Mass spectrometry-based <i>Aerosolomics</i>: a new approach to resolve sources, composition, and partitioning of secondary organic aerosol

نویسندگان

چکیده

Abstract. Particulate matter (PM) largely consists of secondary organic aerosol (SOA) that is formed via oxidation biogenic and anthropogenic volatile compounds (VOCs). Unambiguous identification SOA molecules their assignment to precursor vapors are challenges have so far only succeeded for a few marker compounds, which now well characterized (partly) available as authentic standards. In this work, we resolve the complex composition by means top-down approach based on newly created Aerosolomics database, fed non-target analysis results filter samples from flow reactor experiments. We investigated products five VOCs α-pinene, β-pinene, limonene, 3-carene, trans-caryophyllene four toluene, o-xylene, 1,2,4-trimethylbenzene, naphthalene. Using ultrahigh-performance liquid chromatography coupled high-resolution (Orbitrap) mass spectrometer, determine molecular formula 596 chromatographically separated exact isotopic pattern. utilize retention time fragmentation spectra basis unambiguous attribution parent VOCs. Based molecular-resolved application able assign roughly half total signal oxygenated hydrocarbons in ambient suburban PM2.5 one nine studied The database enabled us interpret appearance diurnal compound clusters different processes. Furthermore, performing hierarchical cluster (HCA) same set samples, identified depend sulfur dioxide mixing ratio temperature. This study demonstrates how tools (database HCA) applied PM can improve our understanding sources, formation pathways, temperature-driven partitioning compounds.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Investigating types and sources of organic aerosol in Rocky Mountain National Park using aerosol mass spectrometry

The environmental impacts of atmospheric particles are highlighted in remote areas where visibility and ecosystem health can be degraded by even relatively low particle concentrations. Submicron particle size, composition, and source apportionment were explored at Rocky Mountain National Park using a High-Resolution Time-of-Flight Aerosol Mass Spectrometer. This summer campaign found low averag...

متن کامل

Secondary organic aerosol formation from fossil fuel sources contribute majority of summertime organic mass at Bakersfield

[1] Secondary organic aerosols (SOA), known to form in the atmosphere from oxidation of volatile organic compounds (VOCs) emitted by anthropogenic and biogenic sources, are a poorly understood but substantial component of atmospheric particles. In this study, we examined the chemical and physical properties of SOA at Bakersfield, California, a site influenced by anthropogenic and terrestrial bi...

متن کامل

A new method to discriminate secondary organic aerosols from different sources using high-resolution aerosol mass spectra

Organic aerosol (OA) represents a significant and often major fraction of the non-refractory PM1 (particulate matter with an aerodynamic diameter da < 1 μm) mass. Secondary organic aerosol (SOA) is an important contributor to the OA and can be formed from biogenic and anthropogenic precursors. Here we present results from the characterization of SOA produced from the emissions of three differen...

متن کامل

Equilibration timescale of atmospheric secondary organic aerosol partitioning

[1] Secondary organic aerosol (SOA) formed from partitioning of oxidation products of anthropogenic and biogenic volatile organic compounds (VOCs) accounts for a substantial portion of atmospheric particulate matter. In describing SOA formation, it is generally assumed that VOC oxidation products rapidly adopt gas-aerosol equilibrium. Here we estimate the equilibration timescale, teq, of SOA ga...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Atmospheric Measurement Techniques

سال: 2022

ISSN: ['1867-1381', '1867-8548']

DOI: https://doi.org/10.5194/amt-15-7137-2022