor analyses on subranges of mass spectra
Our understanding of atmospheric oxidation chemistry has improved significantly in recent years, greatly facilitated by developments in mass spectrometry. The generated mass spectra typically contain vast amounts of information on atmospheric sources and processes, but the identification and quantif...
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Veröffentlicht in: | Atmospheric chemistry and physics 2020-05, Vol.20 (10), p.5945-5961 |
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Zusammenfassung: | Our understanding of atmospheric oxidation chemistry has improved
significantly in recent years, greatly facilitated by developments in mass
spectrometry. The generated mass spectra typically contain vast amounts of
information on atmospheric sources and processes, but the identification and
quantification of these is hampered by the wealth of data to analyze. The
implementation of factor analysis techniques have greatly facilitated this
analysis, yet many atmospheric processes still remain poorly understood.
Here, we present new insights into highly oxygenated products from monoterpene
oxidation, measured by chemical ionization mass spectrometry, at a boreal
forest site in Finland in autumn 2016. Our primary focus was on the formation
of accretion products, i.e., dimers. We identified the formation of
daytime dimers, with a diurnal peak at noontime, despite high nitric oxide
(NO) concentrations typically expected to inhibit dimer formation. These
dimers may play an important role in new particle formation events that are
often observed in the forest. In addition, dimers identified as combined
products of NO3 and O3 oxidation of monoterpenes were also found
to be a large source of low-volatility vapors at night. This highlights the
complexity of atmospheric oxidation chemistry and the need for future
laboratory studies on multi-oxidant systems. These two processes
could not have been separated without the new analysis approach deployed in our
study, where we applied binned positive matrix factorization (binPMF) on
subranges of the mass spectra rather than the traditional approach where
the entire mass spectrum is included for PMF analysis. In addition to the
main findings listed above, several other benefits compared to traditional
methods were found. |
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ISSN: | 1680-7324 1680-7316 1680-7324 |
DOI: | 10.5194/acp-20-5945-2020 |